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• Design for Social Accessibility Method Cards: Engaging Users and Reflecting on Social Scenarios for Accessible Design

  Kristen Shinohara, Cynthia L. Bennett, Wanda Pratt, Jacob O. Wobbrock · 2020 · ACM Transactions on Accessible Computing (TACCESS)

  This paper introduces Design for Social Accessibility (DSA) method cards, a practical tool that helps designers incorporate social dimensions of accessibility into their work. The authors argue that most accessibility guidelines focus on functional access — ensuring technology…

  social accessibility · design methods · method cards · participatory design · deaf and hard of hearing

• Fairness Issues in AI Systems that Augment Sensory Abilities

  Leah Findlater, Steven Goodman, Yuhang Zhao, Shiri Azenkot, Margot Hanley · 2020 · SIGACCESS Accessibility and Computing

  This paper examines the unique fairness challenges that arise when AI systems are used to augment sensory abilities for people with disabilities — a context distinct from other AI applications because these systems provide information that is already available to non-disabled…

  AI fairness · sensory augmentation · visual impairment · deaf and hard of hearing · privacy

• Artificial Intelligence Fairness in the Context of Accessibility Research on Intelligent Systems for People Who Are Deaf or Hard of Hearing

  Sushant Kafle, Abraham Glasser, Sedeeq Al-khazraji, Larwan Berke, Matthew Seita, Matt Huenerfauth · 2020 · SIGACCESS Accessibility and Computing

  This paper from RIT's Center for Accessibility and Inclusion Research discusses AI fairness issues specifically through the lens of the authors' extensive research on intelligent systems for people who are Deaf or Hard of Hearing (DHH). The authors identify five interconnected…

  AI fairness · deaf and hard of hearing · automatic speech recognition · captioning · evaluation metrics

• Deaf and hard-of-hearing users’ prioritization of genres of online video content requiring accurate captions

  Larwan Berke, Matthew Seita, Matt Huenerfauth · 2020 · Proceedings of the 17th International Web for All Conference (W4A)

  This paper investigates which genres of online video content Deaf and Hard-of-Hearing (DHH) users consider most important to have accurately captioned. With over 400 hours of video uploaded to YouTube every minute and no U.S. legal mandate to caption all online video (especially…

  deaf and hard of hearing · captioning · video accessibility · automatic speech recognition · user research

• Reading Experiences and Interest in Reading-Assistance Tools Among Deaf and Hard-of-Hearing Computing Professionals

  Oliver Alonzo, Lisa Elliot, Becca Dingman, Matt Huenerfauth · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2020)

  This study investigates whether Deaf and Hard-of-Hearing (DHH) computing professionals are interested in Automatic Text Simplification (ATS) tools to assist with reading in their professional work. ATS software rewrites text to improve readability using lexical simplification…

  deaf and hard of hearing · automatic text simplification · reading accessibility · natural language processing · assistive technology

• Access Differential and Inequitable Access: Inaccessibility for Doctoral Students in Computing

  Kristen Shinohara, Michael McQuaid, Nayeri Jacobo · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2020)

  This paper investigates why the pipeline of students with disabilities pursuing doctoral degrees in computing remains so thin, despite increased support at the undergraduate level. In 2018, the NSF reported that only about 3% of math and computer science PhD recipients…

  education accessibility · disability rights · deaf and hard of hearing · blindness and low vision · digital accessibility

• 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

• Breaking Boundaries with Live Transcribe: Expanding Use Cases Beyond Standard Captioning Scenarios

  Fernando Loizides, Sara Basson, Dimitri Kanevsky, Olga Prilepova, Sagar Savla, Susanna Zaraysky · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This short paper catalogs non-traditional, serendipitous uses of Google's Live Transcribe, a free Android application that provides real-time speech-to-text transcription in over 80 languages. The authors — a mix of Google developers, researchers, and DHH users (co-creator…

  automatic speech recognition · deaf and hard of hearing · captioning · speech to text · COVID-19

• 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

• A Portable Hong Kong Sign Language Translation Platform with Deep Learning and Jetson Nano

  Zhenxing Zhou, Yisiang Neo, King-Shan Lui, Vincent W.L. Tam, Edmund Y. Lam, Ngai Wong · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This demonstration paper presents a portable platform for translating Hong Kong Sign Language (HKSL) into spoken language using deep learning and edge computing hardware. The system addresses a significant communication gap: Hong Kong has over 155,000 deaf or hard of hearing…

  sign language recognition · deep learning · edge computing · mobile accessibility · deaf and hard of hearing

• Automated Class Discovery and One-Shot Interactions for Acoustic Activity Recognition

  Jason Wu, Chris Harrison, Jeffrey P. Bigham, Gierad Laput · 2020 · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20)

  This paper presents Listen Learner, an end-to-end system for acoustic activity recognition that automatically discovers and learns to classify environmental sounds with minimal user effort. Traditional approaches to sound recognition face a tradeoff: custom models trained in a…

  acoustic activity recognition · smart home · machine learning · Internet of Things · context awareness

• Deaf Individuals' Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App

  Matthew Seita, Matt Huenerfauth · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20)

  This CHI 2020 Late-Breaking Work paper investigates what behaviors hearing speakers should ideally exhibit when holding in-person conversations with Deaf or deaf people using an Automatic Speech Recognition (ASR) captioning app on a mobile device. The authors position the study…

  automatic speech recognition · deaf and hard of hearing · captioning · captions · speaking behavior

• 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

• Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy

  Oliver Alonzo, Matthew Seita, Abraham Glasser, Matt Huenerfauth · 2020 · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20)

  This CHI 2020 paper is the first empirical study of lexical Automatic Text Simplification (ATS) with Deaf and Hard-of-Hearing (DHH) adult readers, and introduces user autonomy as a central design variable in accessibility ATS tools. Prior ATS research with DHH users had looked…

  automatic text simplification · deaf and hard of hearing · lexical simplification · user autonomy · reading accessibility

• Empirical Investigation of Users' Preferred Timing Parameters for American Sign Language Animations

  Sedeeq Al-khazraji, Becca Dingman, Matt Huenerfauth · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20)

  This CHI 2020 Late-Breaking Work (7 pages) investigates a narrow but consequential HCI question: what timing values should be used when generating American Sign Language (ASL) animations from a script, so that Deaf viewers find them comfortable to watch? ASL is a primary…

  american sign language · sign language animation · signing avatar · deaf and hard of hearing · web accessibility

• 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

16 results.