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• Exploring Collaboration to Center the Deaf Community in Sign Language AI

  Rie Kamikubo, Abraham Glasser, Alex X Lu, Hal Daumé III, Hernisa Kacorri, Danielle Bragg · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  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 inclusivity, the field…

  Deaf community · sign language · American Sign Language · machine learning · participatory AI

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

  Akhter Al Amin, Joseph Mendis, Raja Kushalnagar, Christian Vogler, Matt Huenerfauth · 2023 · Proceedings of the 20th International Web for All Conference (W4A '23)

  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 interviews often feature multiple…

  deaf and hard of hearing · captioning · live captioning · television accessibility · caption quality

• A Systematic Review of User Studies as a Basis for the Design of Systems for Automatic Sign Language Processing

  Soraia Prietch, J. Alfredo Sánchez, Josefina Guerrero · 2022 · ACM Transactions on Accessible Computing

  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 selecting 37 primary studies…

  sign language · automatic sign language processing · user studies · participatory design · Deaf community

• The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective

  Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudreault, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris · 2021 · ACM Transactions on Accessible Computing

  This interdisciplinary paper examines the ethical landscape of AI datasets used for sign language recognition, generation, and translation technologies. Drawing on expertise from deaf community members, sign language linguists, and AI researchers, the authors apply the FATE…

  sign language · AI datasets · deaf community · FATE framework · machine learning

• Design and Evaluation of Classifier for Identifying Sign Language Videos in Video Sharing Sites

  Caio D.D. Monteiro, Ricardo Gutierrez-Osuna, Frank M. Shipman · 2012 · Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2012)

  This paper presents the design and evaluation of a video classifier that automatically distinguishes sign language (SL) videos from non-sign-language videos on video sharing sites like YouTube. Currently, deaf and hard-of-hearing users must rely on tags, titles, or metadata to…

  sign language · deaf community · video classification · computer vision · machine learning

• Participation of High School and Undergraduate Students who are Deaf in Research on American Sign Language Animation

  Matt Huenerfauth · 2010 · SIGACCESS Accessibility and Computing, Issue 97

  This SIGACCESS newsletter article describes the educational-outreach component of a five-year NSF CAREER Award (#0746556) research project at the Linguistic and Assistive Technologies Laboratory (LATLab) at Queens College, CUNY. The scientific goal of the project is to advance…

  American Sign Language · ASL animation · deaf community · STEM education · research outreach

• Evaluating American Sign Language Generation Through the Participation of Native ASL Signers

  Matt Huenerfauth, Liming Zhao, Erdan Gu, Jan Allbeck · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '07)

  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. While previous ASL generation…

  sign language generation · American Sign Language · classifier predicates · animation evaluation · natural language generation

• Variable frame rate for low power mobile sign language communication

  Neva Cherniavsky, Anna C. Cavender, Richard E. Ladner, Eve A. Riskin · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '07)

  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 conversations over the cellular…

  American Sign Language · sign language · fingerspelling · Deaf community · video phone

• Design and Evaluation of an American Sign Language Generator

  Matt Huenerfauth, Liming Zhao, Erdan Gu, Jan Allbeck · 2007 · Proceedings of the Workshop on Embodied Language Processing (EmbodiedNLP 2007)

  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, motion, shape, or contour…

  ASL · American Sign Language · deaf accessibility · sign language · sign language animation

9 results.