A View on the Viewer: Gaze-Adaptive Captions for Videos
Autor: | Katrin Angerbauer, Kuno Kurzhals, Martin Raubal, Michael Sedlmair, Fabian Göbel |
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Rok vydání: | 2020 |
Předmět: |
InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.
HCI) Computer science media_common.quotation_subject 05 social sciences ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Gaze Leverage (negotiation) Human–computer interaction Reading (process) 0202 electrical engineering electronic engineering information engineering Eye tracking Natural (music) 0501 psychology and cognitive sciences Input method 050107 human factors media_common |
Zdroj: | CHI |
DOI: | 10.1145/3313831.3376266 |
Popis: | 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 utilize text at the bottom of the screen, which may distract from the video. Alternative techniques place captions closer to related 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 individual viewing behavior. We implemented two gaze-adaptive methods and compared them in a user study (n=54) to traditional 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. |
Databáze: | OpenAIRE |
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