Deaf and hard-of-hearing users’ prioritization of genres of online video content requiring accurate captions
Larwan Berke, Matthew Seita, Matt Huenerfauth · 2020 · Proceedings of the 17th International Web for All Conference (W4A)
This paper investigates which genres of online video content Deaf and Hard-of-Hearing (DHH) users consider most important to have accurately captioned. With over 400 hours of video uploaded to YouTube every minute and no U.S. legal mandate to caption all online video (especially…
deaf and hard of hearing · captioning · video accessibility · automatic speech recognition · user research