Literature Reviews

Reviewed research papers, articles, and publications relevant to digital accessibility.

• Silence is a Feature, Not a Bug: A Deaf Developer’s Autoethnography on Agency and Local AI

  Chenyang Gong (2026) — Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract is a three-page autoethnographic provocation by a Deaf computer science graduate student who uses a MED-EL cochlear implant. The author refuses the medical-model framing of deafness as deficit and instead argues that t…

  • autoethnography
  • deaf and hard of hearing
  • cochlear implant
  • automatic speech recognition
  • captioning
  • local-first software
  • privacy
  • crip technoscience
  • AI accessibility

• Decidos: Accessible, Usable and Secure Voting in Low-stakes Elections Using Identity Wallets

  Floris Jansen, Hanna Schraffenberger, Bart Jacobs (2026) — Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Jansen, Schraffenberger, and Jacobs (Radboud University) propose Decidos, a prototype web-based election platform designed for low-stakes elections — student councils, homeowners associations, small shareholder meetings, local citizen consultations —…

  • voting accessibility
  • e-voting
  • internet voting
  • identity wallet
  • verifiable credentials
  • privacy
  • security
  • civic participation
  • plain language
  • WCAG

• Navigating Neurodivergence with AI Chatbots: Benefits, Tensions, and Implications for HCI

  Deepak Giri, Erin Brady, Megh Marathe (2026) — Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 short paper presents a qualitative interview study of how neurodivergent adults use AI chatbots (primarily ChatGPT) in everyday life, and what tensions arise. The authors conducted 23 semi-structured, 50-minute Zoom interviews with part…

  • neurodivergence
  • AI chatbots
  • ADHD
  • autism
  • masking
  • working memory
  • emotional regulation
  • large language models
  • mental health
  • privacy
  • authenticity

• Are You Comfortable Sharing It?: Leveraging Image Obfuscation Techniques to Enhance Sharing Privacy for Blind and Visually Impaired Users

  Satabdi Das, Nahian Beente Firuj, Manjot Singh, Arshad Nasser, Khalad Hasan (2026) — Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper addresses a privacy gap in how blind and visually impaired (BVI) users share photos: because they cannot visually inspect what they capture, images routinely contain sensitive or inappropriate content (identifiable people, nudity,…

  • blind and low vision
  • privacy
  • image obfuscation
  • visual description services
  • user study
  • image sharing

• Surveilling Suitability: How AI Hiring Interviews Impact Job Seekers with Disabilities

  Vaishnav Kameswaran, Valentina Hong, Jazmin Clark, Yu Hou, Hal Daumé III, Katie Shilton (2026) — Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a qualitative study of how AI-driven hiring interview platforms — asynchronous video interview tools (e.g., HireVue) that use AI to score candidates on facial expressions, vocal cues, and behavioural data — are perceived a…

  • disability
  • AI hiring
  • surveillance
  • algorithmic bias
  • employment
  • AI fairness
  • privacy
  • disability disclosure
  • workplace accessibility
  • automated video interview

• "I Don't Trust it, but I Use it": Navigating Trust, Privacy, and Identity in Disabled People's Use of Generative AI

  Jazette Johnson, Aaleyah Lewis, Jennifer Mankoff, Olivia Banner (2026) — Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a qualitative focus-group study of how disabled people navigate generative AI (GenAI) tools in everyday life, with particular attention to how trust, privacy, and intersecting identities (race, gender, language, sexuality,…

  • generative AI
  • accessibility
  • trust
  • mistrust
  • privacy
  • intersectionality
  • disability identity
  • focus groups
  • qualitative research
  • accessibility tax
  • cross-disability
  • code-switching
  • race and disability
  • language and disability

• The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments

  Gesu India, Martin Grayson, Cecily Morrison, Daniela Massiceti, Simon Robinson, Jennifer Pearson, Matt Jones (2026) — Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper introduces ORBIT-India, the first teachable object recognition dataset contributed entirely by people who are blind or have low vision in India. It extends the UK/Canada-collected ORBIT dataset (Massiceti et al., 2021) to the Indian contex…

  • AI
  • accessibility
  • datasets
  • teachable object recognition
  • vision impairment
  • Global South
  • blindness and low vision
  • computer vision
  • few-shot learning
  • data feminism
  • data colonialism
  • participatory design
  • privacy
  • PII
  • India

• I, Robot? Exploring Ultra-Personalized AI-Powered AAC; an Autoethnographic Account

  Tobias M Weinberg, Ricardo E. Gonzalez Penuela, Stephanie Valencia, Thijs Roumen (2026) — Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper is a multi-month autoethnographic study by an AAC (Augmentative and Alternative Communication) user-researcher who fine-tuned a personalized large language model on his own communication data and then used it as the suggestion engine in hi…

  • AAC
  • autoethnography
  • large language models
  • personalization
  • agency
  • identity
  • privacy
  • fine-tuning
  • speech impairment
  • AI-mediated communication

• Co-designing MESA-Bot: Enhancing Accessibility, Privacy, Security, and Trust in a Mental Health Chatbot for Older Adults

  Aishwarya Umeshkumar Surani, Sanchari Das (2026) — Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Surani and Das address the gap between accessibility design and privacy-and-security engineering in mental health chatbots for older adults, a population nearly a billion strong worldwide for whom cost, stigma, wait times, and digital-literacy barrie…

  • older adults
  • mental health
  • chatbot
  • co-design
  • privacy
  • security
  • accessibility
  • trust
  • threat modeling
  • conversational agent

• AXECC: Benchmarking the Privacy and Accessibility Impact of Browser Extensions

  James Clarke, Maryam Mehrnezhad, Ehsan Toreini (2026) — ACM Transactions on Privacy and Security

  This paper presents AXECC, a novel automated framework for jointly measuring the web-tracking behaviour and accessibility impact of browser extensions at scale. The authors argue that while browser extensions are widely installed to improve the brows…

  • browser extensions
  • web tracking
  • privacy
  • accessibility testing
  • automated testing
  • WCAG
  • WAVE
  • Lighthouse
  • dark mode
  • screen readers
  • assistive technology