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dc.contributor.author
Kurzhals, Kuno
dc.contributor.author
Göbel, Fabian
dc.contributor.author
Angerbauer, Katrin
dc.contributor.author
Sedlmair, Michael
dc.contributor.author
Raubal, Martin
dc.date.accessioned
2020-05-28T07:33:34Z
dc.date.available
2020-05-19T07:41:12Z
dc.date.available
2020-05-28T07:33:34Z
dc.date.issued
2020-04
dc.identifier.isbn
978-1-4503-6708-0
en_US
dc.identifier.other
10.1145/3313831.3376266
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/415716
dc.description.abstract
Subtitles play a crucial role in cross-lingual distribution of multimedia content and help communicate information where auditory content is not feasible (loud environments, hearing impairments, unknown languages). Established methods uti-lize text at the bottom of the screen, which may distract from the video. Alternative techniques place captions closer to re-lated content (e.g., faces) but are not applicable to arbitrary videos such as documentations. Hence, we propose to leverage live gaze as indirect input method to adapt captions to indi-vidual viewing behavior. We implemented two gaze-adaptive methods and compared them in a user study (n=54) to tradi-tional captions and audio-only videos. The results show that viewers with less experience with captions prefer our gaze-adaptive methods as they assist them in reading. Furthermore, gaze distributions resulting from our methods are closer to natural viewing behavior compared to the traditional approach. Based on these results, we provide design implications for gaze-adaptive captions
en_US
dc.language.iso
en
en_US
dc.publisher
ACM
en_US
dc.subject
eye tracking
en_US
dc.subject
gaze input
en_US
dc.subject
gaze-responsive display
en_US
dc.subject
multimedia
en_US
dc.subject
video captions
en_US
dc.subject
subtitles
en_US
dc.title
A View on the Viewer: Gaze-Adaptive Captions for Videos
en_US
dc.type
Conference Paper
ethz.book.title
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, CHI '20
en_US
ethz.pages.start
139
en_US
ethz.size
12 p.
en_US
ethz.event
CHI Conference on Human Factors in Computing Systems (CHI 2020) (cancelled)
en_US
ethz.event.location
Honolulu, HI, USA
en_US
ethz.event.date
April 25-30, 2020
en_US
ethz.notes
Conference cancelled due to Corona virus (COVID-19).
en_US
ethz.publication.place
New York, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation::03901 - Raubal, Martin / Raubal, Martin
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation::03901 - Raubal, Martin / Raubal, Martin
ethz.date.deposited
2020-05-19T07:41:22Z
ethz.source
BATCH
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-05-28T07:33:44Z
ethz.rosetta.lastUpdated
2020-05-28T07:33:44Z
ethz.rosetta.versionExported
true
ethz.COinS
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