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dc.contributor.author
Le, Khanh-Duy
dc.contributor.author
Avellino, Ignacio
dc.contributor.author
Fleury, Cédric
dc.contributor.author
Fjeld, Morten
dc.contributor.author
Kunz, Andreas
dc.contributor.editor
Lamas, David
dc.contributor.editor
Loizides, Fernando
dc.contributor.editor
Nacke, Lennart
dc.contributor.editor
Petrie, Helen
dc.contributor.editor
Winckler, Marco
dc.contributor.editor
Zaphiris, Panayiotis
dc.date.accessioned
2019-11-01T08:56:34Z
dc.date.available
2019-09-03T04:39:01Z
dc.date.available
2019-09-03T05:40:29Z
dc.date.available
2019-09-03T06:49:16Z
dc.date.available
2019-11-01T08:56:34Z
dc.date.issued
2019
dc.identifier.isbn
978-3-030-29383-3
en_US
dc.identifier.isbn
978-3-030-29384-0
en_US
dc.identifier.issn
0302-9743
dc.identifier.issn
1611-3349
dc.identifier.other
10.1007/978-3-030-29384-0_18
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/361981
dc.description.abstract
In hub-satellite collaboration using video, interpreting gaze direction is critical for communication between hub coworkers sitting around a table and their remote satellite colleague. However, 2D Video distorts images and makes this interpretation inaccurate. We present GazeLens, a video conferencing system that improves hub coworkers' ability to interpret the satellite worker's gaze. A 360 camera captures the hub coworkers and a ceiling camera captures artifacts on the hub table. The system combines these two video feeds in an interface. Lens widgets strategically guide the satellite worker's attention toward specific areas of her/his screen allow hub coworkers to clearly interpret her/his gaze direction. Our evaluation shows that GazeLens (1) increases hub coworkers' overall gaze interpretation accuracy by 25:8% in comparison to a conventional video conferencing system, (2) especially for physical artifacts on the hub table, and (3) improves hub coworkers' ability to distinguish between gazes toward people and artifacts. We discuss how screen space can be leveraged to improve gaze interpretation.
en_US
dc.language.iso
en
en_US
dc.publisher
Springer International Publishing
en_US
dc.subject
Virtual Reality
en_US
dc.subject
Remote collaboration
en_US
dc.subject
Telepresence systems
en_US
dc.title
GazeLens: Guiding Attention to Improve Gaze Interpretation in Hub-Satellite Collaboration
en_US
dc.type
Conference Paper
ethz.book.title
Human-Computer Interaction – INTERACT 2019
en_US
ethz.journal.title
Lecture Notes in Computer Science
ethz.journal.volume
11747
en_US
ethz.journal.abbreviated
LNCS
ethz.pages.start
282
en_US
ethz.pages.end
303
en_US
ethz.event
17th IFIP TC 13 International Conference on Human-Computer Interaction (INTERACT 2019)
en_US
ethz.event.location
Paphos, Cyprus
en_US
ethz.event.date
September 2-6, 2019
en_US
ethz.publication.place
Cham
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02623 - Inst. f. Werkzeugmaschinen und Fertigung / Inst. Machine Tools and Manufacturing::03641 - Wegener, Konrad / Wegener, Konrad
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02623 - Inst. f. Werkzeugmaschinen und Fertigung / Inst. Machine Tools and Manufacturing::03641 - Wegener, Konrad / Wegener, Konrad
en_US
ethz.date.deposited
2019-09-03T04:39:09Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2019-09-03T06:49:25Z
ethz.rosetta.lastUpdated
2019-11-01T08:56:45Z
ethz.rosetta.versionExported
true
ethz.COinS
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