Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
6 results found tagged Deaf community.
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Design and Evaluation of an American Sign Language Generator
Huenerfauth, Zhao, Gu, and Allbeck (2007) describe the implementation and user evaluation of a prototype system for generating animations of American Sign Language (ASL) classifier predicates — spatially complex hand movements that trace the location…
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Variable frame rate for low power mobile sign language communication
This paper from the University of Washington MobileASL team — Neva Cherniavsky, Anna Cavender, Richard Ladner, and Eve Riskin — addresses a then-emerging problem: enabling Deaf people in the United States to hold real-time American Sign Language conv…
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Evaluating American Sign Language Generation Through the Participation of Native ASL Signers
This paper addresses the challenge of generating animations of American Sign Language (ASL) sentences, focusing specifically on classifier predicates — complex spatial constructions that describe the location, movement, size, and shape of objects. Wh…
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A Systematic Review of User Studies as a Basis for the Design of Systems for Automatic Sign Language Processing
This systematic literature review examines how user studies have been conducted in the design of Automatic Sign Language Processing (ASLP) systems. The authors searched seven repositories plus Google Scholar, identifying 2,486 papers and ultimately s…
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Who is speaking: Unpacking In-text Speaker Identification Preference of Viewers who are Deaf and Hard of Hearing while Watching Live Captioned Television Program
This study systematically investigates how the number of speakers onscreen in live television programs affects Deaf and Hard of Hearing (DHH) viewers' preferences for different in-text speaker identification methods in captions. Live TV news and inte…
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Exploring Collaboration to Center the Deaf Community in Sign Language AI
This paper investigates the critical disconnect between machine learning (ML) practitioners and Deaf American Sign Language (ASL) signers in the development of sign language AI technologies. Despite sign language processing's promise for societal inc…