Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
60 results found tagged deaf accessibility.
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ArtfulSign: A Closed-Loop, Semantics-Grounded Mobile System for Learning Chinese Sign Language
ArtfulSign is a mobile iOS application that reframes Chinese Sign Language (CSL) learning as an embodied skill practiced through short closed-loop interaction cycles rather than passive video consumption. The authors argue that most existing sign lan…
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Designing a Generative AI-Assisted Music Psychotherapy Tool for Deaf and Hard-of-Hearing Individuals
Choi and colleagues designed, built, and evaluated a generative-AI music psychotherapy tool co-designed with licensed Korean music therapists for deaf and hard-of-hearing (DHH) users. The work is motivated by the observation that music psychotherapy …
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Reimagining Sign Language Technologies: Analyzing Translation Work of Chinese Deaf Online Content Creators
Tang and Piper investigate the translation practices of thirteen deaf Chinese online content creators who produce sign language videos for Kuaishou, Bilibili, Douyin, WeChat, and Xiaohongshu, reaching audiences that range from thousands to nearly a q…
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AuslanSpell: An Interactive Technology for Improving Auslan Fingerspelling Comprehension
AuslanSpell is an interactive learning tool that converts arbitrary English text into 3D motion-captured animations of Australian Sign Language (Auslan) fingerspelling, targeting hearing learners who struggle with the hardest part of sign-language le…
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Beyond Technical Metrics: Understanding the Gap Between AI Performance and Deaf User Experience in Chinese Natural Sign Language Generation
This CHI 2026 paper investigates the disconnect between technical performance metrics and actual Deaf user experience in AI-generated Chinese Natural Sign Language (CNSL). The authors argue that existing sign language generation research, dominated b…
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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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A Multi-Path Architecture for Machine Translation of English Text into American Sign Language Animation
Huenerfauth's 2004 student-research-workshop paper proposes a 'multi-path' (or 'pyramidal') architecture for English-to-American Sign Language machine translation that unifies the three classical MT paradigms — direct, transfer, and interlingua — int…
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American Sign Language natural language generation and machine translation
Matt Huenerfauth's 2005 paper describes a research programme to build an English-to-American Sign Language (ASL) machine translation (MT) system that generates animations of a 3D virtual-reality signing character. The author frames the project agains…
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American Sign Language Generation: Multimodal NLG with Multiple Linguistic Channels
This short student-research-workshop paper presents the design rationale for Huenerfauth's English-to-ASL machine translation system, framing American Sign Language generation as a form of multimodal natural language generation (NLG) with multiple pa…
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Collecting a Motion-Capture Corpus of American Sign Language for Data-Driven Generation Research
This workshop paper describes the first year of a multi-year project at CUNY to build a motion-capture corpus of American Sign Language (ASL) specifically intended to support data-driven ASL animation and machine-translation research. The authors arg…