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• Exploring Collection of Sign Language Datasets: Privacy, Participation, and Model Performance

  Danielle Bragg, Oscar Koller, Naomi Caselli, William Thies · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2020)

  This paper tackles a fundamental tension in building machine learning systems for marginalized communities: the need for large training datasets versus the privacy risks of collecting data from small, identifiable populations. The authors focus on sign language video collection,…

  sign language · privacy · machine learning · data collection · Deaf culture

• Teaching ASL Signs using Signing Avatars and Immersive Learning in Virtual Reality

  Lorna C. Quandt, Jason Lamberton, Athena S. Willis, Jianye Wang, Kaitlyn Weeks, Emily Kubicek, Melissa Malzkuhn · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2020)

  This demonstration paper presents SAIL (Signing Avatars & Immersive Learning), the first ASL instructional system built for immersive virtual reality. Developed at Gallaudet University by a majority-Deaf team, SAIL uses a signing avatar — a computer-animated virtual human…

  sign language · American Sign Language · virtual reality · signing avatars · motion capture

• Teleconference Accessibility and Guidelines for Deaf and Hard of Hearing Users

  Raja S. Kushalnagar, Christian Vogler · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2020)

  This experience report from two Gallaudet University researchers examines the accessibility challenges that deaf and hard of hearing (DHH) users face in teleconference environments, drawing on nearly a decade of first-hand participation across platforms including Zoom, Microsoft…

  deaf · hard of hearing · teleconferencing · remote participation · sign language

• Student and Teacher Perspectives of Learning ASL in an Online Setting

  Garreth W. Tigwell, Roshan L Peiris, Stacey Watson, Gerald M. Garavuso, Heather Miller · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2020)

  This experience report examines the challenges and opportunities of teaching and learning American Sign Language (ASL) online during the COVID-19 pandemic, from the perspectives of both students and a Deaf instructor at Rochester Institute of Technology (RIT), home of the…

  deaf and hard of hearing · sign language · education accessibility · videoconferencing · remote learning

• Chat in the Hat: A Portable Interpreter for Sign Language Users

  Larwan Berke, William Thies, Danielle Bragg · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper addresses a fundamental limitation of Video Remote Interpreting (VRI) for Deaf and Hard-of-Hearing (DHH) sign language users: existing smartphone-based VRI requires the DHH person to either hold the phone with one hand (reducing signing to one-handed and causing…

  deaf and hard of hearing · sign language · video remote interpreting · augmented reality · workplace accessibility

• Accessibility for Deaf and Hard of Hearing Users: Sign Language Conversational User Interfaces

  Abraham Glasser, Vaishnavi Mande, Matt Huenerfauth · 2020 · Proceedings of the 2nd Conference on Conversational User Interfaces (CUI '20)

  This short CUI 2020 position paper (3 pages, presented at the CUI@CHI workshop) lays out the research agenda for making voice-based conversational user interfaces (CUIs) — Alexa, Google Assistant, and similar personal assistant devices — accessible to Deaf and Hard-of-Hearing…

  deaf and hard of hearing · sign language · conversational user interfaces · personal assistants · american sign language

• Sign Language Interfaces: Discussing the Field's Biggest Challenges

  Danielle Bragg, Meredith Ringel Morris, Christian Vogler, Raja Kushalnagar, Matt Huenerfauth, Hernisa Kacorri · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20)

  This CHI 2020 Special Interest Group (SIG) meeting paper (5 pages) is an organising document rather than a conventional research paper. It convenes HCI and accessibility researchers working on sign-language interfaces around the five calls-to-action laid out in Bragg et al.’s…

  sign language · deaf and hard of hearing · deaf culture · american sign language · research methodology

7 results.