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Methods for Evaluation of Imperfect Captioning Tools by Deaf or Hard-of-Hearing Users at ...

Talkat CHI 2018 · 2018-04-21..04-26· [accessibility]
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107 deaf and hard-of-hearing participants watch 12 videos with captions at 5%, 15%, 50% error rates and complete probes: yes/no error detection, Likert usefulness/accuracy scales, numeric accuracy estimates, and multiple-choice comprehension quizzes; reading skill is measured with WRAT. Multiple-choice comprehension discriminates caption quality best for low-literacy participants, while Likert scales show literacy bias (stronger readers give harsher ratings) and often fail to distinguish 5% vs 15% errors for weaker readers. Report participant literacy and choose probes by literacy level.

AI-written summary · about

  1. 0:00Introduction to research
  2. 1:09Challenges with interpreters
  3. 2:11ASR errors and usefulness
  4. 3:15Prior evaluation methods
  5. 4:39Research questions and probes
  6. 6:23Study methodology details
  7. 7:38Caption quality levels
  8. 9:03Interpreting results methodology
  9. 10:29Discriminative ability findings
  10. 12:15Literacy bias in probes
  11. 13:41Recommendations and limitations
  12. 14:42Future research directions
  13. 15:26Closing and acknowledgments
  14. 15:48Q&A session
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