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Wearable Experience for Knowledge Intensive Training

WEKIT consortium Dissemination: Public /82

Roadmap and Sustainability

Editors: Paul Lefrere (CCA)

Marina Cugurra (CCA)


Project No 687669

Ref. Ares(2019)565878 - 31/01/2019



Revision History Version Date Contributor(s) Modification

0.1 16.03.2018 Marina Cugurra ToC: v.1

0.2 19.03.2018 Paul Lefrere ToC: v.2

0.3 31.08.2018 ALL Partners’ comments

0.4 17.09.2018 Paul Lefrere & Marina Cugurra

ToC: v.3

0.5 15.10.2018 Paul Lefrere, Marina Cugurra, Maurizio Megliola

First round of contributions

0.6 26.10.2018 Paul Lefrere, Marina Cugurra

First draft of the deliverable

0.7 15.11.2018 Paul Lefrere, Marina Cugurra, Cinzia Rubattino, Ralf Klamma

Second round of contributions


Second draft of the deliverable

0.9 12.12.2018 ALL Third round of contributions (Individual Sustainability Plans – part 1)

0.10 19.12.2018 Mikhail Fominykh, Brigitta Zics

Fourth round of contributions


Third draft of the deliverable

0.12 18.1.2019 ALL Fifth round of contributions (Individual Sustainability Plans – part 2)

0.13 23.1.2019 Paul Lefrere, Marina Cugurra, Maurizio Megliola, Mikhail Fominykh

Sixth round of contributions


Final deliverable

0.15 29.1.2019 Liliana Ravagnolo, Maurizio Megliola

Peer review

0.16 31.1.2019 Mikhail Fominykh Quality review, styles and formatting

Disclaimer: All information included in this document is subject to change

without notice. The Members of the WEKIT Consortium make no warranty of

any kind with regard to this document, including, but not limited to, the implied

warranties of merchantability and fitness for a particular purpose. The

Members of the WEKIT Consortium shall not be held liable for errors contained

herein or direct, indirect, special, incidental or consequential damages in

connection with the furnishing, performance, or use of this material.



Roadmap and Sustainability

WP 8 | D8.4

Editor:

Paul Lefrere (CCA) Marina Cugurra (CCA)

Authors:

Paul Lefrere & Marina Cugurra (CCA)

Cinzia Rubattino & Maurizio Megliola (GFT)

Mikhail Fominykh (EP)

Ralf Klamma (RWTH)

Brigitta Zics (RAVENSBOURNE)

Reviewers:

Liliana Ravagnolo (ALTEC)

Maurizio Megliola (GFT)

Mikhail Fominykh (EP)

Deliverable number D8.4

Dissemination level Public

Version 1.0

Status Final

Date 31.01.2019

Due date M37



Table of Contents

REVISION HISTORY ................................................................................................................................................. 2

EXECUTIVE SUMMARY ........................................................................................................................................... 6

1. INTRODUCTION ..................................................................................................................................... 7

1.1. SCOPE AND OBJECTIVES ................................................................................................................................ 7 1.2. RELATION TO INTERNAL AND EXTERNAL WEKIT ENVIRONMENT ............................................................................ 7

2. METHODOLOGY ..................................................................................................................................... 8

2.1. ROADMAP BUILDING BLOCKS ........................................................................................................................ 8 2.2. ROADMAP DEVELOPMENT: WEKIT PARTICIPATORY APPROACH AND TECHNOLOGY ACCEPTANCE MODEL (TAM) ........... 11

2.2.1. Stakeholders’ engagement and active contribution ......................................................................... 11 2.2.2. ‘DevOpsUse as the chosen end-user driven innovation approach ................................................... 11 2.2.3. Engagement with key actors at European level ................................................................................ 15 2.2.4. Online Survey and Interviews............................................................................................................ 16 2.2.5. Stakeholders’ consultation during the final event ............................................................................ 17

2.3. TYPES OF STAKEHOLDERS INTERESTED IN WEKIT ROADMAP ............................................................................... 17

3. ROADMAP FOR AR AND WT-BASED TRAINING AND EXPERIENCE-SHARING IN INDUSTRY ................... 18

3.1. DESCRIPTION OF THE ROADMAP FOR AR AND WT-BASED TRAINING IN INDUSTRY ................................................... 18

4. WEKIT SUSTAINABILITY FRAMEWORK ................................................................................................. 33

4.1. WEKIT EXPLOITABLE ASSETS. SUPPLY-SIDE AND DEMAND-SIDE FRAMEWORK FOR APPRAISING WEKIT EXPLOITABLE

RESULTS 33 4.2. WEKIT BUSINESS IMPACT ASSESSMENT ........................................................................................................ 35 4.3. WEKIT SUSTAINABILITY MODEL AND MARKET PENETRATION CONCEPT ............................................................... 38 4.4. WEKIT INDIVIDUAL SUSTAINABILITY PLANS.................................................................................................... 39 4.5. WEKIT JOINT SUSTAINABILITY ACTIONS AND FUTURE PLANS .............................................................................. 39

4.5.1. Commercial Exploitation Vehicle ...................................................................................................... 39 4.5.2. Joint Ownership Agreements and IP Licensing Strategies ................................................................ 40

5. CONCLUSIONS ..................................................................................................................................... 44

REFERENCES ......................................................................................................................................................... 46

ANNEX I. INDIVIDUAL SUSTAINABILITY PLANS ..................................................................................................... 48

GFT ITALIA S.R.L. (GFT) ........................................................................................................................................ 48 Partner profile .................................................................................................................................................... 48 Identification of opportunities............................................................................................................................ 48 Value propositions .............................................................................................................................................. 49

EUROPLAN UK LTD. (EP) ....................................................................................................................................... 49 Partner profile .................................................................................................................................................... 49 Identification of opportunities............................................................................................................................ 49 Value propositions .............................................................................................................................................. 49

THE OXFORD BROOKES UNIVERSITY (OBU) ............................................................................................................... 50 Partner profile .................................................................................................................................................... 50 Identification of opportunities............................................................................................................................ 50 Value propositions .............................................................................................................................................. 51

RAVENSBOURNE UNIVERSITY (RAV) ......................................................................................................................... 52 Partner profile .................................................................................................................................................... 52 Identification of opportunities............................................................................................................................ 52 Value propositions .............................................................................................................................................. 53



UNIVERSITETET I TROMSOE (UIT) ............................................................................................................................ 54 Partner profile .................................................................................................................................................... 54 Identification of opportunities............................................................................................................................ 55 Value propositions .............................................................................................................................................. 55

OPEN UNIVERSITEIT NEDERLAND (OUNL) ................................................................................................................. 55 Partner Profile..................................................................................................................................................... 55 Identification of opportunities............................................................................................................................ 56 Value propositions .............................................................................................................................................. 57

RHEINISCH – WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN (RWTH) ...................................................................... 57 Partner profile .................................................................................................................................................... 57 Identification of opportunities............................................................................................................................ 58 Value propositions .............................................................................................................................................. 58

TEKNOLOGIAN TUTKIMUSKESKUS VTT OY (VTT) ........................................................................................................ 58 Partner profile .................................................................................................................................................... 58 Identification of opportunities............................................................................................................................ 58 Value propositions .............................................................................................................................................. 59

CLEAR COMMUNICATION ASSOCIATES LIMITED - CCA (CCA) ......................................................................................... 59 Partner profile .................................................................................................................................................... 59 Identification of opportunities............................................................................................................................ 59 Value propositions .............................................................................................................................................. 60

LUFTRANSPORT AS (LT)......................................................................................................................................... 60 Partner Profile..................................................................................................................................................... 60 Identification of opportunities............................................................................................................................ 61 Value propositions .............................................................................................................................................. 61

EBIT S.R.L. (EA) ................................................................................................................................................... 61 Partner profile .................................................................................................................................................... 61 Identification of opportunities............................................................................................................................ 62 Value Proposition ............................................................................................................................................... 63

ADVANCED LOGISTICS TECHNOLOGY ENGINEERING CENTER SPA (AL) ............................................................................... 63 Partner Profile..................................................................................................................................................... 63 Identification of opportunities............................................................................................................................ 67 Value propositions .............................................................................................................................................. 68

ANNEX II. MODEL JOINT OWNERSHIP AGREEMENT ............................................................................................. 70

ANNEX III. IPR REGISTRY ...................................................................................................................................... 79



Executive summary This deliverable describes WEKIT roadmap, setting out the key driving factors, actions and timeframes that will enable WEKIT to shape knowledge-intensive training practices, technologies, standards and business models in many industries, and, in strict interrelation with such roadmap, the associated sustainability plans, considered from a mid-term and long-term multi-disciplinary perspective, both at partner level and at project level. The multi-level and multi-disciplinary approach adopted is functional to strengthen WEKIT platform and services sustainability after the project.

The document is structured as follows.

Section 1 is an introductory part, where the scope and objectives of the deliverable are outlined, as well as its positioning within WEKIT internal and external environment.

In Section 2 the methodological guiding principles and approaches are deepened, with details on:

the roadmap building blocks and the types of stakeholders interested in WEKIT Roadmap

the ‘DevOpsUse’ end-user driven innovation approach and Technology Acceptance Model

followed for stakeholder participation

stakeholders’ mobilization and involvement in the design and refinement of the roadmap

examples of engagement with key actors at European level, as well as the online survey,

interviews, bilateral meetings and stakeholders’ consultation during the final event

Section 3 fully describes WEKIT roadmap for AR and WT-based training and knowledge-intensive experience-sharing in industry, resulting from the depicted analysis of stakeholders’ feedback, as well as by partners’ knowledge and lessons learnt from pilot operations.

Section 4 outlines the sustainability framework, both at project level and at partner level, lingering over:

Exploitable Assets

Business Impact Assessment

Sustainability Model and Market Penetration Concept

Individual Sustainability plans (comprehensive Individual Sustainability Plans are inserted

in Annex I)

WEKIT Joint Sustainability actions and future plans, as well as Commercial Exploitation

Vehicle

IPR strategies and Model Joint Ownership Agreements

Section 5, finally, draws the main conclusions.

The document is completed with Annexes on Individual Sustainability Plans (Annex 1), the Model Joint Ownership Agreement elaborated by CCA (Annex II) and the final version of the IPR Registry (Annex III).



1. Introduction

1.1. Scope and objectives

In terms of the DoA scope and objectives, the primary purpose of D8.4 is to depict, on the one hand, the WEKIT roadmap, setting out the key driving factors, actions and timeframes that will enable WEKIT to shape knowledge-intensive training practices, technologies, standards and business models in many industries, and, on the other hand, the associated sustainability plans, considered from a mid-term and long-term multi-disciplinary perspective, both at partner level and at project level, and based on the findings of the Business Impact assessment. This multi-level approach will help individual partners and groups of partners to mature and refine their plans in order to target the successful implementation, which will support the sustainability of the services also after the project.

1.2. Relation to internal and external WEKIT Environment

From an internal perspective, this document is strictly interrelated with IPR management, with overall exploitation issues and with the analysis of business and economic impact of the project, depicted in D8.2, and moves towards exploring the commercial potential of WEKIT exploitable results, both in the framework of sustainability actions and of the implementation of the roadmap. The Consortium worked since the beginning of the project on exploitation, IPR and business planning with a goal-directed approach, leading to better and more results-focused planning and implementation of the core R&D activities.

Moving to an external perspective, this document is linked to:

WP5 “Workplace Integration and Human Aspects”, mainly in relation to work on pathways

for business integration

WP6 “Industrial Learning Scenarios, Evaluation and Pilots”, where the prototypes

assembled within WP2 were tested

WP7 “Outreach, Community and Capacity Building”, mainly due to the stakeholders’

enlistment, outreach and engagement

Technical WPs, where key results have been generated: WP2 “Wearables-Enhanced

Learning Technology Platform” WP3 “Wearable Experience Capturing and Analytics” and

WP4 “Augmented Reality Learning and Experience Re-enactment”



2. Methodology

2.1. Roadmap Building Blocks

The WEKIT Roadmap sets out the key driving factors, actions and timeframes suggested by WEKIT industry-focused stakeholders as shaping their organizations’ coming interests and investments in various types of knowledge-intensive training and experience-sharing, relevant to WEKIT.

The associated building blocks include AR-related and wearable-related aspects of innovations in:

training practices

training technologies and architectures

training and certification standards and business models

personalisation and localisation of training

business processes and practices (e.g., Industry 4.0)

data analytics (e.g., deep learning)

knowledge-sharing and knowhow-licensing

These building blocks reflect and address long-standing challenges for stakeholders that include limits to their ability to seize opportunities to exploit knowledge-intensive innovations and generally to adapt to change (i.e. limits to absorptive capacity). Causes of such limits include skill shortages that reduce scope for in-house innovations, appropriation of third-party innovations, and improved working methods (e.g., capable of cutting costs, operational errors and waste). Specific examples of areas of current interest to high-influence stakeholders (e.g., operational managers in factories, decision-makers and opinion-shapers) include ways to combine AR and image recognition to track each step in carrying out a complex process. Such innovations can lead to cheap ways to add in-the-moment support for, and refinements to, new business processes that combine high-value aspects of Internet-of-Things (IoT), Process Management, Distributed Ledger (Blockchain), and analytics-based knowledge management.

If existing Experience Capture and Sharing (ECS) solutions (non-AR) are combined with WEKIT’s ECS solutions, the result could be safer, cheaper, faster and better ways to address the needs of industry. Those needs include more affordable and faster ways to capture, refine and disseminate improvements to process-knowledge and to verify step-by-step compliance with new legislation (e.g., regarding use of smart AR to support operational decisions by factory operatives engaged in end-of-life recycling of raw materials).

WEKIT ECS solutions might also be relevant to adding in-the-moment capabilities to handle exceptions and unanticipated changes in the external environment. An example is the growing need for more powerful and ecosystem-wide ways for manufacturers to share new ways to work around ‘trade war’ restrictions (e.g., affecting the place and method of manufacture). This may require introducing new ways to verify and prove compliance with WTO rules, requiring training; and anticipating changes in market demand (e.g., away from making old-style complex and polluting diesel drive-trains, to making new-style regenerative-braking electric drive-trains), which require new materials, manufacturing designs, skills and manufacturing capabilities.

WEKIT’s Roadmap assumes that such challenges will grow in importance and in scope (i.e. the global economy will become far more competitive). The WEKIT Experience Capturing Solutions



Company (henceforth “WEKIT ECS Ltd”) is a key part of that Roadmap and proposes to bring to market a candidate ubiquitous solution for the KIR (Knowledge-Intensive Retraining) dimension of tomorrow’s products and services. Our roadmap assumes that as well as the KIR from WEKIT ECS Ltd, there will be competing ECS-based approaches to KIR, using open-access (public domain) parts of the WEKIT architecture or using third-party mixes of WT (Wearable Technology), AR/VR/MR (Augmented/Virtual/Mixed Reality) and complementary technology such as IoT and also AI-based data analytics (e.g., deep learning).

Whichever version of KIR-solution achieves market success, WEKIT aims to lead in conceptualising and delivering research-based solutions to KIR-related needs that can be made available as (i) combinations of hardware, software and distributed knowhow and expertise; and/or as (ii) packaged services.

Proven business models for packaged services include (a) On-Demand; (b) Subscription, including library and journal; (c) Add-on to membership of existing special-interest groups or professional societies; (d) Turn-key packaged solutions, compatible with in-use workflows. We discussed such business models, and emerging stakeholder needs and expectations, with strategists for innovation-related knowledge-intensive services (e.g., a team advising Elsevier on add-ons for SCOPUS). This pointed to using AR to support and enhance the types of KIR that publishers feel need to be devised to take society into the world of the NGI, Next Generation Internet. The anticipated demand is for ultra-fast ways to package the retraining and other forms of capacity-development that are needed to become an early user of significant industrial innovations (e.g., high-impact, recently-discovered/invented scientific, engineering or manufacturing techniques, emerging from breakthrough science such as published by Elsevier’s top journals and pre-announced in pre-prints).

WEKIT ECS is being evaluated for its relevance to the high-end plans of major players in NGI, including but not limited to leading publishers. At issue is where and how to focus. Choices include focusing on the generation, take-up and effective use of innovations; focusing on ways to identify valuable associated skills/processes/work-flows/know-how; and ways to use technology-enhanced learning to encourage creating, sharing, updating and using new knowledge.

Our roadmap’s main analytic framework for devising and operationalising industry-focused ECS is dedicated to identify what helps or hinders the development of absorptive capacity and innovation potential. The terms in italics refer to the ability of trainees, experts and teams to use, and help colleagues to use, knowledge-intensive ways to improve their ability to anticipate, understand, share, use and augment experiences, insights, ideas and technologies. That framework is applied to WEKIT’s timeline for identifying and advancing state-of-the-art insights into using AR and WT technologies, especially for training and experience-management in industry.

The driving factors we consider include ways to reduce fragmentation in and between research and practice by guiding firms, their collaborators and staff through the emerging trends, standards, challenges and growth constraints to the use of AR and WT for learning and experience-sharing in industry, paving the way to the sustainability of WEKIT ECS Ltd and other ways of packaging WEKIT-derived solutions to KIR needs, and then scaling out to additional industries.

The WEKIT Roadmap, through its innovation of a re-purposable and wearable learning experience, will improve the efficiency and effectiveness of industrial learning, by leveraging WEKIT’s new methodology and technological platform co-developed with the WEKIT community of stakeholders. The Roadmap will identify innovative technologies for learning; refer to a new prototype and case modules of scenarios; and address the need for internationally-adopted standards for interactive content and its adaptations into learning scenarios, thereby contributing to innovation in practice being workable by stakeholders in an emerging global industry.



The WEKIT Roadmap is built around key building blocks as follows.

WEKIT Roadmap Building Blocks

Building Block Description

1. Key Trends This building block of the Roadmap is aimed at identifying key trends in AR- and WT-based training in industry, relevant to building innovative capacity and expanding the market for KIR products and services

.2 Growth limitation This building block identifies the main growth limitations to the spread of the use of AR and WT for learning and experience-sharing in industry, for instance in terms of weaknesses, threats, barriers and constraints.

3. Advantages, benefits, strengths

This building block is directed to identify the characteristics of using AR and WT for packaging new knowledge, particularly in ways that speed learning and experience-sharing in industry, which give an advantage over other learning solutions.

4. Industry/user needs & expectations

This building block is functional to identify and analyse user needs and expectations, both at a general industry level and as regards specific industry sectors including knowledge-intensive and high-innovation areas. The resulting insights will be key for fostering a wide uptake of recent and high-value knowledge via WEKIT solutions and for boosting sustainability such as via rapid updating of commercially-important processes and associated workflows.

5. Technological guidelines and challenges

This building block refers to the main technological recommendations and highlights aspects that are relevant for the advancement of AR and WT-based training in industry

6. Methodological guidelines

This building block refers to the main methodological recommendations and highlights aspects relevant to the advancement of AR and WT-based training in industry

7. Application analysis (adaptation for learning scenarios)

This building block refers to the application analysis adapted for learning scenarios, relevant to the advancement of AR and WT-based training in industry

8. Standards This building block refers to the development of standards for AR learning experiences, for moving towards European and Global Standards in the field of AR training, notably in collaboration with IEEE ARLEM group.

9. Business scenarios, effects and opportunities

This building block refers to additional potential business scenarios and use cases, focusing on the advantages and opportunities of adopting KIR solutions that use AR and WT-based training. It also refers to efficiency-boosting solutions enabled by AR and WT-based potentialities.



2.2. Roadmap development: WEKIT participatory approach and

Technology Acceptance Model (TAM)

2.2.1. Stakeholders’ engagement and active contribution

This section describes WEKIT’s bottom-up and top-down adaptive roadmapping processes, coupled with participatory design and TAM, adopted by WEKIT Consortium. Roadmap development in WEKIT relies on the RWTH innovative end-user driven innovation approach named ‘DevOpsUse’, which integrates State-of-the-Art models of software development and training delivery with innovation coming from stakeholders in the connected communities. WEKIT roadmap development occurred in a co-creative process with the engagement of SMEs and other stakeholders in WEKIT community to fully capture their value for improving WEKIT innovation capacity.

Subsequently, the following aspects are used in detailed roadmap development:

mix of methods used to draft the roadmap then update it, e.g. to reconcile roadmap topics

and roadmap dates, taking into account planned-for changes in technologies, systems, costs,

needs and unplanned-for changes in the external environment (e.g., tracked by horizon

scans); this can be refined by measuring changes in stakeholders’ desires, expectations,

capabilities, budgets and needs (e.g., captured by QFD Quality Function Deployment and

other “voice of the customer” methods of “transforming qualitative user demands into

quantitative parameters, including the RWTH Requirements Bazaar that was built in the

ROLE and the Learning Layers projects); in such ways, we have begun the continual journey

of listening to customers, as per Akao, Yoji (1994). "Development History of Quality

Function Deployment". The Customer Driven Approach to Quality Planning and Deployment.

Minato, Tokyo: Asian Productivity Organization;

regular surveys of involved stakeholders and action planning workshops with their

representatives, in conjunction with WP7 community building implementation;

valorization of the link with TAM (as developed in WEKIT), and, as well as with

standardization of AR/WT-based training in EU and Globally, due to working closely with

stakeholders from industry and academia;

Stakeholder Group prioritization in the various events and link with WP7 and WP6, and the

role of the roadmap development in supporting innovation and early adoption of WEKIT

solutions by bridging gaps between these different types of stakeholders in the value chain.

2.2.2. ‘DevOpsUse as the chosen end-user driven innovation approach

DevOps is a new and quite successful software engineering methodology from RWTH. The main idea is to bring developer teams (Dev) and IT operations teams (Ops) closer together for a more efficient process of delivering IT services to end-users, thus striving for quality, including maintenance, from the start. A wide range of DevOps tools thereby supports the integration of work processes and closer communication and collaboration. Typical examples are tools for issue tracking, revision control, or continuous integration. In parallel, IT companies are increasingly opening towards active end-user participation not only in the evaluation of existing, but also in the innovation and design of new services and products, for example, with social media campaigns or Open Source Software initiatives. We see two challenges in the model in the moment.

First, it differs from the hardware or operating system specific software development kits of the most vendors. For that reason, most available mixed reality applications are only running on one platform or the availability on different platforms depends on the massive investments of the app



producers, for example, Pokemon Go. DevOps is the way to overcome this situation from a methodological point of view, since with the automation of processes of software development and the delivery models it lowers the barriers for platform independent mixed reality applications. The second challenge is the inclusion of end-users. Despite a high potential for beneficial synergies of bringing end-user voice and contribution closer to development and operations, the current DevOps model does not include any explicit notion for such end-user participation. Furthermore, current DevOps tools are often too technical and confusing for end-users, thus effectively hampering an effective collaboration with them.

We propose the DevOpsUseXR model as conceptual extension of the standard DevOps cycle by an additional cycle of end-user contributions (Paterno and Santoro 2017) with immersive analytic support. In WEKIT Roadmap, we follow the DevOpsUse model (“eat our own dog food”).

Figure 1. DevOpsUse Methodology (Klamma at al. 2015, Derntl et al. 2014, 2015, Renzel et al. 2017)

We conceptually extend the DevOps methodology to address this missing perspective of end-user participation in innovation, design, and evaluation and thus coined the term DevOpsUse (Klamma at al. 2015, Derntl et al. 2014, Derntl et al. 2015, Renzel et al. 2017). This conceptual extension is reflected in our addition of a third cycle around the de-facto standard DevOps cycle model (Fig. 1), highlighting the roles and contributions of end-users.

In our extension, we explicitly reflect end-user contributions such as ideas and needs, co-design, feedback from beta-tests, and better understanding of the user base context, practical experience, etc. In the other direction, end-users become more involved and motivated by an increased awareness on ongoing design processes. In order to support end-users with an easier and less confusing entry into useful contributions to the DevOpsUse (Klamma at al. 2015, Derntl et al. 2014, Derntl et al. 2015, Renzel et al. 2017) methodology, we further developed several tools such as Requirements Bazaar for Social Requirements Engineering (Renzel et al. 2015, Renzel and Klamma 2014) and MobSOS (Renzel et al. 2008, Renzel et al. 2015) for community success-aware evaluation, based on experiences from other projects. For Web application engineering we further developed our Direwolf approach for collaborative editing over the Web and use OpenAPI specifications to model the interaction flow and the Web front ends of Web applications over the Web (Koren and Klamma 2018, Koren and Klamma 2018). More details on the DevOpsUse methodology and its tools is available on http://results.learning-layers.eu/. Webcasts for the tools are available at Youtube (https://goo.gl/6NbU28).



Our methodological research challenge is to transfer and extend the DevOpsUse methodology for the development of social mixed reality applications. We call this methodology DevOpsUseXR. In particular, co-design, beta-testing and practice takes place in a mixed reality environment. This has to be reflected by the environment. For example, we need to apply immersive analytics (Marriott et al., 2018; Laska et al., 2018). Feedback of sensors and the application state, possible interventions need to be mediated in the mixed reality environment itself.

Tools in the DevOpsUseXR development methodology:

Requirements Bazaar - The requirements bazaar is an award-winning Web application for

end-user and developer communities in open innovation settings. It was devised by RWTH

and other WEKIT partners in the FP7 integrating project Learning Layers. It has been

widely adopted by communities world-wide, in particular outside Europe. At the moment it

has a solid user basis of 500+ with 1500+ requirements in the main installation

https://requirements-bazaar.org/. Moreover, the Web application is also a nice example for

the delivery of modern progressive Web Applications. Due to its modern responsive design

it runs on all mobile platforms. The microservices in the background are hosted by the

las2peer approach. The services are connected by RESTful Web interfaces. The user

authentication and authorization is making use of the international standard OpenID

Connect (OIDC, https://openid.net/connect/) that is also used by major Web companies

like Google and Facebook. However, the OIDC provider (https://api.learning-

layers.eu/o/oauth2/) and all data are under control of RWTH Aachen University by

managing an own installation site. At the moment, the system has 2000+ users and

authorizes 120+ Web applications.

Gitlab/JIRA Issue Tracker - Issue Trackers are extremely important for open, transparent

and traceable communication between end-users, developers, IT operators and other

researchers. They already belong to the DevOps core of our methodology. Issue trackers are

offered by all major code sharing and hosting platforms. Their functionality does not differ

much recently.

Github/GitLab - Both Github and GitLab are established source code sharing and hosting

platforms. Also other alternatives are possible but need to be aligned with issue tracking

and continuous integration and delivery tools.

Jenkins - Jenkins is the leading continuous integration tool allowing the automation of

software production and testing to a large extent.

Docker-facilitated runtime system - Docker Swarm/Kubernetes based Linux container

systems are industry-strong and widely supported means to deliver software across

heterogeneous platforms and systems. Additionally its simplicity and yet extensive set of

functionalities aligns well with the goal of the project for easy customizability of services.

Docker is a technology allowing wrapping application instances together with their

dependencies into a container to ship them together.

Direwolf IFML - The Direwolf IFML editor is a collaborative Web application to perform

model-driven design of interaction flows and Web front ends together. The necessary code

for the Web application will be generated automatically from the generated and

transformed models. It will be part of the research challenge to generate code for mixed-

reality applications.

MobSOS/SWEVA - MobSOS is a community success awareness model that allows

community to define their own success models for the appropriation of information

technologies. It unifies quantitative and qualitative data collection, analysis and

visualization. With MobSOS it is possible to model performance indicators and success

factors that are combined into a success model for a specific community. Data provisioning

can be done completely automatically in the case of quantitative data or supported by



qualitative data collection tools like online questionnaires. MobSOS is coming with tools for

the visualization of success model data but also completely integrated into SWEVA, a

collaborative Web Application for the collaborative design of analytic processes and

visualizations.

Tools for end-user co-design and participatory design or end-user programming tools

developed in the project.

Immersive Analytics is the use of engaging, embodied analysis tools to support data understanding and decision making. (Marriot et al. 2018). Wearables are becoming more social in many application domains. While their major purpose is to interact with the person wearing the device, it is very attractive to users to share the data recorded by the device with a specified community. Despite common privacy concerns in the beginning, shared data are frequently used for gamification of the application domain. Fitbit is offering to share fitness data like step count with friends. The use of leaderboards is motivating users within the community to exercise more. In this little example, we can identify major challenges for collaborative immersive interaction analytics. Interaction analytics is the use of big data for the planning and intervention of collaborative processes (such as collaborative learning, collaborative work, collaborative team-play). Community analytics is using experience related data under the control of communities of practice with respect with their collaborative processes in open environments like the Web (Klamma 2013, Koren and Klamma 2017). In the field of eSports, approaches to support real-time analytics often rely on dashboard designs (Charleer et al., 2018).

Going beyond entertainment, major challenge is the privacy and security of shared data. While in many domains, users share their data voluntarily, the affordances of privacy and data security are significantly higher in domains that involve learning-on-the-job for proprietary and high-value industrial processes. It will be not possible to store sensitive data on repositories of companies, unless they can give guarantees for data security and protection. Privacy issues must be considered in future roadmaps, to comply with changing legislation. Another challenge is the technological openness of the approach. In the example, data can only be shared using the same hardware and software setup, while in immersive analytics, data of different devices with heterogeneous data formats should be shared in a common repository under the full control of the community sharing the data and not under the control of a company. A third challenge is that the data are visualized via Web applications and not using the immersive situation to give situated and embodied feedback supported by the multi-sensory environment. So, the user cannot access the data during the collaborative processes but only afterwards. Moreover, the users get a visual or non-visual presentation of the data and the analytics, which is basically generated by somebody.

Our approach is to give the community complete control over continuous visual collaborative analytics in an immersive manner. We state the following ambitions for communities using CROSS-REAL:

Communities shall be able to collaboratively edit interaction analytics processes;

Communities shall be able to use multi-sensory feedback;

Communities shall be able to analyse and visualize collaboratively interaction traces;

Communities shall be able to use interaction analytics in an immersive, situated and

embodied manner;

Communities shall be able to store and retrieve their own interaction traces under their

own control;

Communities shall be able to protect their data.

For covering the stated requirements, we combine our existing collaborative community interaction analytics platform SWEVA/MoBSOS as part of the DevOpsUseXR methodology. Storage and retrieval of community interaction traces is based on a xAPI/ARLEM based experience record



store. The immersive analytics concept is based on augmented reality head mounted displays. Not only the experience is collaborative but also the analytics process (e.g. through peer assessment).

2.2.3. Engagement with key actors at European level

WEKIT project also actively engaged with key policy makers and advisers, both at European and national level. They include, for instance:

Policy Hub and the involvement of key policy makers and adviser

WEKIT was invited to present details of its industry trials and its policy-relevant findings to a high-level evidence-gathering event, a “Policy Hub”, on 30th November 2018. Policy Hubs are fora for dialogue and debate among experts within the European Parliament and other institutions, as well as the wider academic community. Policy Hub discussions focus on topical issues on the agenda of Parliament's political bodies.

This Policy Hub was requested by the Employment Committee of the European Parliament to inform the Committee about how Augmented Reality and Wearable Technologies can be used to address important challenges that the Union is facing as a result of accelerating rates of change in knowledge-intensive sectors. The event, entitled “Employment & Training Issues with Key Enabling Technologies - Case: H2020 Project WEKIT”, took place at the European Parliament in Brussels.

The employment policy implications and workplace applications of WEKIT’s pioneering combination of AR, Wearables and AR standards (ARLEM) was presented and discussed. Stephan Pascall (EP) introduced and explained the WEKIT’s relevance to Union policy on managing innovation, especially in relation to core enabling technologies. Insights from WEKIT’s industry trials were presented by Liliana Ravagnolo of ALTEC (e.g. from Norway, for Lufttransport; and from Italy, for ALTEC’s astronaut training for the International Space Station, and for EBIT’s medical imaging training). Points about best-practice innovations and Technology Enhanced Learning were presented by Paul Lefrere (CCA). After the presentations, in depth discussions took place with eight decision makers and political advisers from the European Parliament on how the WEKIT Tool can be made available to other industries, how such technologies could improve working conditions, improve health and safety measures at the workplace, update and improve professional qualifications and work opportunities.

European Space Agency ODF WG meeting

A presentation of the WEKIT project and a demo of the WEKIT tool were shown to representatives of the European Space Agency (ESA) during a meeting held in ALTEC in November 2018, with the aim of verifying the possibility of including the WEKIT Tool as a technological demonstrator in one of the ESA missions.

ESA’s reaction was of great enthusiasm and they expressed a preliminary interest in inviting the project to bid to participate in developing AR training for space-based services (a Call for Interest is pending), besides sending useful comments/suggestions for improvement after the test.

ESA interest in the project would provide the possibility to test the tool with astronauts (initially on Earth) and will be a great opportunity for improvement.

The WEKIT tool could be beneficial to enhance the training process for astronaut and to support future Exploration missions on Mars or on the Moon.

The WEKIT tool usage can be proposed incrementally to verify its applicability to space activities:



During ground training (to reduce training time, necessity of qualified instructors presence

and travelling expenses)

In the “analogue” environment like the Concordia Station in Antarctica or the ESA Pangaea

project, as a technological demonstrator.

On board ISS with a dedicated experiment, to support crew activities with a “just in time”

refreshment of the procedure to be performed.

In general ESA expressed appreciation for the tool and we discussed with them the possibility to envisage a future testing of WEKIT in the frame of one analogue experience like Pangaea or Concordia.

2.2.4. Online Survey and Interviews

As stated above, WEKIT Roadmap for stakeholders was built through a bottom-up and top-down process, tying in external stakeholders into both the technology platform development and this roadmap, as well as mobilizing the roadmap community also in view of managing sustainability beyond project end.

After the establishment of the structure of the roadmap (the so-called Building Blocks), the first cohort of the roadmap community, drawn from the professional networks of partners and composed of 283 members of the WEKIT Stakeholder Community, was contacted and the roadmap was prepared and shared with it, mainly through an on-line consultation and interviews in bilateral meetings with stakeholders, with the key role of industrial partners.

The following pictures show the percentage of respondents from each type of stakeholder group (Fig. 2):

Figure 2. Stakeholder groups



They belong to the following industry/domain of interest (Fig. 3):

Figure 3. Industry/domain of interest

2.2.5. Stakeholders’ consultation during the final event

Additional relevant feedbacks were collected from members of second cohort who attended WEKIT final event within Augmented World Expo Europe 2018, after a brief demo-session. The main findings of this interaction are contained in Section 5.2.

We proceeded to analyze feedback and later produced the final release of the roadmap, as outlined in this document, taking into account the comments and suggestions for refinement and improvement.

2.3. Types of stakeholders interested in WEKIT Roadmap

The third and final community event took place at one of the mixed reality industry’s largest trade fairs, the Augmented World Expo 2018 EU (AWE EU). Themed “Design Competition”, the event aimed at “innovating new use cases beyond the original ideas of the project, addressing on the first place those stakeholders who want to use the outcomes of the project in applied sense”.

Collecting input like new and updated requirements for the project & the ARLEM standard was considered as important, to support and feed the further development beyond the project lifetime. In this respect, sustainability of the results in terms of research, development and experiences made is another crucial point. Beyond, we aimed to find more trial partners and other possible collaborations with booth visitors. Among others, we aimed at training providers who already have AR training content available, but lack a framework to curate and update it and to innovate.

We agreed on the main target of the third community event to be SG2, SG3, SG4, and SG5. At the AWE EU 2018 event, all these stakeholder groups were represented, plus the remaining two. Besides, we saw an added value in targeting information gatekeepers, i.e. reporters and blog authors, whose summaries of AWE stands can reach future WEKIT stakeholders like potential early customers who could not attend AWE, also people who can help us to drive up the usage of our web portal and social media. Besides the mentioned stakeholders, we welcomed any member of the general public, to convey the message that training in mixed reality is fun.

Overall, from the officially reported over 2000 visitors, we counted around 300 people who have spent at least time watching the video running on the TV set, and/or have read the posters. Around 60 stand visitors asked us for a detailed demo of WEKIT.one with one of the HoloLenses available. At least a few visitors were also interested in our wearable solutions, and tried to put on the garments and the harness.



WEKIT was well represented in this industry gathering and performed well. The majority of exhibiting companies was dealing with training in mixed reality, using AR/VR but not wearables; however WEKIT was without competition in the area of experience capturing, and more specifically the recording of experts within the AR environment. With the co-location of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), also leading researchers and institutes could be made aware of the WEKIT project.

We will organize an event at the VRX Europe 2019, Amsterdam, The Netherlands, April 10-12, 2019 https://www.clocate.com/conference/VRX-Europe-2019/74109/. At this event we will mainly seek for investors.

3. Roadmap for AR and WT-based training and

Experience-sharing in industry This section gives more details of the WEKIT roadmap for AR and WT-based training and knowledge-intensive experience-sharing in industry.

3.1. Description of the Roadmap for AR and WT-based training in

industry

This chapter describes WEKIT roadmap for AR and WT-based training and knowledge-intensive experience-sharing in industry, outlining, for each of its building blocks, the main findings, taking into consideration stakeholders’ opinions and their analysis.

We are going to prepare a business-oriented synthesis of the Roadmap for the public / external audience, which will be named “Roadmap for training with Augmented reality and Wearables and Experience-sharing in industry” and will be free from the project-related terminology and only contain the essence of the roadmap outlined in this section of the document.

Key Trends

As regards the Key Trends in AR and WT-based training in industry, relevant to building innovative capacity and expanding the market for new products and services, the main findings are:

Using large datasets for AI (e.g. deep learning) in experience-codification and experience-sharing is a highly relevant trend

https://www.clocate.com/conference/VRX-Europe-2019/74109/



It is very probable that future advancements in 3D capabilities, optical performance, authoring performances, and new interaction methods will render existing devices (i.e. smart glasses) more adequate for many uses in enterprises and define their success

A key AR trend is providing immersive experience where human vision (and other senses) are manipulated to create very believable illusions that seem to alter reality

AR is expected to be a game changer in uses of mobile devices equipped with AR, and will be touted as the “next big thing” and this will have an impact also in AR training in industry

The main other key trends identified by the stakeholders include:

Power will be a big challenge Game-based training Better use cases are required to justify hype Artificial intelligence and automation on instruments Content Creation Make smaller devices, easier to wear Accessibility and hardware competition Workflow management; top-level procedural visualisation WT as headsets with voice recognition used for check lists in maintenance

checks/inspections. It is very slow to enter manufacturing industry or other regulated environments (e.g.,

safety-critical maintenance) due to the regulating governments being slow to react and not willing to take risks.

Providing the right information at the right time and right on the spot Image quality and field of view are aiding Visual sense, which has already developed a lot,

but sound is also a very important sense, AR cannot meet the requirement of surround sound yet, but it is likely to be a feature of next-generation AR.

CCN (object recognition), hands-free manipulation of the AR content Support for real-time ops support AR as a means for information provision for activity implementation Personalization



Growth limitations

As regards the main growth limitations -including weaknesses, threats, barriers and constrains- to the spread of the use of AR and WT for learning and experience-sharing in industry, relevant to WEKIT landscape, the main findings are:

Integration with legacy systems, including integration cost of AR & WT with other software systems in use is perceived as a moderate challenge

Interoperability of AR & WT is perceived as a moderate challenge

Vendor lock in with AR & WT is perceived as a moderate challenge

AR & WT device management and equipping users with the resources needed to use AR & WT can be an issue, also for managing AR & WT update and upgrade procedures



Current legislation (including privacy and data security regulation) and/or its gaps can negatively affect the use of AR & WT solutions in industry

The main other growth limitations identified by the stakeholders include:

Security and Safety Content production must be more cost effective Human factors - Ageing of MD Missing Content The equipment is too big and interface man-machine interface too cumbersome. Lack of globally accepted standards for the development of AR models Lack of specialists Psychological elements, such as lack of confidence in technology; lack of technical support Certification for AR tech to be used as an approved tool in the aeronautical industry. Software and hardware locked by vendors to only work with certain devices/vendors or

software. E.g., Apple/android. Many AR software solutions only work with Apple devices. AR devices’ usability and comfort It would be necessary to define the potential market for such technologies; the market could

be driven by the likeability of use of both technologies, as well as a honest trade off between advantages and costs

Price is one of the most limiting factors. VR has entered our normal life, we can use it to play games or watch videos, and the price is not too high, but the price of AR is not only high, it also has some requirement of our machines, and it has not yet been popularized.

Team management, open access APIs Ergonomics of WT, including eye fatigue

Advantages, benefits, strengths

As regards the main characteristics of using AR and WT for learning and experience-sharing in industry, providing an advantage over other learning solutions, the main findings are:

AR and WT-based experiential learning considerably improves re-enactment and effectiveness of the learning process in training and experience-management in industry, including the learner’s capacity to re-experience and constructively reflect



upon his/her own experiences The current (i.e. third) generation of AR, providing immersive experience via Wearable Technologies (e.g. smart glasses, watches, or armbands), makes possible moderate changes in the nature, depth and scope of human learning experiences In the case of multi-tasking in hazardous settings, using AR can allow workers to conduct certain duties without using their hands (hands-free tasks) and this reduces the risks that workers have to face.

In the case of multi-tasking in hazardous settings, using AR can allow workers to conduct certain duties without using their hands (hands-free tasks) and this reduces the risks that workers have to face.

It is uncertain if the use of AR/WT solutions might improve the capacity to synthesize desired but partly-false memories that combine fragments of trainee’s direct experiences and synthesized third-party experiences



It is uncertain if the use of AR/WT technologies might allow to save time in completing a task and to know immediately when such task is finished

In knowledge-intensive environments, AR training can be augmented in situ with live expert guidance, plus a tacit learning experience and re-enactment of the expert; this can be effective in re-training workers whose skill sets need upgrading for ‘Industry 4.0’

The main other advantages, benefits and strengths identified by the stakeholders include:

Easy documentation of correct execution of tasks. Combination with IoT Radical reinterpretation of a workplace in terms of an information space. Less personnel training costs, better training, experience capturing, more intensive learning

and less time consuming. Learning in actual environment, rather than classroom study. In hazardous environments,

wearables can reduce concentration and can limit sensory input that may be important to the worker. E.g. limited view angles and information not relevant distracting users.

In the field of medical treatment and pharmaceutical process, sometimes it would be unnecessary to use animal testing.

Reduce cognitive load, reduce errors, save time Task performance enhancements through hands-free ops

Some stakeholders were doubtful regarding real benefits provided by the use of AR and WT for learning and experience-sharing in industry.

Industry/User needs and expectations

As regards user needs and expectations, both at a general industry level and as regards specific industry sectors, relevant to promote the uptake of WEKIT solutions and their sustainability, the main findings are:



The use of AR & WT for learning and experience-sharing in industry should allow users to increase productivity

The use of of AR & WT for learning and experience-sharing in industry should allow users to increase precision of tasks and reduce task error rates to nearly zero

It is possible that the use of AR/WT is able to improve collaboration by ensuring live feedback and informing others about current activity or location

Other industry/user needs and expectations

The main industry/user needs and expectations identified by the stakeholders include:

As training and support any intervention MUST have demonstrable performance benefit, at low cost, with no usability barriers

Exact AR application that are able to transport the correct information and nothing misleading/incorrect

Documentation and knowledge more accessible (for aeronautics)

Increase of productivity Authoring tools, skills to create content (training industry) For the software development sector, management of stable

platforms by the hardware manufacturers. Driving factors for acceptance and use of

The main driving factors identified by the stakeholders include: Better hardware performance, so that users do not feel that



technology

technology controls them. Content creation pipeline must be seamless and always up-to-date

Showing the right data at the right time during complex repair (i.e. taking context into account)

Easy interface man-machine. Awareness campaign Fun, ease-of-use, meaningfulness of use Light, plug-and-play solutions Transparency of development, continued support for early

adopters. An easy to use authoring tool. Usable and comfortable see

through glasses Comparing with traditional methods. Well researched and designed user experience and user

interface are the key parameters. Flexible AR scenarios so users feel empowered, not only

monitored Price, ease of use and integration

Technological guidelines and challenges

As regards the main technological recommendations and highlights aspects that are relevant for the advancement of AR and WT-based training in industry, the main findings are:

Interfaces should be created ensuring that any new solution fits seamlessly into the existing pool of hardware and software



The solution should comprise a sensor fusion API able to: - allow for flexible exchange of hardware components; - combine data from heterogeneous sensor components into common formats; - realise sensor fusion

It is uncertain if it would be advisable that the solution comprise an experience-capturing API able to generate content model by abstraction over sensor fusion API

An AR-player should be able to support 3D model with animations, video and audio annotations, as well as MQTT IoT protocol to get data from real devices

An AR-player should have user interface in 3D environment and guide function to all annotations



Multimodal UI (Audio, gestures, physical base) should be supported

The solution should comprise analytics for post analysis of AR-based learning and biofeedback data

A content repository should be included for storing and retrieving data of captured experiences through a metadata-enhanced, retrievable format, allowing to interactively reuse them

Further technological challenges and guidelines

The main further technological challenges and guidelines identified by the stakeholders include:

Standardization across different suppliers. Lack of AR developments for disabled students User guide and immediate feedback are technological

components or solutions important for an AR system Interpreting the needs of the customer and making

appropriate software. Stability in the system, light and space challenges and

challenges with/how to easily create 3D models. Interaction devices and, where applicable, smart search

engine Huge data collection and automatic and fast analysis How to adopt this technology to a common user



Industry standard AR annotations should be developed

Methodological guidelines

As regards user needs and expectations, both at a general industry level and as regards specific industry sectors, relevant to promote the uptake of WEKIT solutions and their sustainability, the main findings are:

It is important to address information adaptation to multi-device presentation (guiding authors of content such as instructional designers, experts recording experiences, ...)

Design methodologies for wearability and ergonomics should be defined through a comprehensive human-centered approach, including human factors, user-test methods, practice-based methods and emerging design tools for wearability In the visualisation design solution, it is important to take into account methods and toolkit for measuring performance and well-being of the user

Further methodological The main further methodological guidelines identified by the



guidelines

stakeholders include: Easy integration. Iterative, user-focused development. User research Simplicity of authoring environments so todays training and

ops content procedures can easily incorporate AR into their products

Application analysis (adaptation for learning scenarios)

As regards the application analysis adapted for learning scenarios, the main findings are:

Application analysis directions relevant to the advancement of AR and WT-based training in industry

The main application analysis directions identified by the stakeholders include: There is the need to be able to analyze actual repairs

to transfer common problems into AR training It is very important to map where to use these

applications. Training in identifying potentially dangerous

situations and conditions, inspections. Training of manipulation of machines and tools.

Durability, ergonomics and how easy it is to implement new things.

Tools that would evaluate AR and WT from the user-centered point of view

Sharing analysis methods and results with end users

Standards

As regards the development of standards for AR learning experiences, for moving towards European Standards in the field of AR training, in collaboration with IEEE ARLEM group, the main findings are:



It is important that learning activities and their according workplace reference models are represented in a standardized-interchange format involving specifying interaction with sensors and reacting to sensor data, in order to lower entry barriers for authoring of learning experience that spans real world interaction using sensors and computer vision, and web applications

The main standardization activities relevant to the advancement of AR and WT-based training in industry identified by the stakeholders include:

Measures of broad user ability. Being still in an exploratory phase, efforts should focus on semantic descriptions and

developing a good standardisation language. Standard maintenance data setup across the aircraft productions to be able to provide AR

compatibility For data import (e.g. CAD models) and common learning methods Testing drugs or installing precision equipment Standards preventing supplier lock-ins, at all levels Since AR is well advanced in entertainment industry, re-use of their standards should be

considered

Business Scenarios, effects and opportunities

As regards additional potential business scenarios and use cases, as well as efficiency-boosting solutions enabled by AR and WT-based potentialities, the main findings are:

A good business application in industry is to show systematic and low-tiredness ways to work safely and productively



In the health sector, a further significant business application is for capacity building in new roles for medical team members, e.g., surgery where each team member could use AR to learn and rehearse their part of a new procedure, e.g. open-heart surgery, without risking patient’s life

A good business application might be for actually immersing the remote team of a company in a project in order to bring together all employees, scattered around the globe, in a collaboration enhanced by that strong feeling of “being there” that AR instills

AR & WT-based solutions can be used to easily monitor and provide assistance to out-of-location employees, gaining a critical importance for employees working “off-site” (engineers on an oil-rig, medical first respondents, linesmen on power lines)

AR displays and WT-based solutions can provide Step-By-Step guidance by getting hyper-explicit guidance overlaying instructions on some work domain. This may happen, for instance, for assembling an automobile or carrying out other tasks of high precision with utmost accuracy and precision



Team's performance can be enhanced through richer and immersive training experiences. This empowers engineers, architects, construction workers, designers to visualize their work in progress and spot problem areas (e.g. that need adjustments) with far more accuracy and in a timely manner



4. WEKIT Sustainability Framework

4.1. WEKIT Exploitable Assets. Supply-side and demand-side

framework for appraising WEKIT exploitable results

This paragraph represents the synthesis of the bottom-up activities for identification of results and ownership (in this task and T8.1 “IPR Management”) and the top-down activities for market identification and value proposition (in T8.2 Exploitation, and T8.3 Business and Economic Impact.), conducted in parallel during the overall project duration.

Bottom-up, we started from the project deliverables and from the identified IPR assets in the IPR Registry (and Consolidated IPR Repository ANNEX 3).

The following table indicates the main project exploitable assets and their ownership situation (Table 2). This overview is essential to give precise indications to joint exploitation patterns and compensation, management and protection rules.

WEKIT exploitable assets

Name Description Ownership

WEKIT.one prototype

WEKIT.one.unified: integrated prototype for in situ authoring and re-enactment, built on the Microsoft Mixed Reality platform. Supports 3D model with animations, video, audio, text annotation, glyphs, sensor communication with the vest and other sensors.

OBU, UiT, OUNL, VTT, RAV

WEKIT hoodie (hardware)

Selection of devices that are part of the wearable hardware solution; wiring

UiT, RAV, OBU, OUNL

WEKIT Sensor fusion API (level 1)

The sensor fusion API comprises three main parts a) the hardware abstraction layer is a backbone for the hardware development and abstracts concrete hardware details to allow for flexible exchange of hardware components. b) the sensor data collection framework allows to combine data from heterogeneous sensor components into common formats c) sensor fusion

OUNL, UiT, OBU, RAV

WEKIT Analytics Method and System for Post Analysis of AR-based Learning and Biofeedback Data

RAV, VTT

Wearable Design Solution

Integrating sensory technology for wearability and effective workflow. Wearability factors will be considered through new materials, advanced manufacturing techniques and design applications. User test cycles will be executed as defined in the Design Methodology.

RAV, UiT, OBU, OUNL, EBIT, ALTEC, LT

Visualization Design Solution

Visualization method and toolkit for measuring performance and well-being of the user. Please specify the base technology (Unity3D).

RAV, VTT, UiT

Pathway for business process integration

Output: connector to e.g. sketchfab; Transformation methodology how to interface with existing business and training processes, how to work with (extract and convert) legacy content.

OBU, LT, EA, AL

Content Repository The task will develop the ARLEM content repository (for storing and retrieving data of captured experiences). The repository stores captured experiences in a metadata enhanced, retrievable format, and allows to interactively reuse them.

OUNL, LT, EA, AL



The following table shows the final release of WEKIT Exploitable bundles, which are the combination of convenient packaging individual results, with shared dependencies or a common management (Table 3). Goals for bundling includes addressing new audiences, constraints and contexts towards the next-generation AR/VR training.

WEKIT Exploitable bundles

Research validation bundle

Hacker bundle

App 'Professional bundle' (Allow end-users to use / author experiences)

Create AR-ified training' or 'Upgrade your existing training' Bundle

App 'User Bundle' (no authoring)

Performance Measurement Bundle

Description Allows to re-create WEKIT training in research context

Allows to develop and extend WEKIT platform

Allows to build new training experience in new areas

(Service: Buy Training Development and execution); Allows to test/apply existing training experiences in new context

consultancy, using wekit.one to measure performance, use the analytics to create performance reports

Resources needed

certification process

active developer community, developer tools, open source core, APIs

app, hardware, support

trainers, courses, app

just the app, content repository

analytics templates for reports, online report service, business model for performance optimization

Type of Business

Type 4

AR Consultancy, providing services to others assisting them in developing their own solution

Type 4

AR Consultancy, providing services to others assisting them in developing their own solution

Type 3

Training provider, offering an experiential training services using the WEKIT learning technology platform. WEKIT consortium could guide others in how to develop and structure their augmented reality training solutions.

Type 1(ii).

Solutions provider, configuring solutions for industry or for training providers using the WEKIT industrial strength learning technology platform. "Software provider" develops and supplies an AR training

Type 1(i). Solutions provider, configuring solutions for industry or for training providers using the WEKIT industrial strength learning technology platform. "Software provider" develops and supplies an AR training

Type 3

Training provider, offering an experiential training services using the WEKIT learning technology platform.



WEKIT can license the bundle to other SG3 companies.

platform. It could supply this platform to training providers along with an SDK that allows the training provider to configure solutions for their customers

platform. It could use the platform to configure solutions for industry or for training provider customers

Stakeholder Group

SG1 education and research in AR/WT/industrial training

SG2 AR and WT tech. developers

SG3 AR and WT training developers

SG4 Industrial training providers

These bundles have been considered to establish the concrete activities that implement exploitation and they present common features, in terms of:

specific purpose: the common aim of the result set, for example one of the bundles is

relevant to creating WEKIT training in a research context;

type of business: the area of activity of the stakeholders that can be addressed;

required resources, which refer to elements needed to make the bundle sustainable (e.g.

hardware, user application, content repository, size and coherence of user base).

Each exploitable result is associated with one or more bundles related to a set or a single stakeholder group. Exploitation actions after project end are grouped in a set of complementary focuses that depict specific areas of activities, including knowledge building, educational training, technology development, standards development / application and services development.

4.2. WEKIT Business Impact Assessment

This section contains the Business Impact Assessments of WEKIT results. This Impact Assessment was built on a comparative analysis of WEKIT.one and the competitors on the market and a comprehensive analysis of the evaluation outcomes. The Impact Assessment takes into account critical indicators, which partially coincide with the Key performance Indicators (KPIs) used in other WPs, though they will be considered under the specific viewpoint of viability and uptake of project solutions.

This Impact Assessment was mainly aimed at supporting the internal and external business development processes, giving rise to the mapping of suitable prospective application areas.

It refers to both localized business models based on scenario analysis and business models at project level, taking into consideration the initial market positioning findings described in D8.2.

The assessment refers to the financial viability and associated business potential of the WEKIT platform and associated services, mainly relying on SWOT analysis.



At the Augmented World Expo Europe 2018, four representatives of the WEKIT project visited booths of all the companies that we felt exhibited relevant products and services. Our goal was to look for solutions that would potentially compete with the WEKIT.one platform. Therefore, we were mostly interested in AR-based training in industry. We interviewed the representatives of the companies at the booths, trying their products if they were available to get the best possible understanding of what they offer. We also presented the WEKIT.one platform and in some cases discussed and compared different features. Visiting the exhibitors was not enough to cover all companies on the market, but as AWE EU 2018 is the most relevant and largest event in Europe where such companies showcase their products, the information we collected can be seen as close to representative sample, especially for Europe.

69 companies, including us, exhibited at AWE (https://eu.augmentedworldexpo.com/exhibitors/). We selected 17, with relevant features (see Table 4 below). The majority of the exhibiting companies worked on AR content development or integration of 3D models into new workplace processes (e.g., guidance or visualization) using AR applications. Some of the companies aim for workplace augmentation using either visualizations of 3D models, animations or navigation in physical spaces. Some companies highlight that they supply their services to large industry customers (although, this data may be incomplete). Another related feature that a few companies have was AR-enabled interactive documentation. Three companies from those we interviewed provided toolkits for developers or some enabling software, which they supplied to other companies that develop AR content (e.g., AMPLEXOR uses software developed by RE’FLEKT).

Three other companies demonstrated their remote guidance tools. Their common feature was an AR enhancement of a one-to-one teleconference call with hand-held devices on both ends. The AR enhancement allowed an expert to guide a worker using gestures (by placing his/her hands in front of the web camera, while the background behind the hands is being removed before the video image is streamed to the worker).

The WEKIT.one solution is different from all other AWE 2018 exhibitors. Our platform has unique features but is MVP (Minimum Viable Product) so lacks polishing and many characteristics of commercial products.

Although many companies allow creating AR content using multimedia tools, WEKIT.one offers a tool for creating content directly in AR. It allows both placing previously imported media content into physical spaces (and into step-by-step guides) and creating content while performing tasks (e.g., ghost track). This feature of recording body position, gaze direction, gestures, and voice - all relevant to a physical space - is unique.

Presenting AR content as step-by-step tutorials is a common feature. In WEKIT.one, this feature (player) is integrated into content authoring tool (recorder) in a single app. The ARLEM script is automatically generated by the recorder and can be reproduced by the player without any manual operations required.

We did not design any automatic conversion of documentation into AR, but rather focused on training procedures and educational content. Our evaluation scenarios have been created by converting descriptions of procedures (as in manuals, e-books, field-service manuals) into AR training material using different transfer mechanisms.

The WEKIT.one platform is not a toolkit for developers, but rather a tool for designers of AR training content. It can be used in a variety of industries. The platform does not require much prior knowledge or extensive training to start using it.

Our complementary training methodology has been developed and evaluated together with the technology platform. WEKIT.one does not allow live remote guidance, but asynchronous interaction

https://eu.augmentedworldexpo.com/exhibitors/



between an expert and a trainee instead. Some of the companies that offered remote guidance tools also allowed us to make video recordings of guidance sessions (which they called training material). However, these video recordings cannot be compared with ghost track recordings in WEKIT.one.

Features from companies at AWE EU, relevant to AR-based training in industry

Content development or integration / industry cases

Workplace augmentation / step-by-step AR guidance

Large industry customer / cooperation

Interactive documentation

Toolkit for developers / enabling software

Remote guidance

Augmenta X X

Hololight X X

RE’FLEKT X X

UPSKILL X X X

XMreality X

BOSCH - Automotive Service Solutions

X X

ViewAR X X

Innoctive X

TWNKLS X

AMPLEXOR X X

Crunchfish X

V/S/ONAR/ES X

Theorem X

Arilyn X

Space 1 X X X

Viscopic X X

Insider Navigation

X

Total 13 4 3 2 3 3

Based on the data presented above and those presented in the Business plan (D8.2), we made the following SWOT analysis (Table 5).

SWOT analysis

Strengths Weaknesses Opportunities Threats

Wide range of software-hardware components integrated in a single system

The developed system works, but is raw and needs multiple improvements to become a usable product

Growing / establishing AR hardware and software market

Rapid development of the AR hardware and software with largest IT companies being involved

Unique features (e.g., human performance

Small community of potential users of a

AR software enabling Training, procedural

Uncertainty about the features of new



capture and replay, training methodology, ghost track)

‘free’ version of the system and a small number of interested potential industrial customers

guidance and remote assistance in the industry are in demand.

hardware

Research-based approach, validated in three industrial environments

Cases developed in the WEKIT project can give specific / niche market opportunities

4.3. WEKIT Sustainability Model and Market Penetration Concept

This section sets out the WEKIT Sustainability model and methodology for deciding which

dimensions and factors should be considered, moving from the given business scenario types and

examining them according to the chosen business model to answer certain questions. This is

expected to provide the Consortium with insights about primary challenges to strengthening the

take up of the innovative results developed within WEKIT and a market penetration concept.

The comprehensive understanding of WEKIT sustainability relies on:

the consideration of different stakeholders’ perspectives, specifically targeting the market

segment relevant to the training strategy development value chain, as depicted in D8.2;

a twofold approach (mid-term and long-term viability and sustainability);

a close interrelation with the exploitation results, and related IP Strategy and Standards, by

building and implementing the Sustainability framework around the main outcomes of the

projects;

an interrelation with WP7 communication and outreach actions.

During the lifetime of the project, key stakeholders have been involved in the project activities as partners and associates, as participants of design workshops and demonstrations, attendees of events, respondents to surveys and more, who contributed or expressed their interest in the solutions developed in the project. The consortium has noted mainly two types of interest expressed by the stakeholders. First, an interest to test, use in other projects and voluntarily contribute to the WEKIT platform, expressed mainly by academics (SG1 – Formal education and research in AR/WT-based training and industrial training). Second, an interest to test the platform in their workplace environments and scenarios, expressed mainly by representatives of workplace training providers (SG4 – Industrial training providers) and large industrial companies (SG5 – Related EU industries).

Community is set to play the key role in the WEKIT sustainability model. As we planned in the Business plan D8.2, WEKIT aims to establish a sustainable networking community to share information about AR and related technologies as well as promote open standards for industrial and educational application. Such a community can help to achieve a wide European impact.

Establishing a Europe-wide AR training community provides an opportunity for WEKIT to openly involve as many European stakeholders of AR training as possible. Such community has been under development as a Performance Augmentation Network or PAN, led by OBU (see section 5.4.3). The community is planned to include the same range of stakeholders as outlined in the WEKIT project. The topics covered in the network do not necessarily have to be confined to what has been done in WEKIT and include related topics. Such a community would provide an ecosystem that promotes innovation in the development of AR-related technologies for both education and industry and would help to develop and establish new markets. This would be of benefit to industry as a whole.



The Freemium business model that is being implemented by the WEKIT ECS (which is currently the main exploitation vehicle of the WEKIT results) assumes that community will play a major role in the development of the WEKIT solution. The company is planning to support a ‘free’ or ‘community’ version of the system (which interested organizations or individual enthusiasts can contribute to). Employing this business model will ensure sustainability of stakeholder inputs and further evolution of the WEKIT project results in the long-term.

Given that the short-term strategy for WEKIT exploitation is successful (via WEKIT ECS, see section 5.5.1.1), we will rely on the interest of the stakeholders to develop the mid-term strategy. The WEKIT sustainability in the mid-term relies on two major activities: development of an open AR-training community (as PAN and around the free version of the WEKIT system) and development of new customer-specific cases by WEKIT ECS.

In the long term, the open AR-training community should grow assuming that there continues to be interest in industry to use AR in workplace training, the AR hardware market is led by major IT companies and growing, the AR hardware and software components are developing rapidly, and AR vendors at trade shows continue to have little understanding of how to utilize AR for training to achieve the desired effect. The same factors may facilitate the development of WEKIT ECS, its products and services. The specific hardware and software components of WEKIT.one developed in the project as POC, Proof of Concept, will quickly become obsolete or will need major improvements, again because of the rapid development of AR as an enabling technology. However, the original concepts and creative solutions are still fresh and can become the unique selling points and help in growing customer base and so create business impact.

4.4. WEKIT Individual Sustainability plans

In addition to the overall exploitation on-going paths, further intentions and roadmap of the consortium as a whole, described in this document, individual partners will continue to pursue their own sustainability and exploitation activities: every partner has defined their own initiatives and the assimilation of WEKIT project outcomes in their area of interest or specific business.

In particular, for each partner, the following details are reported in Annex II:

Partner profile: a description of the company/organization, reporting their attitude to

innovation, research activities, experience in big distributed projects, and specific role in

the consortium.

Identification of opportunities: a description of the way WEKIT project results and outcomes

are relevant to improve each partner’s business and activities, gaining a better positioning

in their markets/areas of action or opening new possibilities in different ones. It can contain

an explanation of which customers’ needs will be fulfilled by the exploited results of the

project.

Value propositions: details about the specific approach and actions to use the value of the

results of the project in each area of business.

4.5. WEKIT Joint Sustainability actions and future plans

4.5.1. Commercial Exploitation Vehicle

This paragraph reports the governance structure and exploitation vehicle set up by project partners and its expected role for long-term sustainability.



WEKIT Experience Capturing Solutions Limited (WEKIT ECS) has been incorporated in Ireland on 20.07.2017 as the main commercial exploitation vehicle of the project, to complement the Open Access publications of partners. The company has been founded by five individual representatives of the consortium, and later four more individuals joined. Initially, the strategy for the WEKIT ECS has been planned as a “service provider company”, as outlined in the WEKIT project business plan (D8.2, section 2.7.1). The strategy has been further discussed and developed, considering multiple factors. The major factors that influenced the decisions in the commercial exploitation strategy via WEKIT ECS Limited include:

lifetime of the developed software is limited (because new and better hardware will become

available, among other factors)

uncertainty of being able to receive all IPR speedily from all WEKIT project partners

availability of resources and their nature

need to attract timely investment / search for funding

Considering the factors described above, the WEKIT ECS is planning to employ a Freemium business model, which is a pricing strategy by which a product or service is provided free of charge, but money is charged for some additional features, services, or virtual or physical goods. The major ‘Community’ or ‘free’ products would include WEKIT platform, content production toolkit and training toolkit. In the ‘Enterprise’ or ‘paid’ part of that model, products would include additional features, possibly developed for specific industry customers.

WEKIT ECS outlined and started implementing the following short- to mid-term strategy to kick-off the business activity. Attracting investment into commercialization of the WEKIT solution from three sources. First, seeking industrial customers that would be interested in developing a case for their custom training scenarios (via demonstrations of existing WEKIT project cases). Second, seeking partnerships with other and large tech-industry players that are interested in the concept and that can fund development, possibly for other types of hardware (via networking and outreach). Third, applying for public and private funding to develop and enhance key components of the WEKIT platform, which would become the core of the ‘Community’ or ‘free’ products of the company (see above). Such new development can be done using the experience from trial and error process the project went through (due to its research nature). The shareholders of WEKIT ECS (all active partners in the WEKIT project) plan also to avoid using the IPR of the project partners whose policies make them unable to share / transfer them to WEKIT ECS.

The three potential sources of funding described above were selected to be pursued based on our experience during the project. If or when the company is able to reach the state of a functioning Freemium model (with at least a few enterprise customers for whom unique features are developed as additional and cross-subsidizing service), the next step would be to develop and release an ‘Enterprise’ version of the software, as a new product.

4.5.2. Joint Ownership Agreements and IP Licensing Strategies

Many WEKIT results were developed by different partners jointly with impossibility to distinguish partners’ respective contributions, giving therefore rise to a joint ownership situation.

CCA developed a model arrangement to govern this situation and provided it to the partnership, acknowledging that joint ownership is one of the most critical issues to resolve in the framework of any collaborative projects. The aim was to minimize the risk that WEKIT co-owners of IP may cause conflicts between them, thus becoming problematic.

For this purpose, we elaborated a set of possible rules with respect to their co-owned IP by preparing a model of IPR Joint Ownership Agreement (JOA). This is a separate agreement in which WEKIT joint owners, if opportune, might set out the terms and conditions of the resulting joint



ownership (assignment of the shares between joint owners, conditions of use and exploitation of the joint IP, management of the jointly owned IP and, in general, share, protection, enforcement, use and exploitation of the relevant IP asset).

The JOA is a separate agreement in which WEKIT joint owners can set out the terms and conditions of exercising their joint ownership. It is a useful arrangement to govern the joint ownership situation, that is one of the most critical issues to resolve in the framework of any collaborative projects. The JOA contributes to minimize the risk that WEKIT co-ownership of a result may cause conflicts between the partners, thus becoming problematic.

The core content of the JOA covers the following aspects:

actual owner of the IP assets

assignment of the shares between joint owners

conditions of use and exploitation of the joint result (IP)

management of the jointly-owned results (IP)

in general, sharing, protection, enforcement, use and exploitation of the relevant IP asset

Instead of elaborating a joint collaboration agreement as one-size-fits-all tool, we preferred to include different choices for the most significant clauses. We prepared an option-based model, where different choices for the most significant clauses are provided, aiming at accelerating a common understanding and fine-tuning of arrangements related to co-owned results. The following summary table shows in a simple manner the main alternatives (Table 6).

JOA options

Subject Options JOA Clause

Notes

Ownership of the jointly owned Result (Shares of ownership)

O3.1 Equal shares among the partners which generated the Result

3 O3.1 for apportioning shares between co-owners is advisable because I) it is in line with the collaborative nature of the project where the asset was generated II) it is the “easiest” solution to implement and allows for an easy assessment of the Partners’ rights and obligations deriving from the joint ownership. It is one of the most commonly used IP solutions in EU funded collaborative projects.

O3.2 Shares in proportion to the contribution to the Result

O3.3 Shares in proportion to the weight of each of the partners’ budget

Right of use of the Result

O4.1 Unrestricted use, royalty-free

4 O4.1 is the recommended alternative because it is coherent with both the collaborative nature of the project where the asset was generated.

O4.2 Unrestricted use, royalty-bearing

O4.3 Mutual restrictive conditions, royalty-free

O4.4 Mutual restrictive conditions, royalty- bearing

Right of use the Background

O5.1 Royalty-free 5 O5.2 Fair and Reasonable

Conditions



Right of commercialisation

O6.1 Written agreement and consent required

6 O6.2 is more in line with CA’s provision in art. 8.2: “…Each of the joint owners shall be entitled to otherwise Exploit the joint Results and to grant non-exclusive licenses to third parties (without any right to sub-license), if the other joint owners are given (a) at least 45 calendar days advance notice; and b) Fair and Reasonable compensation”

O6.2 Written agreement and consent not required

Protection and Maintenance

O8.1 Shared management and equal bearing

8 CA, art. 8.2 states in general that “The joint owners shall agree on all protection measures and the division of related cost in advance”. O8.4 is the recommended solution, because it speed up the processes and is coherent with the suggested solution for the apportioning of ownership between co-owners.

O8.2 Shared management and different bearing

O8.3 Single management and own expenses

O8.4 Single management and equal bearing

O8.5 Single management and different bearing

Infringement claims

O9.1

Joint responsibilities and equal bearing

9 As above.

O9.2 Joint responsibilities and different bearing

O9.3 Single responsibility and own expenses

O9.4 Single responsibility and equal bearing

O9.5 Single responsibility and different bearing

Governing law and settlement of disputes

O11.1 Arbitration 11 Disputes arising in relation to European projects are complex, involve several cross-border issues and therefore time- and cost-demanding in case of Court litigation. In case an amicable solution cannot be reached between the co-owners, the arbitration clause is preferable because it is usually a faster and cheaper solution, besides more flexible and with more simplified rules than litigation.

O11.2 Court Litigation

Improvements, Revisions

O13.1 Equal shares 13 O13.1 is more coherent with the suggested solution for the apportioning of ownership between co-owners.

O13.2 Different shares

Recommended options are marked by colouring the relevant cell. The model agreement is contained in Annex II.



The underlying approach to the template is to provide a quick, flexible and efficient tool for fostering project partners’ cooperation and encouraging the fair protection and maximum exploitation of WEKIT results.

The set of options included in the template are the most common ones. However, it is possible to combine and modify each of the clauses and options, as well as to remove some of them or add some others, in order to have the final regulation that best fits with the Parties’ interests.

In some cases, the choice of an option (e.g., equal shares in clause number 3) should have a corresponding choice in other clauses (e.g., regarding the bearing of costs for protection and claims: clauses 8 e 9).

Additional provisions for fine-tuning the agreement. For instance, regarding the protection of the result, it may be agreed that one Party will cover a country and the other Party another country. The Parties concerned can detail what Fair and Reasonable Conditions means in their specific case. These and other fine-tuning provisions can be added by each of the joint owner in the preparation of their concrete arrangement: the Model JOA hereunder only refers to the basic principles of the terms and conditions of the joint ownership situation, in order to allow partners to proceed in the implementation activities without relevant concerns, which are potentially able to delay or prevent the progression of the current fruitful collaboration.

Starting from the WEKIT IPR Registry, reporting the common understanding of the whole consortium as regards the actual owners/co-owners of the IP assets and the share of ownership, partners were encouraged and supported in finalizing “ad hoc” JOAs and are engaged in this activity.

The JOA is strongly recommended for each commercially valuable IP/asset/result

WEKIT partners confirmed their original preference for apportioning jointly owned IP in equal share, proportioning them to their R&D efforts as resulting in the DoA or to the effective effort used for the release of the relevant deliverables.

This arrangement will allow the partners that developed a result to capture the IP value to its fullest extent. Unlike the Consortium Agreement, which usually regulates a set of issues (including IPR and access rights) in the same manner for the whole consortium, the JOA applies to two or more partners (being or not member of WEKIT ECS), that co-generated one or more result or IP asset, and refers to it.



5. Conclusions The highlights resulting from the activities conducted in WP8 “Roadmap, Exploitation and Business Impact” clearly confirms the significant exploitation and sustainability potential of WEKIT.one platform and services, given the expected tangible benefits for stakeholders thanks to WEKIT achievements’ uptake.

As pointed out by the Business Impact Analysis, WEKIT.one solution is different from its competitors: it has unique features, offering a tool for creating content in AR and allowing both placing previously imported media content into physical spaces (and into step-by-step guides) and creating content while performing tasks (e.g., ghost track). This feature of recording body position, gaze direction, gestures, and voice - all relevant to a physical space – is unique. Besides presenting AR content as step-by-step tutorials, the player is integrated into content authoring tool (recorder) in a single app and the ARLEM script is automatically generated by the recorder and than can be reproduced by the player without any manual operations required.

Nevertheless, WEKIT solution needs to be refined. In fact, WEKIT.one is only MVP (Minimum Viable Product), lacking polishing and many characteristics of commercial products. Therefore, several channels and paths have been identified and are going to be further developed beside project activities and continued beyond project lifetime, both jointly, in the framework of the new company WEKIT ECS Ltd and at individual partner level.

The WEKIT ECS Company is currently the main exploitation joint vehicle of the WEKIT results, set by some of the partners’ staff and open to the others. It is a key part of that Roadmap and proposes to bring to market a candidate ubiquitous solution for the KIR (Knowledge-Intensive Retraining) dimension of tomorrow’s products and services.

The Consortium elaborated a WEKIT Sustainability Model and Market Penetration Concept for identifying most promising dimensions and factors, moving from the given business scenario types and examining them according to the chosen business model to answer certain questions. This provided the Consortium with insights about primary challenges to strengthening the take up of the innovative results developed, moving from stakeholders’ interest to test the platform in their workplace environments and scenarios, expressed mainly by representatives of workplace training providers (SG4 – Industrial training providers) and large industrial companies (SG5 – Related EU industries).

In this way, the Community, set to share information about AR and related technologies as well as promote open standards for industrial and educational application, will continue to play the strategic role in the WEKIT sustainability model, nurturing the Consortium, both as WEKIT ECS Ltd and as individual partner in the implementation of its respective exploitation plan, in achieving a wide European impact. This is aligned with one of the business models currently being implemented by the WEKIT ECS: Freemium business model, which is planning to support a ‘free’ or ‘community’ version of the system. If adopting such business model is aimed at ensuring sustainability and further evolution of the WEKIT project results in the long-term (assuming that there continues to be interest in industry to use AR in workplace training), WEKIT sustainability in the mid-term relies on two major activities: development of an open AR-training community (as PAN and around the free version of the WEKIT system) and development of new customer-specific cases by WEIT ECS.

As a consequence, long-term, mid-term as well as short-term sustainability is strictly interconnected with alignment with the stakeholder-driven WEKIT Roadmap for AR and WT-based training and Experience-sharing in industry, as depicted in Section 3.



In fact, the WEKIT Roadmap, through its innovation of a re-purposable and wearable learning experience, is expected to improve the efficiency and effectiveness of industrial learning, by leveraging WEKIT’s new methodology and technological platform co-developed with the WEKIT community of stakeholders. The Roadmap sets out the key driving factors, actions and timeframes suggested by WEKIT industry-focused stakeholders as shaping their organizations’ coming interests and investments in various types of knowledge-intensive training and experience-sharing, relevant to WEKIT. The pieces of innovation identified in the Roadmap can lead to cheap ways to add in-the-moment support for, and refinements to, new business processes that combine high-value aspects of Internet-of-Things (IoT), Process Management, Distributed Ledger (Blockchain), and analytics-based knowledge management (as in mining a factory shift’s data on key performance indicators, to help the following shift to identify and reduce systemic sources of errors and waste). WEKIT Roadmap is therefore expected to contribute to innovation in practice being workable by stakeholders in an emerging global industry.

According to the findings of the Roadmap, the Consortium is exploring in a comparative manner proven business models for packaged services include (a) On-Demand; (b) Subscription, including library and journal; (c) Add-on to membership of existing special-interest groups or professional societies; (d) Turn-key packaged solutions, compatible with in-use workflows. Furthermore, we are exploring how to position WEKIT solution in the framework of high-end plans of major players in NGI (Next Generation Internet), including but not limited to leading publishers. At issue is where and how to focus. Choices include focusing on the generation, take-up and effective use of innovations; focusing on ways to identify valuable associated skills/processes/work-flows/know-how; and ways to use technology-enhanced learning to encourage creating, sharing, updating and using new knowledge.

As regards IP, the implementation of the planned WEKIT IPR Management Strategy (Ref. D8.1) allowed to maintain a schedule of innovation produced in the course of project development and to explore the opportunity for applying for patents or declaring copyrights. A central role was played by the IPR Repository, continuously updated with new pieces of knowledge as project development advanced. As recommended by the IPR expert of the Consortium (CCA), many partners are exploring IP valorization patterns for their respective joint owned commercially valuable assets and are using the option-based Model JOA as basis for negotiations.



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Annex I. Individual Sustainability Plans This annex contains individual partners’ sustainability and exploitation intentions and includes a section for each partner with an update of the preliminary description of the singular exploitation initiatives and the assimilation of WEKIT project outcomes in their area of interest or specific business, as inserted in D8.1.

GFT Italia S.r.l. (GFT)

Partner profile

The GFT Group is a global technology partner for digital transformation. Leading international banks put their trust in GFT IT and consulting expertise to solve the complex challenges of their industry. These include developments to meet compliance regulations and the challenges of a changing digital world. The Group is active in twelve countries and employs more than 4,000 people.

Change and innovation are fundamental values in GFT: since its foundation, GFT has constantly evolved and modernised to meet industry expectations and react to market requirements.

Thanks to an extensive presence in forums, conferences and networking events, GFT identify all changes produced in the market, understand them and subsequently embrace them to make them part of its DNA.

In parallel to its own ongoing transformation, GFT envisages which of those learnings can be adopted by its clients. In doing so, the company delivers services that enrich all stages of their value chain, helping them to keep pace with the rapid changes affecting industry.

GFT achieves each challenging milestone thanks to an open and interactive approach to innovation. Many start-ups are a valuable source of new technology and new companies are typically founded with the purpose of disrupting existing systems. Being close to these start-ups is a good way to spot new opportunities and trends. This also makes it easier to connect with people and ideas, companies and entrepreneurs, governments and industries – thus acting as a vehicle for sharing and transferring innovation.

GFT main role in WEKIT is as the coordinator of project, but it is also responsible for exploitation and acted as a contributor in the activities of industry assessment (WP1), definition of the technology platform (WP2), evaluation of industrial scenarios (WP6), organization of community events (WP7), business and economic impact analysis.

Identification of opportunities

GFT is committed to ensure its market place as wide as possible and its products are sold and exploited as much as possible. It has acquired companies in the US, Middle East and Asia and integrated them into its infrastructure. It also has agents in many locations around the world, including Europe and South America. GFT would also like to establish partnership activities in Eastern Europe and further in Asia to be ready to catch new opportunities in these emerging markets. The Group has stood for technological expertise, innovative strength and premium quality for more than 25 years; WEKIT results offer an excellent opportunity to further improve GFT’s competencies and offering. By committing to WEKIT, GFT improved its cooperation, product sets and credibility and at the same time applied its expertise to furthering its and its partners exploitation of the project.



The typical GFT domain for exploitation is banking & finance which is the core of GFT activities, however GFT exploited the project results also in the Smart Cities domain. Furthermore, GFT reused the project results to investigate innovative Business Models for Industry 4.0.

Value propositions

GFT engaged in technology transfer networks to use some of the work done in WEKIT project and the lessons learnt and its utility in industrial growth sectors. It also promoted the research results within its own client base and contacts in order to further the potential use and take up of the research and development work. GFT disseminated the results of the project at a European level through some of its own strategic alliances: OSMOSE project is part of IERC (European Research Cluster for Internet of Things) and of the Sensing Enterprise Cluster including projects dealing with the Sensing Enterprise concept, moreover GFT is cooperating with AIOTI (Alliance for Internet Of Things and Innovation). Last, but not least, GFT exploited WEKIT results also in synergy with its CODE_n innovation initiative: every year CODE_n organises a contest based on an issue of global importance and aiming to identify the most promising startups from around the globe. 1,500 startups from 60 countries have applied for the contest over the past four years, with 200 finalists presenting their business models to 150,000 visitors in the past CODE_n events.

Europlan UK Ltd. (EP)

Partner profile

Europlan UK is a European company that is involved in research-and-innovation and tender projects, focusing on training, development of online services, technical or strategic studies, especially in the fields of ICT and the space industries. The company also provides training, support and consultancy for organisations seeking to enhance their participation in European Projects.

In WEKIT, Europlan is responsible for the business planning activities and involved in exploitation, dissemination and research activities.


At Europlan UK, we are very interested in exploiting some of the WEKIT outcomes and tangible results. Although, Europlan has not been directly involved into the technical development, the company is very interested in exploiting possibilities that the WEKIT platform opens for training. Training has been one of the main activities of the company and we seek to explore new opportunities, and participation in the WEKIT project is part of the implementation of this search.

Value propositions

In order to benefit from the exploitation opportunity related to training, Europlan will seek partnerships with the technical consortium partners, as the company does not have enough technical expertise to operate all technical solutions, configure them or at the moment even build training scenarios using the platform. We foresee that the WEKIT platform (or a part of it) will be either publicly available or we as a consortium partner will get an exclusive right to use it.

At the same time, Europlan foresees another exploitation opportunity. If the WEKIT platform is being commercialised (e.g., via the newly setup company WEKIT ECS) or if it is turned Open source and further developed, Europlan considers extending its training services and use the platform. The WEKIT platform should than be further developed to a state when the use of the platform is simplified enough for training companies such as Europlan to use it without technical support. It



should be noted that this is included into the operational plan of WEKIT ECS, where the key personnel of Europlan are also involved

The Oxford Brookes University (OBU)

Partner profile

Oxford Brookes University is one of the UK’s leading modern universities and enjoys an international reputation for teaching excellence and innovation. Oxford Brookes University, with its 18,000 students and 2,500 staff members, is one of the UK's leading modern universities and enjoys an international reputation for teaching excellence and innovation. It has been named the best modern university in England by the Sunday Times University Guide eleven years in a row and employs approximately 2500 staff of which 1300 are academic. OBU’s strong focus on ‘makers’ will put it into a prime position for exploitation within the university and beyond.

The Department of Computing and Communication Technologies at Oxford Brookes University contains around 30 academic staff and has an excellent reputation for research with 85% of its output judged to be internationally leading in the last UK research assessment exercise. It includes experts on decision support systems and other forms of artificial intelligence, as well as human computer interaction, computer security, and mobile computing.

OBU specialises in teaching computer programming at all levels, from absolute beginner to professional software developer. OBU with its research group on Performance Augmentation seek to close the dissociative gap between abstract knowledge and its practical application, researching radically new forms of linking directly from knowing something ‘in principle’ to applying that knowledge ‘in practice’ and speeding its refinement and integration into polished performance. It is the mission to embed knowledge directly into what people experience, enriching the world beyond the visible to allow the creation of novel and powerful forms of feedback on performance – using augmented reality and wearables.

OBU has established strong links with industry both to technology vendors and beneficiaries of AR, enriching all teaching and research activities. The members of OBU have expertise in Augmented Reality, Wearable Computing and Computer Vision.


Teaching

A module on Augmented Reality will enhance the existing curriculum and offer education in an emerging field, utilising the WEKIT technologies and approaches. The module is created collaboratively by consortium of 5 European universities. The module will consists of two multidisciplinary teaching courses (basic and advanced) on the topic of AR that will enhance quality and relevance of students’ knowledge, skills, and other abilities. The AR course will present an introduction to augmented reality, with an emphasis on designing and developing augmented reality application. It will cover the history of the area, hardware technologies involved, interaction techniques, design guidelines, evaluation methods, and specific application areas. Students will be tasked with designing, developing, and evaluating their own augmented reality application as a course project. The courses will equip graduates with the right skills for IT industry and other employers in Europe and around the world. Industrial stakeholders will be actively involved in the course design and validation process, because their understanding of the international real-life IT and creative industry context will ensure that the produced courses address the labour market needs of the new, rapidly developing field of AR.



The outcomes and experiences from WEKIT project will be used to create a new Augmented Reality Interactive Educational System (ARETE). It is a system which aims to develop and integrate interactive technology to supports fast dissemination of augmented learning content to a wide audience. WEKIT technologies and approaches will be used to create and inter-connect existing digital systems and to build a pan-European competitive ecosystem. The future interactive devices and content for education will be developed and made accessible to a broader community. It will also allow strengthening the research and industrial capacities across Europe. Through systematic application of human-centred design approaches, this system will deliver highly usable, useful and desirable AR technologies and contents, leading to a wider uptake and further stimulate their creative usage. It enables disruptive innovation of AR for interactions, access and distribution of AR educational content to be fully realised through the pilots and enhance European innovation capacity in the field.

Tangible Learning Objects

In collaboration with other faculties and departments, WEKIT technologies and approaches will be used to enrich the existing teaching programme with smart learning objects.

Smart learning objects (SLOs) developed as a result of the project together with smart educational environment (SEE) will be integrated into the real education setting to provide enhanced teaching of AR.

Start Up Company

OBU through its business development infrastructure is in a good position to foster the spin out of a start up company, licensing the project technologies and other IPR and tending to market introduction. By linking education, research and business, the project will empower AR high-tech industry and contribute to excellence and development by training a new generation of technology professionals.

Developing Network

Stakeholders involved in WEKIT will be invited to establish a closely linked network of experts, uniting the otherwise fragmented field of Performance Augmentation (PA) into a PA Network (PAN), researching the use of Augmented Reality as Job Performance Aid for Industry 4.0, where humans work collaboratively with advanced machinery and robots in design, production, maintenance, and decommissioning or recycling of innovative products and services. This network will seek to provide strategic direction for the integration of excellence in Europe, bring together key stakeholders in European PA, and establish a self-sustainable, distributed centre of excellence for PA. PAN will therefore develop a shared vision, engage in joint agenda setting to achieve it, help build required next generation capacity through training events, workshops, and a conference series, deepen network ties through exchange, and foster spreading good practice and knowledge across Europe.

Value propositions

Building Teaching Capacity

The academic literature identified and produced throughout the project, together with the expertise of all the partners is used to develop a module on Augmented Reality. All the partners share their knowledge accumulated from this and other projects to design the course. They will develop a scientifically-grounded, high-quality set of educational materials that can be applied by



teachers both in formal on-campus settings and in distance or lifelong learning settings through an online platform. Developing teachers’ competences in will allow helping them to become fluent in using AR-associated technologies. They will be able to engage and refine their awareness, exercise and iterate practice, knowledge, and skills in the area of AR in more sophisticated, interactive, creative and collaborative way. The project will raise awareness among the right stakeholders and create the solid foundation for the AR-teaching community, contributing towards sustainability of the project.

Tangible Learning Objects

Stakeholder feedback within the university is also an opportunity to work towards new collaborations beyond the project, helping to harvest WEKIT technologies and approaches from within the university.

Start Up Company

A spin out company is one possible vehicle for ensuring sustainability of project results and application at scale. It will in particular allow handling the production of any potential hardware solution, while further customising any software solution to the needs of additional customer groups beyond the pilot partners and their industrial area.

Ravensbourne University (RAV)

Partner profile

Ravensbourne is a world-class specialist higher education institution located in the heart of London that offers innovative, industry-focused courses in digital media and design. Ravensbourne is dedicated to design-led technological innovation, skill focused teaching, and applied research. Ravensbourne has a strong track record in graduate employability and business creation hosting more than 100 creative technology businesses that collaborate with its student body and industry partners.


Exploiting WEKIT Capture and Re-Enactment.

The Recorder and Player applications on the Hololens can be used for induction related to Ravensbourne prototyping facilities, training in Health and Safety within working environments as well as helping introduce students to Music and Filmmaking production equipment. This includes inductions and Continuing Professional Development (CPD) opportunities for:

Music for Media, Sound Design, Equipment Initialization Digital Television, Editing and Post Production, Outside Broadcasting Prototyping Machines External Partner Support

Exploiting Methodology for Wearability and Ergonomics as well as Wearable Design Solutions

The Methodology deliverable will refine curriculums for tutors especially in our courses in Fashion and Design, specifically:

Wearable Futures



Product Design

Workplace Integration of Wearable Technology

The principles, checklists and survey material that establish the workplace readiness for adopting wearable technology and WEKIT’s Mixed Reality technology enhanced learning can form a tested strategy and toolset for industry partners, contributing to,

Organisational Change Initiatives Technology Adoption Employee Engagement and Diversity Management.

Value propositions

Music for Media, Sound Design, Equipment Initialization

Training students to initialize equipment for music mixing is repetitive so to have a facility where they can learn on demand would save time for Tutors and enable them to focus on cultivation of creative skills for students.

Editing and Post Production, Outside Broadcasting

Tutors have requested initialization training for editing and post production equipment used in Digital Television and Filmmaking to be delivered on demand.

Prototyping

Most students at Ravensbourne engaged in producing physical outputs will at some time use the facilities of our Prototyping area including production with Laser Cutter machines, 3D Printing as well as Digital Embroidery. These will need inductions for Health and Safety as well as on Equipment Initialisation.

External Partner Support

Ravensbourne University has external partners that include Hobs 3D https://hobs3d.com who are renowned for exploiting the largest format 3D Printers in Europe, often used for producing props for the Hollywood film industry. We will be writing and teaching courses related to producing content for Augmented Reality Experiences including, 3D Modelling and 3D Printing. The WEKIT Recorder and Player can be used to help in Health and Safety inductions as well as machine initialisations.

Exploiting Methodology for Wearability and Ergonomics as well as Wearable Design Solutions

Wearable Futures

Our course on Wearable Futures explores use of innovative approaches to fashion production, especially use of new materials and technologies to be integrated into garments. Such designs can utilise the WEKIT Methodology to ensure design strategies are comprehensive and implementation of designs takes into account the environments they will be used in.

Product Design

https://hobs3d.com/



Product Design often makes use of Sensors to design interactive consumer experiences. These often go through user testing where the state of mind of the consumer needs to be established and tracked. Such systems can easily integrate with the WEKIT sensor system to provide live experience data that can be used for establishing ergonomics as well as marketing data.

Workplace Integration of Wearable Technology

Organisational Change Initiatives

When introducing a company to a new way of working through the introduction of new technology, WEKIT’s Workplace Integration approach can ensure appropriate organisational change pathways are clarified in readiness for Technology Adoption and Implementation. Integration approaches developed can give clear measures of outcomes, especially financial benefits of investing funds into the integration, otherwise known as Return on Investment (ROI).

Technology Adoption

Adoption of WEKIT Integration approaches can ensure the rollout of any new technology within a company has a clear project plan that can be implemented through a cycle of feasibility studies, pilot implementation as well as ongoing iterations in situ. Advance planning can be made for clear pipelines of accountability and support for the installation, integration, implementation, utilisation, sustainability, maintenance and evolution of any Wearable Technology platform adopted.

Employee Engagement and Diversity Management

Three kinds of people will have responsibilities or roles within companies that might make use of the methodology, guidelines for ergonomics, workplace integration and wearable design solutions WEKIT has created. Engagement strategies for employees can be offered while ensuring initiatives are respectful around matters of learning related to Diversity of the workforce. Specific demographics include,

End-users who will make use of Wearable Design Solutions

Developers -Hardware, Software or Systems Developers that design, build, test and support

Wearable Technology

Other Stakeholders that will be accountable for influencing the ongoing strategy for the

wearable tech's use and development.

Universitetet I Tromsoe (UiT)

Partner profile

UiT The Arctic University of Norway is a medium-sized research university that contributes to knowledge-based development at the regional, national and international level.

UiT The Arctic University of Norway is the third largest in Norway and the northernmost university of the world. Its location on the edge of the Arctic implies a mission. The Arctic is of increasing global importance. Climate change, the exploitation of Arctic resources and environmental threats are topics of great public concern, and which the University of Tromsø takes special interest in. At UiT The Arctic University of Norway you can explore global issues from a close-up perspective.

UiT's study portfolia covers all classical subject areas from Health Sciences, Social Sciences, Education and Humanities, Science and Technology to Economics, Law, Social Work, Tourism, Sports and Fine Arts. 15500 students and 3300 staff study and work at UiT The Arctic University of



Norway. Teaching is research-based. UiT´s eight faculties offer, in spite of a dedication to Northern issues, a broad range of study programmes.

This project is hosted at the Department of Engineering and Safety (IIS-IVT) and the Department of Technology and Safety (ITS). The departments have around 550 students and around 70 members of staff. Bachelor programmes at the department include: process and gas technology, nautical science, automation technology, safety and environment, societal safety and aviation (pilot education). In addition, the department has 4 research groups.

WEKIT project is hosted specifically by ‘Human factors in High-North’ an interdisciplinary research group at the University of Tromsø. The objective of the group is to contribute towards enhancing safe and effective operations in the arctic by studying strengths and weaknesses in human cognition, physiology, behaviour, learning, communication, co-operation and interaction.

The members of UiT have expertise in computer vision, sensors, and psychology. These skills are imperative for the design, selection, and analysis of human vision-based sensors and learning scenarios.

The members of UiT lead two tasks and contribute in seven others, the details of these tasks and the associated work packages are given below:

First, in WP3 “Wearable Experience Capturing and Analytics” T3.1 (Sensor technology Specification) is led by UiT. In addition, UiT contribute in T3.2 (Experiential Data capturing platform) and helped in the design of the PCB used for data acquisition from the Sensors and T3.3 (Experience Capturing API).

Second, in WP6 “Industrial Learning Scenarios, Evaluation and Pilots” T6.1 (Industrial Learning Scenarios for maintenance workers in Aeronautics) is supported by UiT. In addition, UiT contribute in T6.4 (Evaluation Trials in Aeronautics).


The WEKIT project results are relevant for supporting research in using augmented reality for hands on training not only in technical fields, but, also non-technical fields such as: arts. For example, capturing an artist’s experience can be used to provide additional information associated with an art project. With this aim at UiT, we plan to collaborate with our local artists.

Value propositions

By using the outcomes of the WEKIT project, we plan to develop interdisciplinary research projects that involve other departments at the university and industrial partners from Norway. As AR technologies are becoming more accessible, the potential of experience capturing systems is increasing in more and more domains.

Open Universiteit Nederland (OUNL)

Partner Profile

The Open Universiteit Nederland (English: Open University of the Netherlands) is a Dutch university or institution for distance learning for higher education at university level (both professional and scientific). The Open University of the Netherlands is a frontrunner in new learning technologies and educational insights, which develop and provide innovative educational



materials along with extensive research. Innovative education requires domain specific expertise and expertise in the field of education, Information and communication Technologies.

The Welten Institute is the Research Centre for Learning, Teaching and Technology of the Open University of the Netherlands. Its research focuses on 'Learning and teaching in technology enhanced learning environments'. Within this programme there are areas of interest:

Fostering Effective, Efficient and Enjoyable Learning

Technology enhanced learning innovations

Teaching and teacher professionalization

OUNL has been and is active in many European projects such as, to name a few,

RAGE: The RAGE-project develops components and services with which game-makers can

quickly and efficiently develop good serious games. These components and services have

been made available to game-developers in an online social space (ecosystem).

YOUTH@WORK: The project designs, develops and evaluates a digital game to support

young people (13-19 years of age) in thinking about their careers.

TeSLA: The aim of TeSLA is to improve the online assessment process by introducing tools

and resources in learning activities that gather data that enable students to be

authenticated and identified. By means of this innovative online assessment system, TeSLA

opens up new opportunities for educational institutions.

TYCO(O)NSTRUCTOR: This Erasmus+ project develop mini-games to foster

entrepreneurial competence for the construction sector.

SAFEPAT: this INTERREG project aims at improving patient safety in hospitals with the

means of innovative, situated approaches of technology-enhanced learning tools.


OUNL has been actively researching the augmented reality (AR) domains in recent years. Despite AR being in its infancy, its potential cannot be denied and it is this potential of AR that OUNL wishes to tap into especially in the pedagogic domain. WEKIT helped to tackle many of the issues that are relevant today in the AR domain. Having a solution to these issues is a huge leap for the AR academic world.

The WEKIT framework has the potential to discover new innovative methods of learning and teaching. This can usher a new era of learning methodologies. Many new learning platforms can be based on the framework. With strong theoretical grounds and a simplified AR platform design guidelines & requirements available, OUNL is at the point of exploring further activities based on the WEKIT framework and technological results. WEKIT already has a focus to be flexible in terms of task dependency which makes the solutions based on Wekit framework more attractive to the stakeholders due to its practicality in boarder scenarios. With ARLEM, WEKIT created a new AR data standard and reference implementations based on it.

OUNL currently identified the following opportunities for follow-up activities based on WEKIT results:

In ongoing research internal to OUNL, the WEKIT theoretical framework is used for current

and planned PhD studies, transferring the framework to new domains, including

Calligraphy training and basic life support



Within the SAFEPAT consortium, pilot activities are already planned to transfer the

WEKIT.One platform and tools into the domain of patient safety. We expect a trial within

the SAFEPAT consortium to take place in 2019.

The members of the WEKIT team collaborate with the other projects mentioned above to

offer technology and framework transfer into further domains

By providing all technological developments of OUNL under open source licenses, OUNL

paves the way for further uptake, with two examples already in place:

4.1. The WEKIT ECS as a start-up SME emerging from the WEKIT project will be able to use,

further develop, and exploit WEKIT results;

4.2. Former OUNL staff moving to other places continue contributing to WEKIT

components, with the SensorHub being one such prominent example that is now

further used as part of development and research activities at Frankfurt University in

Germany, which was not a prior partner of WEKIT.

Value propositions

OUNL believes in Open education. Thus, making the products freely accessible to educational institutions and students will be given priority. The Wekit products and results will be used to further research and improve the academic state of the involved domains. AR is a major technology that is used in many research projects even with in OUNL. The results of this project will assist in improving the quality of the other projects OUNL is currently involved with. They will also be used to improve the quality of educational content and delivery system.

We believe involvement in this project will help us understand the current industrials investors and their requirements which will provide us the leading edge in earning investors trust.

Rheinisch – Westfaelische Technische Hochschule Aachen (RWTH)

Partner profile

RWTH Aachen University, established in 1870, is divided into 9 faculties, including the medical faculty. Currently around 40,375 students are enrolled in over 130 academic programmes. The number of foreign students (6,395) substantiates the university´s international orientation. Every year, more than 5,800 graduates and 750 doctoral graduates leave the university. Approximately 512 professors as well as 4675 academic and 2443 non-academic colleagues work at RWTH Aachen University. The university budget amounts to 884 million Euros, of which nearly 445 million Euros are funded by third parties. Moreover, special field research, 27 graduate colleges, among them 15 founded by the German Research Foundation, 16 affiliated institutes with strong industrial alignment illustrate the university´s considerable research potential.

The Chair of Informatik 5 (Information Systems & Database Technology, http://dbis.rwth-aachen.de ) from the Faculty of Natural Sciences, Informatics, and Mathematics, is headed by Prof. Matthias Jarke. Its research topics include community information systems, data management and analysis, technology enhanced learning, serious games, mobile applications and services, and cloud computing. Informatik 5 was a core partner of the EU NoE PROLEARN in technology enhanced learning and is core partner in the EU NoE GALA in serious games. Recently, it has been involved in many EU projects: in the FP7 IP LAYERS about scaling up informal learning solutions as leader of the software architecture and integration work package, in the FP7 IP ROLE as technical leader and community facilitator, in the FP7 SA TEL-MAP, in the EU LLP projects TELLNET and METIS as well as the TEMPUS projects SAGE about integrating serious games in IT educations on the bachelor level. The Advanced Community Information Systems (ACIS) group, part of Informatik 5, is presented in detail at http://dbis.rwth-aachen.de/cms/research/ACIS/ .



RWTH leads WP7 on “Outreach, Community and Capacity Building”. In particular, RWTH leads the tasks of stakeholders outreach, community events, WEKIT portal and research dissemination. RWTH is also involved in requirements elicitation as well as in roadmap and exploitation activities.


With a track record of award-winning Web engineering, Web analytics and requirements engineering capabilities, the ACIS group at RWTH Aachen University is renowned for innovative technical solutions. With a track record of projects involving Augmented Reality in particular, WEKIT results are highly relevant for our future activities.

We see several opportunities how WEKIT results help us in better positioning us in our business activities. First, our chair closely collaborates with Fraunhofer Fit, an institute belonging to the Fraunhofer Society, the biggest organization for applied research and development services in Europe. Second, our engagement in the local Aachen startup scene, especially the DigitalHub incubator, provides various opportunities to reuse WEKIT technologies

Value propositions

As a leading European university in computer science education, our goal and ambition is to train the next generation of IT professionals who are pushing innovative solutions in industry and academia. In this respect, we are actively using software artifacts originating from European research collaboration, such as WEKIT.one, in student projects for lectures, exercises, lab courses, as well as bachelor and master theses. Augmented Reality skills are particularly interesting, as they are increasingly demanded by industry, yet they provide an attractive area of knowledge for students. We have started exploiting WEKIT requirements and ARLEM standard early on during the project, to research augmented reality training situations of the future, involving groundbreaking machine learning technologies.

Teknologian Tutkimuskeskus VTT Oy (VTT)

Partner profile

VTT Technical Research Centre of Finland Ltd is the leading research and technology company in the Nordic countries. We provide expert services for our domestic and international customers and partners, and for both private and public sectors. We use 4,000,000 hours of brainpower a year to develop new technological solutions. We develop new smart technologies, profitable solutions and innovative services. We cooperate with our customers to produce technology for business and build success and well-being for the benefit of society.

Within WEKIT, VTT will exploit the project outcomes to provide high-end AR applications for companies. A notable achievement will be the WEKIT AR-system and novel know-how regarding knowledge capture, IoT inter facing to real time AR and finally experience re-enactment.


VTT has wide network of company partners who are willing to exploit WEKIT project results in their R&D activities. Expected results from WEKIT are (1) Modular Augmented Reality system, which includes Activity and Workplace MLs (ARLEM standard), (2) Robust initialization for AR tracking, (3) knowledge capture and (4) Experience Re-enactment and it’s novel User Interfaces.



Value propositions

VTT will exploit the project result in one-to-one service work and research project with Finnish and European industry. Results will be exploit in suitable parts in already ongoing project such as: (1) ESA - Prototype A Media Helmet for MobiPV Implemented Using Hololens, (2) Finnish defence force research project: VR/AR for done mission design (3) H2020 – ROBORDER: Autonomous Swarm of Heterogeneous Robots for BORDER Surveillance, and. (4) H2020 – QU4LITY: Autonomous Quality Platform for Cognitive Zero-defect ManUfacturing Processes through DigitaL ContInuity in the ConnecTed FactorY of the Future.

Clear Communication Associates Limited - CCA (CCA)

Partner profile

CCA is a multi-disciplinary consultancy in managing information, knowledge and skill. Contexts include capacity development and training; knowledge-intensive innovation, business development and diversification; resilience-development (e.g., for clients facing challenging changes in market conditions, requiring changes in ecosystems, skill bases, cost structures, enabling technologies, processes and business models). Its associates specialise in such areas as e-skills and capacity development for innovation, entrepreneurship and IPR management. They have much relevant experience of cross-disciplinary supporting roles in large distributed research projects, taking on various roles (e.g., requirements, technology management, agile manufacturing, knowledge media, technology-enhanced learning, technology-transfer and research dissemination). CCA associates have deep knowledge of legal matters, broad competence in TEL and an extensive network. In WEKIT they have managed IPR and strengthened exploitation and community building across the project (to support IPR-creation by all partners, as part of WP8 and WP9) and where it has been allocated person-months for specific tasks (e.g., in T1.3, T1.4, T6.2, T6.5, T7.1, T7.4, T8.1, T8.4, T8.5). Its IPR network includes private- and public-sector organisations and influential investors seeking to exploit recent and prospective innovations in TEL (e.g., AR, WT, blockchain-based certification of skills, experience management, analytics, and personalisation).


Opportunities identified, which CCA consistently shares with each WEKIT partner, include licensing IPR to sector-leading organisations we work with (e.g., large publishing/training/certification companies, across the EU) and collaborating with such organisations to co-market complementary services, such as Open Access content, that address emerging needs in areas of high importance to member states.

Key personnel of CCA also participate in the new company WEKIT-ECS Ltd, which is considered to be a strategic exploitation opportunity, using AR to enrich CCA’s services and its associates’ offerings.

Another exploitation route identified by CCA is at scientific and research level, for supporting further initiatives exploring the monetisation of WEKIT’s scientific findings by using AR to enhance training, also team and individual performance and worker empowerment, in other sectors.

CCA is also exploring strategic collaboration opportunities with specialised training institutions in UK and Italy. For instance, preliminary contacts have been established with “Istituto Tecnico Superiore - FONDAZIONE MObilità SOstenibile Sardegna”, which is a Technical Institute of secondary education, recognized by the MIUR (Italian Ministry of Education for Universities and Research). This school of excellence is characterized by high technological specialization as the concrete expression of a new strategy combining education, training and work policies with the



economic and industrial policies of the country. The School acts in the technological area of sustainable mobility with particular reference to the economy of the sea in the Sardinia Region, with focus on the production and maintenance of means of transport and / or related infrastructures; infomobility management and logistic infrastructures; and other areas, e.g. "Mobility of people and goods”. Some WEKIT AR-based solutions are under consideration for inclusion in the training courses, with the purpose of keeping very high the employment rate of the trainees (which currently is 98%).

Value propositions

WEKIT has first-mover advantage, in its bringing together of expertise and solutions from several high-priority areas for Western economies, notably AR, WT and experience management. Our tests of packaged combinations of outcomes (each with its own unique selling points) will help us to identify which approaches to use in disseminating our results across member states. The project is timely, given the high profile of the associated technologies and the maturity of the foundational R&D (funded in previous Framework and Horizon 2020 projects). The value propositions will vary according to the size and type of user. For example, a consultancy company like CCA has a mix of manufacturing clients and prospects: some are large enterprises; some are medium-sized. In each case, often they say that their adoption of Industry 4.0 infrastructure and methods is being hampered by skill shortages. For the large companies, scalability is all-important. For the mid-size companies, a more interesting value proposition is Speed of ROI. This means attention to setting priorities for imparting particular Industry 4.0 skills, if Rapid Profitability / ROI are the real goals. Such users ask for two complementary forms of analytics: training-focused (as in the AR- and WT-directed analytics that WEKIT is developing); and profitability-focused (as in the enterprise-level analytics being developed by decision-support and data-science companies). We are exploring strategic partnerships with data-science companies. Similar opportunities exist in domains such as knowledge capture, packaging and skill certification. There, counterpart partnerships could be with knowledge media companies (e.g., to enable WEKIT to exploit its expertise in vicarious experience re-enactment).

Further channels are linked to the participation to WEKIT ECS and its foreseen role in commercialising the WEKIT platform (or some of its components).

Luftransport AS (LT)

Partner Profile

Lufttransport AS (LT) was founded in1955 as an independent company in aviation. The company is emerging as a leading Nordic airline and with an outlook for growth within special operations, with continuous emergency and other operational services with aircraft and helicopters as a main area for business. Lufttransport AS operates within the following main areas: air ambulance (airplanes), charter flights out of Svalbard, harbour pilot shuttle with helicopter, offshore operations (crew change), scheduled passenger flights with helicopter, search and rescue operations in Svalbard. All these operation activities do have a close coexistence with necessary maintenance on these aircraft. The company has long gained a very broad level of experience among technical, operational and administrative personnel and is well regarded and established in the market. But the late years has shown a great competition in these particular areas, and forced the company to look into new and emerging market areas, including potential disruptive technology opportunities. Over the years LT has pioneered the work with flight safety improvements. LT was the second civil operator in Europe to obtain civil aviation authorities (CAA) approval for operations with night vision goggles (NVG). From the NVG operations, and other parts of the operations, a comprehensive culture and system for training and learning has evolved both with technical and operational personnel. LT also holds CAA approvals for technical personnel training and courses, and pilot training and type



ratings. From our point of view innovation, research activities and our role in this specific consortium is to take appropriate action to test the AR/WT equipment/ technology in a live context with realistic maintenance tasks/ cases (scenarios for maintenance staff in Aeronautics), with the close collaboration with the University of Tromsø which we do have a history long back regarding e.g. human factor in aviation. We do support Master students to have their thesis done within our organization.

Relevant previous and ongoing projects and other activities are with our partner University of Tromsø and the Northern Research Institute in the projects of the Arctic Center of Unmanned Aircraft and development of research equipment platform (use of manned aircraft). The purposes are to explore and strengthen the work with unmanned and manned aircraft for training, research and operations in an arctic environment.


The use of AR/WT in our training and maintenance business will into the future make a big opportunity to stay in front of the development and implementation of the change in time regarding the way of doing training and maintenance more integrated and more readily available. By use of this technology we will be upfront in our business and activities by playing an innovation role in our part of the world, despite the technology challenges which are revealed during the research and development for usable AR/ WT equipment in a live context were actual production demands exist. The identification of areas, by the research and development of the project, has pinpointed issues to be aware of when this AR/ WT equipment/ technology are ready for implementation/ usage in the live environment for our production regarding training and maintenance, and identified were the pitfalls and possibilities are for us.

Value propositions

The possibility of practical use of the AR/WT will depend on the ease of use and the aim to not get bulky equipment attached to our training and maintenance staff. The project outcome AR/ WT equipment/ technology will be used for instructional and training tasks at our organisation to enhance these activities to an even better standard than today. In addition, this will be interesting for the generations to come, improving the way we are conducting training and maintenance. In the future this is an integrated part of the way of doing instructional, training and maintenance tasks. For maintenance tasks this equipment will help to achieve a more common and repeating way of doing tasks (enhance standardisation and safety), integrated with procedures and documentation at the same time (integrated). As of today, as an industrial training provider, we will mainly focus initially on this part and later on we plan to use this technology more integrated with our role of maintenance provider. Thereafter when the AR/ WT equipment/ technology has proven their improvement to the tasks at hand for production internally (as a competitive asset), the next step is to take the AR/ WT equipment/ technology as consulting area or directly training and maintenance production externally into other companies’ production environment.

Ebit S.r.l. (EA)

Partner profile

EBIT s.r.l. is an ESAOTE group company, 100% owned by ESAOTE S.p.A, focused on the design, sales, distribution, installation, start-up and service of software systems, hardware systems and IT- networks for the management of data and images in medical and healthcare environment Esaote is one of the world’s leading producers of medical diagnostic systems and internationally acknowledged to be the world leader in dedicated MRI. The Esaote Group is also one of the main



players in the sector of Information Technology for healthcare and in the wider history of biomedical innovation and in the relationships that have changed the world of diagnostics at an international level. Ranked among the top ten groups engaged worldwide in the field of diagnostic imaging, today Esaote is expanding its areas of expertise from diagnosis and prevention to treatment and follow-up, thus strengthening its position also in the Interventional sector.

EBIT S.r.l. offers the most complete Healthcare IT systems for the workflow management of the Radiology and Cardiology diagnostic process in the widest enterprise IT networks, implementing Structured Report, 3D/4D and Mobile technologies. In the most challenging scenarios of diagnostic imaging, Ebit S.r.l. dedicates to Radiology the newest RIS PACS healthcare IT software system: EBIT SUITESTENSA Solution is the Imaging & Information Management platform for the effective implementation of filmless and paperless hospitals.

EBIT solutions bridge RIS, PACS and applications in an innovative way, simplifying all phases of radiological workflow, all within a single DB and user interface. With the best-of-breed, entirely customizable workspaces and exceptional Structured Report functionalities, SUITESTENSA is changing thinking and practice on Reporting, while the best 3D & 4D applications offer unparalleled post-processing for large CT, MR or PET datasets.

In the Cardiology Domain, by encompassing all cardiology specialties into one single software platform, EBIT Cardiovascular Information System Solution and PACS represents the most comprehensive approach to Cardiology, Cath-Lab, Echo, ECG, EP, Cardio Surgery, Structural and Interventional Cardio. Thanks to sector-leading and tailored-to-needs products, EBIT delivers the best cardiology workflow management from patient admission to exam execution, reporting, post-processing, distribution.

Due to EBIT’s systems interoperability they work with any devices on the market, providing a unique opportunity to have a direct feedback from end-users to enhance EU products.


The constantly increasing need of digital solutions aimed at facilitating the management of hospital departments and clinical workflow optimization has led EBIT (as the former ESAOTE HealthCare IT Business Unit) to deeply invest in Healthcare IT, thus becoming a major European players in this field, in particular as provider of Radiology, Cardiology and Imaging IT solutions.

AR/WT represent new ways of approaching significant and perennial workflow problems in hospitals and can be successfully applied also to complex topics, such as medical ones. Possible examples of healthcare applications that could benefit from the WEKIT approach and outcomes are the following:

Teaching diagnostic and surgical procedures

Educating anatomists

Teaching clinical staff how to use new generations of complex medical devices

Teaching clinicians how to improve their experience with medical imaging and with the

process of clinical analysis and patient care

Patient education and empowerment & doctor-patient communication

EBIT aims to integrate technological outcomes of WEKIT into its platform and services in order to extend the scope of the services offered to healthcare specialists in the above contexts. EBIT’s customers already use IT applications and digital imaging in clinical practice, but use of AR/WT could enrich their perception and provide further information, helping the learning process in several fields.



Training young clinicians to properly scan patients with ultrasound as well as updating expert clinicians in the use of new advanced released applications can be a slow process. While the cost and accessibility of ultrasound hardware is dropping rapidly, the number of people qualified to use this equipment at an expert level is not keeping up. A major opportunity for exploitation of WEKIT is to work on utilizing augmented reality for professional updating as well as to teach sonography students how to locate and properly scan different organs and how to execute basic ultrasound diagnostic procedures.

In our WEKIT trials, a student wears the HoloLens, which projects a virtual image of the relevant organs, as well information on probe positions and image references etc.

Value Proposition

EBIT, as well ESAOTE group, aims to verify the usefulness and acceptability of combinations of its product applications and the outcome developed in WEKIT, in order to offer a new set of services in the medical teaching field. Moreover, the provided tools could be also used to enhance the communication process between health care professionals and patients, offering innovative and more effective ways of transferring knowledge and experience.

Potential end-users of the new learning challenge in the HealthCare IT are different personnel, from administrative, to clinician ward and radiologist/cardiologist professional, as well the patient itself in a phase of proper knowledge empowering.

Advanced Logistics Technology Engineering Center Spa (AL)

Partner Profile

ALTEC (Aerospace Logistics Technology Engineering Company) is a Public-Private company based on the partnership between Thales Alenia Space and ASI (Agenzia Spaziale Italiana).

Since its foundation in 2003, ALTEC has grown internationally becoming the Italian center of excellence for the provision of engineering and logistic services for the use of the International Space Station and for the support of planetary exploration missions.

ALTEC is based in Turin and has liaison offices at NASA and ESA. ALTEC services includes engineering and logistics support, training of astronauts, support to experiments in biomedicine, processing of scientific data, development and management of the ground segment of space programs and the promotion of space culture. ALTEC also hosts two Ground Control centers for the International Space Station, one connected to NASA and one to ESA. Thanks to its facilities and to variety of space activity in which is involved, ALTEC has earned the nickname of "little Italian Houston".

Today, taking into account the evolution of the international framework of the sector and the strategies of the shareholders, ALTEC will have a strengthening and expansion of the tasks in the aerospace sector, with a greater focus on the commercial environment and the innovations of the Space Economy.

With its employees, highly specialized and qualified technicians, ALTEC represents a fundamental element of the space sector and in particular a focal point of attraction for the local economy.

ALTEC TRAINING HERITAGE

MPLM/PMM GROUND SUPPORT PERSONNEL TRAINING



ALTEC training experience started in 1998 (when the Training function was still part of Alenia) with the MPLM Training Course development. The Multi-Purpose Logistics Module (MPLM) was a large pressurized container provided under barter agreement by the Italian space Agency (ASI) to NASA and used on Space Shuttle missions to transfer cargo to and from the International Space Station (ISS).

As part of the barter agreement, a dedicated MPLM Ground Training Courseware was developed and delivered to NASA Instructors and Ground Support Personnel at Kennedy Space Centre in 1998 and 1999 while a dedicated MPLM Mission Training Course was developed and delivered to NASA Instructors, Flight Controllers and one Crew Member at Johnson Space Centre in July 2000.

COLUMBUS AND ESA PAYLOADS CREW TRAINING

Since April 2001 ALTEC’s instructors were assigned as Courseware Developer and Curriculum Expert in the Columbus P/L Training project driven for ESA by Lufthansa Flight Training, in collaboration with Astrium and OHB. In particular, they were responsible of the development and delivery of training for the two ESA Payload Racks FSL and EDR. Two ALTEC instructors are currently permanently assigned to the European Astronaut Centre in Cologne as part of the Instructor Training team with the responsibility of Crew and Ground Personnel Training for the Columbus systems and ESA Payloads operations.

ATV CREW TRAINING

From 2002 up to 2015 one ALTEC instructor was assigned to the development and delivery of the ATV Crew Training in the frame of the Astrium contract with EAC, in particular responsible of the development and delivery of the Crew training relevant to the ATV Attached Phase part (including Emergency training). On top of that, the ALTEC instructor was responsible of the preparation of the On Board Training including the support to Emergency Drills from EAC, MCC-M and from the ALTEC console.

TRAINING, LOGISTICS AND OPERATIONS SUPPORT

As part of the ESA (European Space Agency) ISS utilization program, ALTEC has since 2015 the responsibility of astronaut training, logistics (ALTEC is the European Logistics Centre) and operations support services for ESA. In fact, ALTEC covers the role of Prime in the TLO contract (Training, Logistics and Operations Support) coordinating a pool of companies including Lufthansa Aviation Training, Airbus, SAS, Argotec, Vitrociset, Vega, TAS-I and more that collaborate for the provision of various services to ISS.

In particular, ALTEC participates with its instructors, certified according to the NASA & ESA regulations, to the training activities dedicated to astronauts and ground personnel carried out at the ESA - European Astronautic Centre in Cologne in Germany and to the operations of the European Columbus laboratory managed by the ESA at the Columbus Control Centre (COL-CC) located in Munich, Germany.

The company is also involved in the activities related to the implementation of Italian biomedicine experiments and related training to the astronauts responsible for carrying them out in orbit (eg PERSEO, IN SITU AND ARAMIS projects performed during the recent VITA mission by Paolo Nespoli).

EXOMARS



Under ESA's ExoMars program, the first European Mars mission, ALTEC will be responsible for the Rover Operations Control Centre (ROCC) from which the Rover will be controlled when it will land on Mars in 2020.

The ExoMars program consists of two missions: the first mission (ExoMars 2016) started in March 2016 with the launch of a landing demonstrator on Mars. For this first part of the mission, ALTEC supported the Italian scientific community by providing data on the payloads on board the demonstrator, received by Mars through the Mission Operation Centre (MOC) of ESA.

For the second mission (ExoMars 2020) ALTEC hosts, as part of the ROCC, a Martian terrain simulator (MTS) on which real tests of manoeuvres are carried out using a test model of the Rover (GTM). This terrain simulator is also equipped with a reconfigurable drilling test facility, and with a platform to statically simulate the reduced gravity that will be encountered on Mars.

The overall Italian contribution to the mission is of great importance and Thales Alenia Space Italia of Turin has the role of industrial leader for both missions, ExoMars 2016 and ExoMars 2020.

Within the ExoMars 2020 project, ALTEC is responsible for the training of ground operators who will manage the rover operations on Mars in the ROCC, including the participation of scientists who will be responsible for managing the scientific payloads used during the mission.

Taking into account the varied composition of the ExoMars 2020 team and the remote locations of many project participants, ALTEC developed a tool that provides remote access to training materials, called Learning Management System (LMS). Operators will thus be able to remotely access the planned familiarization classes and obtain online certification by filling dedicated evaluation questionnaires prepared by ALTEC instructors. After the Familiarization lessons, the team will participate in ALTEC to the lessons related to mission operations, use of console tools and simulations (both nominal and contingency) related to the various mission phases (LEOP & Cruise), Egress, Surface Operations. The ExoMars 2020 team will be certified to manage the launch operations, LEOP & Cruise before launch (July 2020) and for the Egress and Surface Operations during the Cruise Phase (from July 2020 to March 2021).

WEKIT

ALTEC also participates in an ambitious European research and innovation project supported by the Horizon 2020 program dedicated to develop and test a novel way of industrial training enabled by Smart Wearable Technology (WT) called WEKIT. WEKIT stands for Wearable Experience for Knowledge Intensive Training. In particular, 12 WEKIT partners representing academia and industry from six countries in Europe have built a ground-breaking industrial-strength learning technology platform and unique methodology to capture expert experience and share it with trainees in the process of enabling immersive, in-situ, and intuitive learning. In this way, WEKIT will bring learning content and technical documentation to life via task-sensitive Augmented Reality (AR), making industrial training more efficient, affordable and engaging.

The WEKIT prototype consists of the MS Hololens (augmented reality glasses, microphone and camera) and some wearable sensors for measuring posture, hand and arm movements and level of fatigue and attention. Furthermore, two software modules have been developed:

the “Recorder” which records the instructions prepared by the instructor for a specific

procedure to be performed, defining the various steps and providing additional explanatory

material such as images, videos, position markers, verbal instructions, etc.

the “Player” which plays the scenario created with the Recorder. Once the scenario has been

created, it is transferred to the “Player” who will thus guide the operator step by step by



means of augmented instructions. This allows to successfully perform the procedure,

avoiding mistakes, also for individuals who have not received specific training for that task.

This will also allow to drastically reduce the time spent by astronauts in training (which is now around 2 years for a 6-month ISS mission) for future exploration missions, enabling onsite training when the execution of the activity will be necessary.

Within the WEKIT Consortium ALTEC is responsible of coordinating the three industrial partners and the organization of the Industrial pilot trials dedicated to the prototype evaluation tests. The objective is to demonstrate how the learning processes may be improved in terms of effectiveness, time reduction and user perception by using the WEKIT methodology. The other two industrial partners involved in the pilot trials are:

EBIT s.r.l., an ESAOTE group company, 100% owned by Esaote S.p.A, focused on the design,

sales, distribution, installation, start-up and service of software systems, hardware systems

and IT- networks for the management of data and images in medical and healthcare

environment. Thanks to a deep knowledge of clinical workflows, in WEKIT project EBIT has

the task to identify possible use cases related to the Healthcare domain.

Lufttransport (LTT), located in Tromsø, Norway, is an independent aviation company,

emerging as a leading Nordic airline within special operations, with continuous emergency

services with aircraft and helicopters as a main area for business. Thanks to a deep

knowledge in aeronautics, in WEKIT project LTT has the task to identify possible use cases

related to the aeronautics maintenance domain.

The first set of pilot trials (Trial 1) took place at the three industrial partner’s facilities in Spring 2017 with a reduced group of participants (around 50 people each). The data and feedback from the participants were collected by means of paper questionnaires and interviews in order to get a more comprehensive feedback on the participant’s experience. Results have been analysed and utilized to improve the prototype.

The second set of pilot trials (Trial 2) started in ALTEC on July 2018 and is currently going on in EBIT and LTT with the goal of submitting to the WEKIT prototype experience up to 150 participants per industrial site. In ALTEC the test involves the use of a WEKIT prototype to carry out the planned activity related to the charging of the batteries of a Martian Rover. Candidates will have to follow the instructions displayed on the screen of the MS Hololens and perform the activity in the Martian Terrain simulator located in ALTEC. After the test, candidates will have to complete on line questionnaires (developed using the Lime Survey tool) to provide feedbacks on their experience. Similarly, in EBIT and LTT the candidates have to use the WEKIT prototype to perform Ultrasound Examinations and to replace an aeroplane wheel.

The composition of the test population has seen a significant increase of people totally unaware of the specific procedure to be performed. While for Trial 1 most of the participants were ALTEC and THALES ALENIA SPACE employee, with a specific background on space operations and students from university, for Trial 2 most of the participants were external people recruited via social platforms. This choice was done in order to demonstrate that also candidates with very limited or no specific knowledge in space activities could successfully perform the task, guided by the WEKIT tool.

ALTEC has also dedicated specific tests to the utilization of the Recorder application by internal experts, asking them to familiarize with the tool and create the procedure to be visualized with the Player by the students. This set of tests allowed to collect valuable feedbacks from the experts about the usage of the tool capabilities “in toto”.




Training is an essential component of the mission-preparation of an astronaut. In fact, for about two years and a half before the launch they are trained for all tasks (routine and emergency) that they will have to do on board. The training for the mission to the International Space Station takes place at dedicated centers that are located in the member countries of the ISS consortium (Houston for NASA, Star City for Russia, Tsukuba for Japan, Montreal for Canada and Cologne for Europe). The astronauts travel periodically from one Centre to another to receive specific training related to the specific modules or experiments that they will have to execute on the ISS.

The responsibilities of each astronaut assigned to a mission on the Station are defined by the various Space Agencies according to the background of the astronaut (specialist in some subsystems or modules, specialist in the use of the robotic arm, specialist for extravehicular activities, expert for certain experiments, etc.). The training activities need to be carefully planned and managed by the different Centre in order to optimize the training and travel time of the astronauts.

In addition to the training carried out before the mission, the astronauts are also assigned to perform On Board Training (training carried out remotely while they are on board with the assistance of ground instructors who communicate with them through voice loops). During these sessions, astronauts practice to maintain a high level of proficiency, in particular for complex or emergency procedures. Generally, these sessions are scheduled a few days before the execution of the activities that involve a high degree of risk such as docking or undocking certain vehicles (e.g. Soyuz, Progress, Cygnus, Dragon) and to always maintain the reaction to emergency procedures at the highest level (reaction in case of fire on board or depressurization). The aim is to ensure that astronauts are always able to react as quick as possible and in the most effective way, even though they may have received specific training on ground several months before the execution of the activity on board.

The astronaut training process needs to evolve taking into account the need to adapt to the different conditions of exploration missions. Currently, the training period for an astronaut is 18-24 months.

A large portion of crew training aims at instructing them on procedures regarding the maintenance of items although the chances that such procedures are implemented on-orbit are quite small. If this estimation is projected on a Mars/Moon mission of probably 2 years (i.e. including the long distance journey to/from Mars), a training period of about 6 years seems to be necessary, but at the same time not feasible.

In addition, crewmembers are constantly supported by the Ground Teams (Ground) while performing the activities on board the ISS. Therefore, Ground is always able to guide and support them. This will not be possible during a mission to Mars since the communication between Ground and Mars is affected by a delay that can range from 8 to 20 minutes, depending on how Mars and Earth are aligned in that specific moment.

The duration of the training period and the communication delays for this type of activities, highlight the necessity to make astronauts more independent and autonomous in executing their tasks and also in reacting to contingency and even emergency events. The WEKIT prototype is expected to fill these gaps by reducing the hours of training dedicated to maintenance activities and providing support to the crew when communication with Ground is not available.



Value propositions

ALTEC intention is to propose the utilization of the WEKIT tool to enhance the training process for astronaut and to support future Exploration missions on Mars or on the Moon. ALTEC will contact International Space Agencies like ASI (Italian Space Agency), ESA (European Space Agency), NASA (American Space Agency) and RSA (Russian Space Agency) to propose the use of the WEKIT tool. The possible fields of application could be both ground training (to reduce training time, necessity of qualified instructors presence and travelling expenses) and on board, to support crew activities with a “just in time” refreshment of the procedure to be performed.

As first step, ALTEC invited ESA representatives to participate to a dedicated demo of the WEKIT tool at ALTEC premises on November 14th 2018 in order to demonstrate the potentialities and benefits of the tool and trigger the Agency’s interest in considering the tool for Crew Training on ground.

ESA representatives were positively impressed by the tool and suggested to envisage a future testing of WEKIT in the frame of one analogue experience like Pangaea or Concordia.

PANGAEA is an ESA Space Analog Team Training course designed to provide geological training for astronauts. (Planetary ANalogue Geological and Astrobiological Exercise for Astronauts). PANGAEA is designed to perform technological, operational and scientific experiments, intended to improve the operational readiness and realism of future PANGAEA training events, and to help ESA preparing for future human and robotics planetary geological and geo-microbiological mission operations.

The Concordia research station in Antarctica is another extreme environment where the WEKIT technology might be tested. There are few other places on Earth that resemble the isolation and extreme climate astronauts will endure on other planets – an opportunity for ESA to test technology and learn how humans behave in close quarters. Concordia is run by the French and Italian polar organisations to collect data for subjects as diverse as glaciology, astronomy and climate science.

A further future step might consist in presenting a proposal for an experiment that implies the utilization of the WEKIT tool on board ISS. This possibility is a bit more challenging because it requires the availability of a specific “Call for experiments” opened by one of the Space Agencies to support a specific mission on board ISS. However, ALTEC is constantly in the loop for these type of calls. Should any opportunity arise, ALTEC will inform the WEKIT Consortium and prepare a proposal for the call if needed.

A totally different potential field of application of the WEKIT tool could be the utilization in the frame of the Civil Protection of Piedmont Region. "Civil protection" is the set of activities put in place to protect the integrity of life, property, settlements and the environment from damage or the danger of damage resulting from disasters.

Hence the main activities in which they are involved are risk prevention, population rescue and emergency management.

Civil Protection operates at central, regional and local level. The territorial context of our Country, subject to a great variety of risks, makes necessary the presence of human resources that ensures in every area operational capabilities, quick intervention in case of emergency and prevention of predictable disasters.

The Civil Protection of Piedmont Region is hosted at the ALTEC premises so it will be quite easy to organize a demonstration for them. The WEKIT tool could be useful to provide support to the Civil Protection volunteers during their intervention in case of natural disasters, where they are



required to rescue affected populations and intervene rapidly, applying also technical skills that maybe are not part of their background. In fact, it could provide technical support from remote experts to help volunteers in managing difficult situations and intervene in the better and most efficient way.



Annex II. Model Joint Ownership Agreement This arrangement will allow the partners that developed the result to capture the IP value to its fullest extent. Unlike the Consortium Agreement, which regulates a set of issues (including IPR and access rights) in the same manner for the whole consortium, the JOA applies to two or more Partners, that co-generated one or more results or IP assets, and refers to it or them. Therefore, it is expected/desirable that there will be a number of JOAs corresponding to the number of valuable IP/assets/results to be developed in WEKIT.

The JOA is strongly recommended for each commercially valuable IP/asset/result.

Model contract

This agreement is made between ____________ [insert name, address and business form of owner #1]

and _____________ [insert name, address and business form of owner #2] and _____________ [insert name,

address and business form of owner #3] (the “Parties”) as of ____________ [insert date agreement is to

be effective].

The Parties wish to set forth their respective rights to and obligations for the result tentatively

named ____________ [insert the name of result] (the “Result”) and more accurately described below.

Therefore, the Parties agree as follows:

1. Result

1. Insert the name and the description of the Result.

2. Definitions

1. “Access Rights”: rights to use the project’s results or background.

2. “Assignment of IPR”: transfer of rights and obligations of an IPR to another individual or legal

entity.

3. “Background”: any data, know-how or information whatever its form or nature, tangible or

intangible, including any rights such as intellectual property rights, which is:

held by participants prior to their accession to the action;

needed for carrying out the action or for exploiting the results of the action; and

identified by the participants.

4. “Deliverable”: distinct output of the project, meaningful in terms of the project's overall

objectives and constituted by a tangible product such as a report, a document, a technical diagram,

software component, etc.

5. “Project”: WEKIT “Wearable Experience for Knowledge Intensive Training” Project

6. “Description of the Action”: Annex 1 to the Grant Agreement 687669 – WEKIT - H2020-ICT-

2015/H2020-ICT-2015, which is built on the proposal “Technical Annex”.



7. “Dissemination”: public disclosure of the results by any appropriate means (other than resulting

from protecting or exploiting the results), including by scientific publications in any medium.

8. “Fair and Reasonable Conditions”: the appropriate conditions, including possible financial terms

or royalty-free conditions, taking into account the specific circumstances of the request for access,

for example the actual or potential value of the results or background to which access is requested

and/or the scope, duration or other characteristics of the exploitation envisaged.

9. “Joint Ownership”: situation where two or more legal entities share the ownership of the same

asset. In the context of Horizon 2020, joint ownership of results arises whenever (i) several

participants have jointly generated them, and (ii) it is not possible to establish the respective

contribution of each participant, or separate the results for the purpose of applying, obtaining or

maintaining their protection.

10. “Result”: any tangible or intangible output of the project, such as data, knowledge or

information, that is generated in the project, whatever its form or nature, whether or not it can be

protected, as well as any rights attached to it, including intellectual property rights.

11. “Royalty”: payment made to a right holder for the use of the intellectual property which it

owns, such as a patent, trade mark, or copyrighted work. Royalties can be freely negotiated but

usually constitute a percentage of the revenues obtained by using the owner’s right. They are the

most used remuneration method in the context of licence agreements.

12. “New Company”: New legal entity which WEKIT partners intend to set up to exploit project

outcomes.

3. Ownership of the jointly owned Result

OPTION 1 (equal shares)

1. Each Party retains exclusive property of its Background.

2. The modifications to or derivative works of the Parties’ Background shall be the sole property of

the contributing party.

3. Results developed in connection with the collaboration Project shall be jointly owned in equal

shares by Parties.

4. The ownership rights to the Result include all patent rights, copyrights, trade secrets and

trademark rights comprising, associated with or derived from the Result.

OPTION 2 (shares in proportion to the contribution to the Result)

1. Each Party retains exclusive property of its background.

2. The modifications to or derivative works of the Parties’ background shall be the sole property of


3. Results developed in connection with the collaboration project hereof shall be jointly owned by

the Parties in shares of the ownership in proportion to each joint owner’s contribution to the

result1.

1 Reference can be made, for instance, to their R&D efforts, the time spent, the relevance of the findings in the development of the Result.





5. The shares of ownership are set forth below:

Name of the Partner Share

______________________________ ________

______________________________ ________

OPTION 3 (shares in proportion to the amount in euro of each of the partners’ budget)

1. Each Party retains exclusive property of its background.

2. The modifications to or derivative works of the Parties’ background shall be the sole property of


3. Results developed in connection with the collaboration project hereof shall be jointly owned by

the Parties in shares of the ownership in proportion to the amount in euro of each of the partners’

budget in the total project’s budget.



5. The share of ownership are set forth below:

Name of the Partner Share

______________________________ ________

______________________________ ________

4. Right of use of the Result

OPTION 1 (unrestricted use, royalty-free)

1. Each Party grants to the other Party a non-exclusive, royalty-free, non-transferable right to use

the jointly owned Result where necessary to enable the other Party to dispose of the jointly owned

Result within the scope of its activity, for instance in further research activities other than those

covered by the Project.

OPTION 2 (unrestricted use, royalty-bearing)

1. Each Party grants to the other Party a non-exclusive, royalty-bearing, non-transferable right to

use the jointly owned Result where necessary to enable the other Party to dispose of the jointly

owned Result within the scope of its activity, for instance in further research activities other than

those covered by the Project.

2. The royalty will be [insert the amount or % of the Royalty].

OPTION 3 (mutual restrictive conditions, royalty-free)

1. Each Party grants to the other Party a non- exclusive, royalty-free, non-transferable right to use

the jointly owned Result as strictly necessary to [field of use]



OPTION 4 (mutual restrictive conditions, royalty- bearing)

1. Each Party grants to the other Party a non-exclusive, royalty-bearing, non- transferable right to

use the jointly owned Result as strictly necessary to [field of use]

2. The royalty will be [insert the amount or % of the Royalty].

5. Right of use of the Background

OPTION 1 (royalty-free)

1. Subject to the legitimate interests of the respective owner, each Party hereby grants on a royalty

free basis to the other Party non-exclusive and non-transferable access rights in respect of its

Background to the extent needed for use of the joint owned Result, including selling or otherwise

disposing of it within the scope of its activity.

OPTION 2 (Fair and Reasonable Conditions)

1. Subject to the legitimate interests of the respective owner, each Party hereby grants on Fair and

Reasonable Conditions to the other Party non-exclusive and non-transferable access rights in

respect of its Background to the extent needed for use of the joint owned Result, including selling

or otherwise disposing of it within the scope of its activity.

6. Right of commercialisation

OPTION 1 (written agreement and consent required)

1. A Party shall not pledge, assign, sell, license or otherwise dispose of its interest in the joint

owned Result to third parties without the other Party’s prior written agreement between the

Parties, setting out their respective rights and obligations, including but not limited to, the

distribution of costs and income.

OPTION 2 (written agreement and consent not required)

1. Each Party shall have the right to pledge, assign, license or otherwise dispose of its interest in

the joint owned Result to third parties as they may desire by giving at least [...] days advance notice

of its intention to the other Party [insert the number of days] days prior the activity concerned;

2. The total income after deducting costs as derived from the licensing or other disposition of the

joint owned Result shall be distributed to the [...%] to Party [...] and [...%] to Party [...]. According to

the type of disposition, said distribution ratio may be adjusted upon written agreement by the

Parties.

7. Dissemination and Confidentiality

1. If a Party intends to publish information and other research materials related to the

collaboration project hereof, such a Party shall, prior to publication, provide [...] days as

examination period for the other Party to verify whether the contents of such dissemination

disclosed should be kept confidential. Such other party may request in writing to extend the

examination period, due to the importance of the information disclosed.



2. Confidential Information shall not be disclosed, copied, reproduced, or otherwise made available

to any other third party without the consent of the other Parties. Each Party agrees to use its best

efforts to maintain the confidentiality and to keep data and research materials confidential until

published or until corresponding patent applications are filed.

3. Confidentiality obligation shall expire at the earlier of the date when the information is publicly

known or [...] years after the expiration or termination date of this Agreement. Each Party may

request an extension to this term when necessary to protect confidential information relating to

any Result not yet commercialised.

8. Protection and Maintenance

OPTION 1 (shared management and equal bearing)

1. The Parties shall decide, by mutual agreement, whether to file and maintain IP protection of the

results. The Parties shall equally bear all costs resulting from these acts.

2. The Parties shall agree which Party shall conduct the activities thereof in the names of and on

behalf of the Parties. The elected Party shall provide a copy of relevant documents relating to the

activities thereof for the other Parties examination.

3. If a Party declines to bear its share of the costs associated with the activities thereof, the other

Parties may conduct such activities in their own name and at their own expense. The declining

Party shall retain its rights of use, but shall lose its rights of ownership and exploitation in respect

of results.

OPTION 2 (shared management and different bearing)

1. The Parties shall decide, by mutual agreement, whether to file and maintain IP protection of the

results. The Parties shall bear all costs resulting from these acts according to the respective share

of ownership.

2. The Parties shall agree which Party shall conduct the activities thereof in the names of and on

behalf of the Parties. The elected Party shall provide a copy of relevant documents relating to the

activities thereof for the other Parties examination.

3. If a Party declines to bear its share of the costs associated with the activities thereof, the other

Parties may conduct such activities in their own name and at their own expense. The declining

Party shall retain its rights of use, but shall lose its rights of ownership and exploitation in respect

of results.

OPTION 3 (single management and own expenses)

1. Party [insert the name of the Party] hereto agrees to file and maintain IP rights applications of

the results in a timely manner and at its own expense and after consultation with the other Parties.

2. Within [insert the number of days] days of receipt of filing, Party [...] shall provide the other

Parties with copies of the IP rights applications and all documents received from or filed with the

relevant IP office in connection with the prosecution of such applications, for the other Parties

examination.

3. If Party [insert the name of the Party] elects not to file IP rights applications, it so informs the

other Party/Parties [insert the number of days] days prior to the expiration of any applicable filing

deadline, priority period or other statutory date, so that such other parties may elect to file and



prosecute IP rights applications at their own expense. The declining Party shall retain its rights of

use, but shall lose its rights of ownership and exploitation in respect of results.

OPTION 4 (single management and equal bearing)

1. Party [insert the name of the Party] hereto agrees to file and maintain IP rights applications of

the results in a timely manner and after consultation with the other Parties. The Parties shall

equally bear all costs resulting from these acts.




examination.






OPTION 5 (single management and different bearing)

1. Party [insert the name of the Party] hereto agrees to file, prosecute and maintain IP rights

applications of the results in a timely manner and after consultation with the other Parties. The

Parties shall bear all costs resulting from these acts according to the respective share of

ownership.




examination.






9. Infringement claims

OPTION 1 (joint responsibilities and equal bearing)

1. Each Party shall be responsible for monitoring and defending the joint IP. Each Party will,

however, notify the other Party promptly if it has a reasonable basis for believing that the joint IP

has been infringed by a third party or if the joint IP would infringe any intellectual property right

of a third party.

2. The Parties shall equally bear any costs in connection with the law prosecution of third parties

infringement of the joint IP. Any accorded awards will be shared in equal parts.



3. The Parties shall equally bear any costs in connection with claims that the joint IP infringes third

parties’ intellectual property rights.

OPTION 2 (joint responsibilities and different bearing)

1. Each Party shall be responsible for monitoring and defending the joint IP. Each Party will,

however, notify the other Party promptly if it has a reasonable basis for believing that the joint IP

has been infringed by a third party or if the joint IP would infringe any intellectual property right

of a third party.

2. The Parties shall bear any costs in connection with the law prosecution of third parties

infringement of the joint IP according to the respective share of ownership. Any accorded awards

will be shared in parts according to the respective share of ownership.

3. The Parties shall bear any costs in connection with claims that the joint IP infringes third parties’

intellectual property rights according to the respective share of ownership.

OPTION 3 (single responsibility and own expenses)

1. Party [insert the name of the Party] shall be responsible for monitoring and defending the joint

IP at its own expense and after consultation with the other Party. Such Party will notify the other

Parties promptly if it has a reasonable basis for believing that the joint IP has been infringed by a

third party or if the joint IP would infringe any intellectual property right of a third party

OPTION 4 (single responsibility and equal bearing)

1. Party [insert the name of the Party] shall be responsible for monitoring and defending the joint

IP, after consultation with the other Parties. Such Party will notify the other Parties promptly if it

has a reasonable basis for believing that the joint IP has been infringed by a third party or if the

joint IP would infringe any intellectual property right of a third party

2. The Parties shall equally bear any costs in connection with the law prosecution of third parties

infringement of the joint IP. Any accorded awards will be shared in equal parts.

3. The Parties shall equally bear any costs in connection with claims that the joint IP infringes third

parties’ intellectual property rights.

OPTION 5 (single responsibility and different bearing)

1. Party [insert the name of the Party] hereto agrees to file, prosecute and maintain IP rights

applications of the results in a timely manner and at its own expense and after consultation with

the other Parties.

2. The Parties shall bear any costs in connection with the law prosecution of third parties

infringement of the joint IP according to the respective share of ownership. Any accorded awards

will be shared in parts according to the respective share of ownership.

3. The Parties shall bear any costs in connection with claims that the joint IP infringes third parties’

intellectual property rights according to the respective share of ownership.

10. Assignment to the New Company

The Parties agree that, in case a New Company is established for commercializing project Results,

each of them will in good faith exercise reasonable best efforts in order to agree on terms and



conditions of the assignment of ownership of the joint owned Result, including Intellectual

Property Rights (IPR) and the obligations related to the joint owned Result - exploitation,

protection, dissemination, granting of the access rights. The assignment agreement can include the

payment of a lump sum (once-off transfer of money) or royalties to the joint owners.

11. Governing law and settlement of disputes

OPTION 1 (arbitration)

1. This agreement shall be governed by the law of ….2

2. In the event of any dispute in connection with this agreement, the Parties shall negotiate and

resolve such dispute amicably under principles of good faith and honesty. Where amicable

settlements cannot be reached, the dispute shall be referred to arbitration in accordance with the

[...] rules.

OPTION 2 (court litigation)

1. This agreement shall be governed by the law of [...].

2. In the event of any dispute in connection with this agreement, the Parties shall negotiate and

resolve such dispute amicably under principles of good faith and honesty. Where amicable

settlements cannot be reached, the courts of [...] shall have exclusive jurisdiction.

12. Decision-making.

1. Each Party shall have the right to participate in the decisions regarding the Result, including

decisions regarding exploitation, protection and enforcement of legal rights associated with the

Result3. All decisions require a majority vote except for an assignment of all rights to the Result. In

the event there are equal votes in a case where a majority decision is required, the issue shall be

resolved through the procedures set forth in the “Governing law and settlement of disputes”

provisions.

All decisions shall be made promptly and with the cooperation of all Parties, acting fairly and in

good faith. If a decision requires some time to contemplate (for example, an offer to license), the

Parties may agree to postpone a decision for a period of up to [...] days.

13. Improvements, Revisions.

OPTION 1 (equal shares)

Each Party to this agreement shall have an equal share in any revenue derived from improvements

or revisions of this Result provided that each Party shall have made a good faith attempt to consult,

contribute or otherwise make themselves available for services on such improvements, or

revisions of the Result. In the event that any Party refuses to participate in any work resulting in an

improvement or revision of the Result, revenues derived from such improvements or revisions

2 This choice can and should be independent of CA/GA.

3 In case option 3 of the clause of on “Protection, Maintenance and Defence” is selected, this provision should be modified accordingly.



shall be distributed on a pro rata basis among the contributing Parties.

OPTION 2 (different shares)

Each Party to this agreement shall share, according to the respective share of ownership, in any

revenue derived from improvements or revisions of this Result provided that each Party shall have

made a good faith attempt to consult, contribute or otherwise make themselves available for

services on such improvements, or revisions of the Result. In the event that any Party refuses to

participate in any work resulting in an improvement or revision of the Result, revenues derived

from such improvements or revisions shall be distributed on a pro rata basis among the

contributing Parties.

Signature __________________________ Dated: __________

Signature __________________________ Dated: __________

Signature __________________________ Dated: __________



Annex III. IPR Registry

# WP# Name Short description Nature of the

result (software,

model…)

Partners

directly

contributing

to the

development

Background

needed to

use this

foreground

(license and

owner)

Third

Parties’

rights

(including

license and

owner)

Priority Time

1 WP1 WEKIT

framework

The framework identifies

application scenarios and

their respective educational objectives. These scenarios,

though independent of

concrete industrial application cases (WP6),

exemplify the concrete use

of the framework.

Documentation

(infographic +

guidelines)

OUNL,

OBU, EP,

RAV, CCA

none

none

high M7,

M20,

M38

2 WP1 WEKIT

training

methodology

The pedagogical method

defined the instructional

design (addressing the project’s self-regulated and

authentic learning approach,

e.g. by using 4C-ID: the four component

instructional design model,

a structured model for complex learning). The

methodology targeted also

building a repertoire of master levels of

performance.

Documentation

(infographic +

guidelines)

OUNL,

OBU, EP,

RAV, CCA

none

none

high M7,

M20,

M38

3 WP1 Use Cases Collection of AR/WT use

cases in the three pilot areas (and beyond). This was a

source of inspiration for

others.

Web site content

(content in the bazaar repository -

'ideas')

RWTH,

OBU, RAV, OUNL, VTT,

CCA

none

none

high M7,

M21, M39

4 WP1 Requirement

s

Needs, affordances,

functional, and non-

functional requirements

Documentation +

Web site content

(content in the bazaar repository -

'requirements')

RWTH,

OBU, RAV,

OUNL, VTT, CCA

none

none

high M7 +

M6/21

/39

5 WP2 WEKIT content

models

ARLEM models (M12, M27): specification as input

to P1589 standardisation

group

Documentation example: OBU, CCA,

... (example

shows: can include any

listed T2.x

partners & other

partners who

directly contribute)

none

none

high M12, M27

6 WP2/3

/4

WEKIT.one

unified

(prototype)

WEKIT.one.unified:

integrated prototype with in

situ authoring and re-enactment, specified by the

use cases and other

requirements (WP1), implemented in WP2/3/4,

and tested in WP6.

Software +

documentation

OBU,

OUNL, VTT

+ others

none Vuforia, MS

mixed reality

toolkit, mqtt library,

MYO library

high M15,

M30

7 WP2 WEKIT software

architecture

Architecture: service-oriented architecture

definition, specification of

functional modules

Documentation (architecture

document and

infographic)

OBU, GFT, EA

none none high M12

8 WP3 WEKIT hoodie

(hardware)

selection of devices that are part of the wearable

hardware solution; wiring

Hardware prototye (limited edition, e.g.

workwear hoodie)

UiT, RAVE, OBU, OUNL

none none high M12, M27

9 WP3 WEKIT Sensor fusion

API (level 1)

The sensor fusion API comprises three main parts

a) the hardware abstraction

Software + documentation

(specification)

OUNL, UiT Each device has its

individual

See background

column.

high M12, M27




result (software,

model…)

Partners

directly

contributing

to the

development

Background

needed to

use this

foreground

(license and

owner)

Third

Parties’

rights

(including

license and

owner)

Priority Time

layer is a backbone for the

hardware development and abstracts concrete hardware

details to allow for flexible

exchange of hardware components.

b) the sensor data collection

framework allows to combine data from

heterogeneous sensor

components into common formats

c) sensor fusion

license

terms. Licenses

depend on

hardware

10 WP4 WEKIT Analytics

Method and System for Post Analysis of AR-based

Learning and Biofeedback

Data

Software + documentation

RAV, VTT none none high M30

11 WP4 Guidelines for

multidevice

delivery

Guidelines for Information Adaptation to Multi-device

Presentation (guiding

authors of content such as instructional designers,

experts recording

experiences, ...)

Documentation (guidelines)

VTT, RAV none none high M24

12 WP5 Wearable

Design

Solution

Integrating sensory

technology for wearability

and effective workflow. Wearability factors were

considered through new

materials, advanced manufacturing techniques

and design applications.

User test cycles were executed as defined in the

Design Methodology.

Hardware (limited

edition WEKIT

hardware e.g. hoodie) +

documentation

(fashion, wearability, and

ergonomics aspects,

documented in the according reports)

RAV, UiT,

OBU,

OUNL, EBIT,

ALTEC, LT

none none high M15,

M30

13 WP5 Guidelines

for human

and

workplace ergonomics

Human and workplace

ergonomics for wearable

experience capturing and

re-enactment.

Documentation

(guidelines by

scenarios,

restrictions/ limitations by

scenario: e.g. noise

level, and available choices)

RAV, VTT none none high M15,

M30

14 WP5 Design

methodologi

es for Wearability /

Ergonomics

Design Methodology for

Wearability (d5.1) and for

Ergonomics (d5.3). Defining comprehensive

human-centered

methodology including human factors, user-test

methods, practice-based

methods and emerging design tools for wearability.

Defining comprehensive methodology for

environmental factors

including ergonomics, user test methods and experience

design with consideration to

industry standard requirements.

Documentation

(guidelines: human-

centred design process model, co-

design

methodology, evaluation methods

as input to WP6,

experience design)

RAV none none high M15,

M30

15 WP5 Visualisation

Design

Solution

Visualization method and

toolkit for measuring

performance and well-being of the user.

Software (Working

visualisation

functional prototype for creating

"dashboards",

ideally a toolkit, able to configure

flexibly different

RAV, VTT,

UiT

none none high 30




result (software,

model…)

Partners

directly

contributing

to the

development

Background

needed to

use this

foreground

(license and

owner)

Third

Parties’

rights

(including

license and

owner)

Priority Time

visualisations) +

documentation (guidelines how to

use it)

16 WP5 Pathway for business

process

integration

Connector to e.g. sketchfab; Transformation

methodology how to

interface with existing business and training

processes, how to work

with (extract and convert) legacy content.

Software (2 API: content repository,

xAPI) +

documentation

OBU, LT, EA, AL

none none high M39

17 WP5

(+WP

7:

integra

te into

community

portal!

)

Content

Repository

The task developed the

ARLEM content repository

(for storing and retrieving

data of captured

experiences). The

repository stores captured experiences in a metadata

enhanced, retrievable

format, and allows to interactively reuse them.

Software +

documentation

OUNL, LT,

EA, AL

none none high M39

18 WP7 Participatory

design workshop

toolkit

Set of tools for

implementing the participatory approach in

the workshops

none none Medium M6

19 WP6 Application scenarios

(training

scenarios)

Description of the usage context, market data, story

telling how WEKIT tech

and approaches are used in practice (in the test-beds)

Documentation (written description

of scenarios or later

case studies, video recordings of

WEKIT in action)

LT, EA, AL none none high M12, M27

20 WP6 Content Develop the instruction and

content needed for all three WEKIT phases: 1) capture

the expert experience; 2)

trainee wears expert experience; 3) analysis and

post processing

Content (set of

learning experiences as

ARLEM content)

LT, EA, AL none none high M12,

M27

21 WP6 Evaluation

guidelines

and validation

results

Documentation on the

evaluations done on the

developed prototytpes in compliance with the

project's objectives.

Documentation

(including research

data)

LT, EA, AL none none medium M12/

M27

22 WP7 Contacts Users in the community

portal; maintain outreach stakeholder contact book

(taken over from survey

contacts in WP1)

Documentation

(user profiles, address book in a

google spreadsheet)

RWTH,

CCA

none none high report

ed M12/

M24/

M36

23 WP7 Impact

Analytics

Methods and tools for

generating the impact

statistics needed (e.g. twitter outreach; web

analytics of the portal; ...)

Software (scripts

for generating

analytics); historical data

RWTH none none high report

ed

M12/M24/

M36

24 WP7 Disseminatio

n Material

Corporate design and actual

promo material (+ coms

facilities)

Documentation

(promo materials:

flyer, logo,

signage/banner, poster; corporate

design;

communication mailing lists)

EP, CCA none none high report

ed

M12/

M24/M39

25 WP7 Community

Portal

The WEKIT community

portal (project news,

newsletter, project blog, forum, feedback

mechanism, event calendar,

podcasts, social media).

Software RWTH none none high report

ed

M12/M24/

M39




result (software,

model…)

Partners

directly

contributing

to the

development

Background

needed to

use this

foreground

(license and

owner)

Third

Parties’

rights

(including

license and

owner)

Priority Time

26 WP7 Event Brand

/ WEKIT Brand

Three community events as

the first steps of a regular WEKIT event ( integrated

with existing events),

maximizing WEKIT brand

brand value RWTH,

GFT, EP

none none high report

ed M12/

M24/

M39

27 WP8 Exploitation

and IPR plan

Action plan for exploitation

and IPR, at whole-project

level & at bundle level & Individual Sustainability

Plan

Documentation CCA lead, all

partners

contribute

none none high M6

28 WP8 Business

Plan

Action plan for achieving

and sustaining desired impact, including business

models in "Vehicle for

sustainability"

Documentation EP lead, all

partners contribute

none

none

high M9

29 WP8 Standards balloting, liaison work with

standards org

Documentation OBU, CCA none

none

high M33

30 WP8 Roadmap Future roadmap (with

externals)

Documentation CCA, EP,

RWTH

none

none

high M39

31 WP8 Vehicle for

sustainability

e.g. spin out of a company; Sustainable entity Open to all

the partners

none

none

high M39

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