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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • 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

  • Deaf Individuals' Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App

    Matthew Seita, Matt Huenerfauth · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20)

    This CHI 2020 Late-Breaking Work paper investigates what behaviors hearing speakers should ideally exhibit when holding in-person conversations with Deaf or deaf people using an Automatic Speech Recognition (ASR) captioning app on a mobile device. The authors position the study…

    automatic speech recognition · deaf and hard of hearing · captioning · captions · speaking behavior

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