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• Reimagining Sign Language Technologies: Analyzing Translation Work of Chinese Deaf Online Content Creators

  Xinru Tang, Anne Marie Piper · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  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 quarter million followers. The…

  sign language · deaf accessibility · sign language translation · content creators · translanguaging

• SignStreamNet: Streaming Sign Language Video-to-Text Translation for Accessibility

  Warfa Ahmed · 2025 · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025)

  This paper introduces SignStreamNet, a hybrid neural network architecture designed to translate sign language video into written text in near real-time. The system addresses a fundamental accessibility barrier: over 70 million Deaf and Hard-of-Hearing (DHH) people worldwide rely…

  sign language translation · deaf and hard of hearing · real-time translation · deep learning · computer vision

• 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

4 results.