HCI International 2013 – Models for Spatial and Embodied Interaction

Improving Motive-Based SearchUtilization of Vague Feelings and Ideas in the Process of Information Seeking

24 JULY 2013 – Las Vegas, Nevada, USA

Chair of Media Design

Faculty of Computer Science / Technische Universität DresdenThis work has been supported by the European Union and the Free State Saxony through the European Regional Development Fund.

Mandy Keck

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_ research project »VISEA - Visual Search Interfaces« _ focus: visual interfaces for the product search

Problem: vague information need has to be transformed into a specific search query (Dörk et al. 2012)

Our Objective:supporting vague feelings and ideas in the process of information seeking

Introduction

Fig. 1 travel search interface: www.opodo.com

Fig. 2 search interface for financial products: www.boerse-stuttgart.de

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(cf. Broder 2002, Jansen 2008, Marchionini 2006, White 2009)

Motive: _ cause of search, specifies some general conditions _ influenced by emotions and interests of the user

Motive-Based Search

NAVIGATIONALSEARCHING

TRANSACTIONALSEARCHING

INFORMATIONALSEARCHING

reaching a particular site performing a certain transaction acquisition of information

MOTIVE-BASED SEARCH

LOOKUP

EXPLORATORYSEARCH

known-item-search,fact-finding, verification

knowledge acquisition,discovery, comparison

vague information need (motive),aim: finding a suitable product

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Supporting Motive-Based Search (1)

Aspects:

Inspiration _ create new ideas _ broaden the scope

Investigation _ construct and organize knowledge space _ don't get lost

Evaluation _ select, exclude, prioritize _ narrow the scope, create focus

Aspects

Level

Inspiration Investigation Evaluation

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Supporting Motive-Based Search (2)

Levels (Beckers & Fuhr 2012):

Syntactic Level _ based on the contents of web pages and databases _ requirement of explicit interaction

Semantic Level _ centred on the content _ intelligent and implicit user support

Pragmatic Level _ concerned with the context of the user's interaction with the machine

_ observe and understand the context of the user

Aspects

Level

Syntactic Level

Semantic Level

Pragmatic Level

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Supporting Motive-Based Search (3)

physical devices software components sensors, etc.

discoveryaggregationprovide

ContextComponents

ContextBase

Context Layer

Web Service Layer

Service Composition

Service Discovery

Input/Output Layer

Fig. 3 Layered architecture of context services based on (Li & Zheng 2008)

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Outlook

_ Providing functions for aspects (inspiration, investigation, evaluation) and semantic & pragmatic level _ Current work: concepts for inspiration

Fig. 4 inspiration for travel search

Fig. 5 query by example

Fig. 6 inspirator for travel destination

References

Broder, A.: A taxonomy of Web search. SIGIR Forum, 36(2), 3–10., 2002

Jansen, B. J., Booth, D. L., Spink, A.: Determining the informational, navigational, and transactional intent of Web que-ries. Inf. Process. Manage. 44, 1251-1266., 2008

Marchionini, G.: Exploratory search: from finding to understanding. Communications of the ACM. New York, USA: ACM, 41-46, 2006

White, R. W., Roth, R. A.: Exploratory Search: Beyond the Query-Response Paradigm. San Rafael, California: Morgan and Claypool Publishers, 2009

Dörk, M.; Williamson, C. and Carpendale, S.: Navigating tomorrow‘s web: From searching and browsing to visual ex-ploration, ACM Trans. Web 6, 3, Article 13, 28 pages. New York, USA, 2012

Li, Y., Zheng, X.: A Personalized Service Oriented Pragmatic-Context Architecture and Supporting System. Seventh International Symposium on Instrumentation and Control Technology, 2008