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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • 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 browsing experience, including by…

    browser extensions · web tracking · privacy · accessibility testing · automated testing

  • 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 barriers limit access to…

    older adults · mental health · chatbot · co-design · privacy

  • 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 his everyday speech-generating…

    AAC · autoethnography · large language models · personalization · agency

  • 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 context — home of the world's…

    AI · accessibility · datasets · teachable object recognition · vision impairment

  • "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, disability) shape their use.…

    generative AI · accessibility · trust · mistrust · privacy

  • 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 and experienced by job seekers…

    disability · AI hiring · surveillance · algorithmic bias · employment

  • 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, documents with credentials,…

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

  • 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 participants recruited via…

    neurodivergence · AI chatbots · ADHD · autism · masking

  • 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 — that combines a digital…

    voting accessibility · e-voting · internet voting · identity wallet · verifiable credentials

  • 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 the ability to remove the…

    autoethnography · deaf and hard of hearing · cochlear implant · automatic speech recognition · captioning

10 results.