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• Understanding Deaf and Hard-of-Hearing Users' Interest in Sign-Language Interaction with Personal-Assistant Devices

  Abraham Glasser, Vaishnavi Mande, Matt Huenerfauth · 2021 · Proceedings of the 18th International Web for All Conference (W4A '21)

  This mixed-methods study investigates Deaf and Hard of Hearing (DHH) users' experiences with and interest in personal-assistant devices (such as Amazon Alexa and Google Home) that could understand American Sign Language (ASL) commands. The research was motivated by the growing…

  deaf and hard of hearing · sign language · personal assistants · voice interface · smart home

• 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

• Effect of Sign-recognition Performance on the Usability of Sign-language Dictionary Search

  Saad Hassan, Oliver Alonzo, Abraham Glasser, Matt Huenerfauth · 2021 · ACM Transactions on Accessible Computing

  This paper investigates how the performance of sign-language recognition technology affects user satisfaction with ASL dictionary search systems. Unlike written languages where users can type unfamiliar words to look them up, ASL learners who encounter an unfamiliar sign cannot…

  American Sign Language · ASL · sign language recognition · dictionary search · information retrieval

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