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• Regulating Personal Cameras for Disabled People and People with Deafblindness: Implications for HCI and Accessible Computing

  Sarah L. Woodin, Arthur Theil · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

  This experience paper examines the intersection of social policy, privacy regulation, and assistive technology design, focusing on the case of personal cameras for people with deafblindness. Drawing from the EU-funded SUITCEYES project (2018-2021), the authors — a disability…

  deafblindness · wearable cameras · face recognition · privacy · data protection

• Sharing Practices for Datasets Related to Accessibility and Aging

  Rie Kamikubo, Utkarsh Dwivedi, Hernisa Kacorri · 2021 · The 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2021)

  This paper presents a systematic review of 137 accessibility datasets collected from people with disabilities and older adults over a 35-year period (1984-2020). The authors undertook an extensive two-year search process using a multilayer strategy: open searches on search…

  datasets · machine learning · data sharing · privacy · ethics

• American Sign Language Video Anonymization to Support Online Participation of Deaf and Hard of Hearing Users

  Sooyeon Lee, Abraham Glasser, Becca Dingman, Zhaoyang Xia, Dimitris Metaxas, Carol Neidle, Matt Huenerfauth · 2021 · ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility

  Deaf and Hard of Hearing (DHH) individuals who prefer to communicate in American Sign Language (ASL) face a unique privacy barrier online: because ASL is a visual language conveyed through movements of the face, head, hands, and torso, and because the face carries essential…

  deaf and hard of hearing · sign language · American Sign Language · anonymization · privacy

• Deaf Users' Preferences Among Wake-Up Approaches during Sign-Language Interaction with Personal Assistant Devices

  Vaishnavi Mande, Abraham Glasser, Becca Dingman, Matt Huenerfauth · 2021 · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21)

  This CHI 2021 Extended Abstract investigates a narrow but previously unexplored question: if future personal-assistant devices (Alexa, Google Assistant, etc.) could recognise sign language, how should Deaf users wake them up? Current wake-up mechanisms — speaking a wake-word…

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

4 results.