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pro vyhledávání: '"Truong, Khai N."'
d/Deaf and hearing song-signers become prevalent on video-sharing platforms, but translating songs into sign language remains cumbersome and inaccessible. Our formative study revealed the challenges song-signers face, including semantic, syntactic, e
Externí odkaz:
http://arxiv.org/abs/2409.09760
Previous menstrual health literature highlights a variety of signals not included in existing menstrual trackers because they are either difficult to gather or are not typically associated with menstrual health. Since it has become increasingly conve
Externí odkaz:
http://arxiv.org/abs/2409.03853
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue CSCW1, April 2022, Article No:. 75, pp 1-26
Deaf and Hard-of-Hearing (DHH) audiences have long complained about caption qualities for many online videos created by individual content creators on video-sharing platforms (e.g., YouTube). However, there lack explorations of practices, challenges,
Externí odkaz:
http://arxiv.org/abs/2201.11226
Despite the potential benefits of assistive technologies (ATs) for people with various disabilities, only around 7% of Chinese with disabilities have had an opportunity to use ATs. Even for those who have used ATs, the abandonment rate was high. Alth
Externí odkaz:
http://arxiv.org/abs/2101.09348
Autor:
Grewal, Karan, Truong, Khai N.
In this study, we aim to identify moments of rudeness between two individuals. In particular, we segment all occurrences of rudeness in conversations into three broad, distinct categories and try to identify each. We show how machine learning algorit
Externí odkaz:
http://arxiv.org/abs/1712.09929
Akademický článek
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Publikováno v:
In International Journal of Medical Informatics August 2011 80(8):579-585
Autor:
Yatani, Koji, Truong, Khai N.
Publikováno v:
In Pervasive and Mobile Computing 2009 5(5):496-508
Akademický článek
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