dc.citation.conferencePlace |
KO |
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dc.citation.conferencePlace |
Seoul |
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dc.citation.endPage |
1456 |
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dc.citation.startPage |
1451 |
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dc.citation.title |
33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 |
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dc.contributor.author |
Song, Sunghyun |
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dc.contributor.author |
Hong, Jeong-ki |
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dc.contributor.author |
Oakley, Ian |
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dc.contributor.author |
Cho, Jun-dong |
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dc.contributor.author |
Bianchi, Andrea |
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dc.date.accessioned |
2023-12-19T22:38:07Z |
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dc.date.available |
2023-12-19T22:38:07Z |
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dc.date.created |
2016-02-02 |
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dc.date.issued |
2015-04-18 |
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dc.description.abstract |
Videos are becoming a commonplace way for students to view instructional material. Although current technology allows customization of default playback speeds to cater to individual students'-desired pace, we highlight a need for more dynamic or reactive control systems capable of varying playback in response to viewer needs or activities (e.g. slowing down during note-taking). This article instantiates this idea by describing a system that tracks a user's head position in order to infer and respond to their activities whilst watching an educational video. We describe the design and implementation of the system and a user study that highlights usage patterns and shows automatic tracking and playback speed adjustment can effectively lower users'-workload. |
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dc.identifier.bibliographicCitation |
33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015, pp.1451 - 1456 |
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dc.identifier.doi |
10.1145/2702613.2732711 |
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dc.identifier.scopusid |
2-s2.0-84954226124 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/34378 |
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dc.identifier.url |
http://dl.acm.org/citation.cfm?doid=2702613.2732711 |
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dc.language |
영어 |
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dc.publisher |
33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015 |
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dc.title |
Automatically adjusting the speed of e-learning videos |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2015-04-18 |
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