Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
64 results found tagged captioning.
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Deaf and Hard-of-hearing Users Evaluating Designs for Highlighting Key Words in Educational Lecture Videos
This empirical study investigates design preferences for keyword highlighting in video captions among Deaf and Hard of Hearing (DHH) users. While style guides like the APA Publication Manual and Chicago Manual of Style provide recommendations for hig…
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Tracked Speech-To-Text Display: Enhancing Accessibility and Readability of Real-Time Speech-To-Text
This research addresses a subtle but significant barrier facing deaf and hard of hearing (DHH) students in educational settings: visual dispersion. While hearing students can simultaneously watch lecture visuals (slides, demonstrations, whiteboard) a…
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The Effects of Automatic Speech Recognition Quality on Human Transcription Latency
This paper investigates a practical question for accessibility: when does providing automatic speech recognition (ASR) output help human captionists work faster, and when does it slow them down? Converting speech to text is fundamental for making aud…
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Improving Real-Time Captioning Experiences for Deaf and Hard of Hearing Students
This paper takes a holistic, qualitative approach to understanding deaf and hard of hearing (DHH) university students' experiences with real-time captioning in mainstream classrooms, examining both human-based captioning (CART — Communication Access …
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Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings
This paper investigates whether and how to display word-level confidence information from Automatic Speech Recognition (ASR) systems in real-time captions for Deaf and Hard-of-Hearing (DHH) users during one-on-one meetings with hearing people. ASR en…
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Evaluating the Usability of Automatically Generated Captions for People who are Deaf or Hard of Hearing
This paper addresses a fundamental problem in automatic captioning for Deaf and Hard of Hearing (DHH) users: the standard metric used to evaluate automatic speech recognition (ASR) systems — Word Error Rate (WER) — poorly predicts how usable the resu…
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Behavioral Changes in Speakers who are Automatically Captioned in Meetings with Deaf or Hard-of-Hearing Peers
This study from Rochester Institute of Technology investigates a largely unexplored question: how does using an ASR-based captioning tool in meetings with deaf or hard of hearing (DHH) colleagues change the speaking behavior of hearing participants? …
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Accessibility for the HTML5 <video> element
This paper documents early efforts to standardize how subtitles, captions, and other accessibility data should be associated with the then-new HTML5 <video> element. Written in 2009 when Firefox, Opera, and Safari were just beginning to implement <vi…
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Towards collaborative annotation for video accessibility
This paper presents the ACAV (Collaborative Annotation for Video Accessibility) project, a French research initiative involving Dailymotion, the University of Lyon (LIRIS), and EURECOM, aimed at making web video accessible to blind and deaf users thr…
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Web Educational Services for All: The APEINTA Project
This paper presents APEINTA, a Spanish educational project from Carlos III University of Madrid and the Spanish Centre of Captioning and Audio Description (CESyA), aimed at providing inclusive education through three cloud-based web services. Started…