panelists marc seiler,university of kaiserslautern, germany
TRANSCRIPT
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PanelistsMarc Seißler, University of Kaiserslautern, Germany
Dominik Ertl,Vienna University of Technology, AustriaDidier Puzenat, Université Antilles-Guyane, France
Karen Petersen, TU Darmstadt, GermanySylvain Martel, Ecole Polytechnique de Montreal (EPM), Canada
Bernd Radig, Technische Universitët München, Germany
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Why has the interaction between humansand computers become so complex forsome systems, while for others it remainsunchanged?
What can be done to decrease thecomplexity?
Is it important to have computers/robotsmimic human reactions?
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© ZMMI 2011-1
PANEL on Collaborative (Human & Computing) SystemsDoes Human-Machine Interaction Go Too Complex?
Marc Seissler – University of Kaiserslautern, Center for Human-Machine-Interaction
Fourth International Conference on Advances in Computer-Human InteractionsACHI 2011
February 23-28, 2011 - Gosier, Guadeloupe, France
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How presentedHeterogeneous Interaction Devices and Paradigms
What functions
Increasing functionality
Does Human-Machine Interaction Go Too Complex?
Where does complexity come from?
Complexity
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Claim
What the user
needs What companiesoffer
We still live in a feature-driven world!
User wants toslice an Apple
But why is that?
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Hypothesis
Companies (and we) are missing a understanding of howto communicate useability to the customers
Therefore, they/we try tocompete via features…
• … that are hard to understandfor the customer/user
• … that don‘t tell her anythingabout how good the productfulfills her „requirements“
5x Zoom14,1 Megapixel…
4x Zoom14,0 Megapixel…
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• How can we make Usability more tangible / quantifiable?
• How can we convince companies/developers to focus on the users‘needs?
• How to propagate user-centered design processes?
Discussion Points
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Bernd Radig Advances in Computer-Human Interaction, 2011 1
Does Human-Machine Interaction Go Too Complex
Bernd Radig, [email protected] Intelligent Autonomous Systems Group
CoTeSys – Cognition for Technical Systems Technische Universität München
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Bernd Radig Advances in Computer-Human Interaction, 2011 2
Statement ● Human machine interaction has gone too complex
because we too often restrict the communication to an unimodal channel.
Direct communica/on
Interac/on model
• Screen, Speakers • Mouse, Keyboard
Tradi&onal Human-‐maschine communica&on is sparse.
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Bernd Radig Advances in Computer-Human Interaction, 2011 3
Statement ● Mutlimodal communication (including gestures, facial
expression, haptics etc.) is the solution. Game industry is a forerunner in this respect.
Direct communica/on
• Spoken language • Gestures
Interac/on Model
Interac/on Model Context informa/on
• Movement dynamics • Facial Expressions • Intona/on • …
Human-‐human communica&on is context-‐dependent.
• Movement dynamics • Facial Expressions
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Bernd Radig Advances in Computer-Human Interaction, 2011 4
Challenges ● Cooperative development (psychology, computer
science, electrical and mechanical engineering)
● Multimodal communication channels, which improve their competence by adapting to individuals and learning from misunderstandings
=> simpler human-machine interaction.
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On the Complexity of Remote
Human-Robot Team Interaction
February 27, 2011 | Karen Petersen | Simulation, Systems Optimization and Robotics | TU Darmstadt
Simulation,
Systems Optimization
and Robotics
Research Training Group:
Cooperative, Adaptive and
Responsive Monitoring in
Mixed Mode Environments
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2
Current Human-Robot
Remote Interactions
Teleoperation interfaces
• Require extensive operator training
• High concentration needed during operation
• Extension to multiple robots difficult
• Do not account for specific strengths of
humans and robots
Complementary Capabilities of humans and robots
• Strengths of robots
o Repeatable / repetitive tasks
o Operation in structured, well-defined environments
o Fast analysis of large amounts of data
• Strengths of humans
o Reasoning
o Solving of unfamiliar problems
o Data interpretation (especially images)
February 27, 2011 | Karen Petersen | Simulation, Systems Optimization and Robotics | TU Darmstadt
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3
Future Directions
Supervisory control instead of teleoperation
• Increase number of robots supervised by a single human
• Requires higher robot autonomy
• Accounts for specific capabilities of humans and robots
Research questions
Task distribution between robots and humans
• Duties of robots and humans
• Communication between robots and humans
• Interaction initiative
Situation Overview
• What does the supervisor need to know?
• How can he / she obtain this knowledge?
Interfaces for large-scale remote interaction
February 27, 2011 | Karen Petersen | Simulation, Systems Optimization and Robotics | TU Darmstadt
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- USABILITY - THE GAP BETWEEN
ACADEMIA AND INDUSTRYDominik Ertl
Vienna University of TechnologyInstitute of Computer Technology
Wednesday, March 9, 2011
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USABILITY
• Usability is studied since decades
• Incorporating usability into requirements engineering tools [Goodwin,’87]
• Designing for usability: key principles and what designers think [Gould,’85]
• Functionality and usability [Goodwin,’87]
• Standards versus guidelines for designing user interface software [Smith,’86]
• In 2011? “Usability is solved, have to go beyond...” [Fitzpatrick et al.]
Wednesday, March 9, 2011
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SOME LEARNED, BUT OTHERS...
• Unfortunately, there is no academia-industrial complex for usability...
• Some companies learned...
•Other companies did not (see http://weblog.usability.at/)
• Transfer of results from usability research into real products not satisfying!
Wednesday, March 9, 2011
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3 HYPOTHESES
• Hypothesis 1: Hallway tests with aimed users would identify a lot of usability issues within one hour of product usage.
• Hypothesis 2: There is not enough time and money for product engineers to solve these issues due to the tight deadlines of software/hardware delivery.
• Hypothesis 3: Awareness for usability engineering is still lacking in current curriculums of most engineering studies.
Wednesday, March 9, 2011
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Does Human-Machine InteractionGo Too Complex?
Didier [email protected]
LAMIA, Universite Antilles Guyane, France
12 mars 2011
Didier Puzenat (UAG) Does Human-Machine Interaction Go Too Complex?
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Human-Human Interaction Complexity
Is human-human interaction less complexity thanhuman-machine interaction ?
→ obviously no.
So, how do we deal with of human-human interaction complexity ?→ one way is constant adaptation to the other.
Examples : a speaker (or teacher) → an audience ;a physician → his patient ;a seller → his client ;etc.
Didier Puzenat (UAG) Does Human-Machine Interaction Go Too Complex?
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Human-Human Interaction Complexity
Issue : to adapt you must evaluate the other,especially :
what he wants ;
his level of understanding of the subject and/or of the speech ;
eventually his skills regarding what we want him to do ;
his emotional state ;
etc.
⇒ To avoid useless complexityan interface should adapt to the user
⇒ an interface should evaluate the user (in real-time).
Didier Puzenat (UAG) Does Human-Machine Interaction Go Too Complex?
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About emotions
Let’s focus on emotions, the interface car use :
actions of the user on the interface ;
eventually other available inputs (image, sound) ;
eventually previous knowledge of the user ;
etc.
What to do then ?
emotion can be dangerous,example system administration in an hurry,
email while user angry, etc.
emotion can be a shortcut for cognition,emotion can be very valuable for creation, etc.
⇒ not always easy to adapt efficiently the interface...
Didier Puzenat (UAG) Does Human-Machine Interaction Go Too Complex?