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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

• CoSignPlay: A Collaborative Approach to Learning Non-Manual Signs in ASL for Hearing Families with Deaf Children

  Xuanyu Liu, Hsin-Le Cheng, Guillaume Chastel, Margaret Chastel, Zhen Bai · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper introduces CoSignPlay, a novel collaborative learning approach for teaching non-manual signs (NMS) in American Sign Language to hearing families with deaf and hard-of-hearing (DHH) children. Over 90% of DHH children are born to hearing families, and without accessible…

  American Sign Language · non-manual signs · deaf and hard of hearing · collaborative learning · avatar

• Joint Bilingual Navigation of Informed Consent and Intake Forms in American Sign Language and Written English

  Matthew Seita, Michaela Usha, Rachel Skwersky, Poorna Kushalnagar, Raja Kushalnagar · 2025 · Proceedings of the 22nd International Web for All Conference (W4A 2025)

  This paper presents a joint bilingual informed consent and intake form that can be navigated simultaneously in American Sign Language (ASL) and written English, addressing a critical accessibility barrier for the approximately 500,000 Americans who primarily use ASL. Current…

  deaf and hard of hearing · sign language recognition · informed consent · healthcare accessibility · American Sign Language

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