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Eye Movements of Deaf and Hard of Hearing Viewers of Automatic Captions

To compare methods of displaying speech-recognition confidence of automatic captions, we analyzed eye-tracking and response data from deaf or hard of hearing participants viewing videos.
Date
  • 2017
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Campus
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Date Accessioned
  • 2017-04-26T18:56:38Z
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ISSN
  • 2330-4219
["Made available in DSpace on 2017-04-26T18:56:38Z (GMT). No. of bitstreams: 0 Previous issue date: 2017"]
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Bibliographic Citation
  • Journal on Technology and Persons with Disabilities 5: 130-140.
Notes
  • 32nd Annual International Technology and Persons with Disabilities Conference Scientific/Research Proceedings, San Diego, 2017
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  • Copyright 2017 by the authors and California State University, Northridge
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