Who is speaking: Unpacking In-text Speaker Identification Preference of Viewers who are Deaf and Hard of Hearing while Watching Live Captioned Television Program

20TH INTERNATIONAL WEB FOR ALL CONFERENCE, W4A 2023(2023)

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摘要
Live TV news and interviews often include multiple individuals speaking, with rapid turn-taking, which makes it difficult for viewers who are Deaf and Hard of Hearing (DHH) to follow who is speaking when reading captions. Prior research has proposed several methods of indicating who is speaking. While recent studies have observed various preferences among DHH viewers for speaker-identification methods for videos with different numbers of speakers onscreen, there has not yet been a study that has systematically explored whether there is a formal relationship between the number of people onscreen and the preferences among DHH viewers for how to indicate the speaker in captions. We conducted an empirical study followed by a semi-structured interview with 17 DHH participants to record their preferences among various speaker-identifier types for videos that vary in the number of speakers onscreen. We observed an interaction effect between DHH viewers' preference for speaker identification and the number of speakers in a video. An analysis of open-ended feedback from participants revealed several factors that influenced their preferences. Our findings guide broadcasters and captioners in selecting speaker-identification methods for captioned videos.
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关键词
Accessibility,Caption,Metric,Regression
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