Abstract
We investigate caption information and communication preferences by deaf and hard-of-hearing users of captions or subtitles, which are the text representation of language, whether spoken or written, in an open-source teleconferencing platform: WebRTC. We find that users prefer captions that are displayed next to the speaker’s head and a texting setting that allows real-time text communication in a letter-by-letter format for most teleconference settings.
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Acknowledgements
This work has been generously supported by an NSF REU Site Grant (#1757836) awarded to Dr. Raja Kushalnagar, PI, and Dr. Christian Vogler, Co-PI. We would like to thank all of our mentors, Dr. Raja Kushalnagar, Dr. Christian Vogler, Mr. Norman Williams, and Katja Jacobs from Gallaudet University who helped and invested their time supporting our research and we would like to thank REU AICT for the opportunity to do this research.
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Olson, M., Sit, I., Williams, N., Vogler, C., Kushalnagar, R. (2022). Caption User Interface Accessibility in WebRTC. In: Miesenberger, K., Kouroupetroglou, G., Mavrou, K., Manduchi, R., Covarrubias Rodriguez, M., Penáz, P. (eds) Computers Helping People with Special Needs. ICCHP-AAATE 2022. Lecture Notes in Computer Science, vol 13341. Springer, Cham. https://doi.org/10.1007/978-3-031-08648-9_63
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DOI: https://doi.org/10.1007/978-3-031-08648-9_63
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