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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

• "It was Mentally Painful to Try and Stop": Design Opportunities for Just-in-Time Interventions for People with Obsessive-Compulsive Disorder in the Real World

  Ru Wang, Kexin Zhang, Yuqing Wang, Keri Brown, Yuhang Zhao · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper presents the first in-depth interview study examining the diverse triggers, compulsions, and self-management strategies of people with Obsessive-Compulsive Disorder to inform the design of just-in-time intervention technologies. The researchers interviewed 10 people…

  mental health · OCD · just-in-time intervention · exposure and response prevention · cognitive behavioral therapy

• Trying to Piece It Together: Exploring Accessible Error Detection in Emerging Privacy Techniques With Blind People

  Rahaf Alharbi, Angela D Cheong, Jaylin Herskovitz, Robin N. Brewer, Sarita Schoenebeck · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates how blind people might detect errors in AI-enabled privacy techniques (obfuscation) used within visual assistance technologies (VAT). Blind people routinely use VAT apps like Seeing AI, Be My Eyes, Aira, and TapTapSee to access visual information, but…

  visual assistance technologies · privacy · obfuscation · AI error detection · assessment descriptors

• Decoding the Privacy Policies of Assistive Technologies

  Kirk Crawford, Yi Xuan Khoo, Asha Kumar, Helena Mentis, Foad Hamidi · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

  This paper systematically analyzes the privacy policies of 18 assistive technologies available in the United States, examining how these companies communicate data collection and processing practices to their users. The researchers used the PRISMA (Preferred Reporting Items for…

  privacy · assistive technology · policy analysis · data protection · informed consent

• I Don't Want to Sound Rude, but It's None of Their Business: Exploring Security and Privacy Concerns around Assistive Technology Use in Educational Settings

  Alisha Marsh, Lauren R. Milne · 2024 · ACM Transactions on Accessible Computing

  This qualitative study investigates the security and privacy concerns of students with disabilities who use assistive technology (AT) in higher education settings. The researchers conducted semi-structured interviews with 8 students who use various forms of AT (including screen…

  assistive technology · privacy · security · disability disclosure · higher education

• Invisible, Unreadable, and Inaudible Cookie Notices: An Evaluation of Cookie Notices for Users with Visual Impairments

  Janice M. Clarke, Maryam Mehrnezhad, Ehsan Toreini · 2024 · ACM Transactions on Accessible Computing

  This study investigates the accessibility of cookie notices for users with visual impairments (VI), combining automated testing of 46 top UK websites with a user study of 100 participants who use assistive technology. The researchers employed multiple testing approaches: WAVE…

  screen readers · visual impairments · privacy · web accessibility · cookie consent

• Bridging the Gap: Towards Advancing Privacy and Accessibility

  Rahaf Alharbi, Robin N. Brewer, Gesu India, Lotus Zhang, Leah Findlater, Yixin Zou, Abigale Stangl · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '23)

  This workshop proposal addresses a critical but understudied gap between the accessibility and privacy research communities. The authors argue that while all technology has privacy implications, accessibility tools carry particularly overlooked privacy risks — and conversely,…

  privacy · accessibility · intersectionality · AI ethics · blind and low vision

• "Not There Yet": Feasibility and Challenges of Mobile Sound Recognition to Support Deaf and Hard-of-Hearing People

  Jeremy Zhengqi Huang, Hriday Chhabria, Dhruv Jain · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper presents the first longitudinal field study of a mobile sound recognition system used by Deaf and hard of hearing (DHH) people in their daily lives. The researchers deployed SoundWatch, a smartwatch-based app that uses a deep learning model (Google YAMNet…

  deaf and hard of hearing · sound recognition · wearable technology · smartwatch · assistive technology

• Investigating Older Adults' Adoption and Usage of Online Conferencing Tools During COVID-19

  Hirak Ray, Ravi Kuber, Adam J. Aviv · 2022 · Proceedings of the 19th International Web for All Conference (W4A)

  This qualitative study examines how 25 older adults (aged 60-89) in the United States adapted to online conferencing tools during the COVID-19 pandemic, with a particular focus on usability challenges, privacy and security concerns, and the trade-offs made between the two. The…

  older adults · aging · technology adoption · privacy · usability

• Shared Privacy Concerns of the Visually Impaired and Sighted Bystanders with Camera-Based Assistive Technologies

  Taslima Akter, Tousif Ahmed, Apu Kapadia, Manohar Swaminathan · 2022 · ACM Transactions on Accessible Computing

  This paper investigates the privacy and ethical concerns surrounding camera-based assistive technologies (like smart glasses) from two perspectives: people with visual impairments (PVIs) as technology wearers and sighted people as bystanders who might be observed. The…

  privacy · visual impairment · camera-based assistive technology · AI ethics · algorithmic bias

• Privacy Concerns for Visual Assistance Technologies

  Abigale Stangl, Kristina Shiroma, Nathan Davis, Bo Xie, Kenneth R. Fleischmann, Leah Findlater, Danna Gurari · 2022 · ACM Transactions on Accessible Computing

  This comprehensive study examines privacy concerns of blind users when sharing images and videos with visual assistance technologies (VATs) like Aira, Be My Eyes, and Seeing AI. The research addresses a fundamental tension: blind people must share visual data to receive…

  visual impairment · privacy · visual assistance technology · artificial intelligence · remote sighted assistance

• 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

• 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