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• Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision People

  Jazmin Collins, Sharon Y Lin, Tianqi Liu, Andrea Stevenson Won, Shiri Azenkot · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Collins and colleagues present the first empirical user study of an AI-powered 'sighted guide' for blind and low-vision (BLV) users in social virtual reality. Social VR platforms like VRChat (40,000 concurrent players) are largely inaccessible: they require interpreting avatars,…

  virtual reality · social VR · blind and low vision · AI guide · large language model

• Not Seeing the Whole Picture: Challenges and Opportunities in Using AI for Co-Making Physical, DIY-AT for People with Visual Impairments

  Ben Kosa, Hsuanling Lee, Jasmine Li, Sanbrita Mondal, Yuhang Zhao, Liang He · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper explores whether an LLM-based conversational agent can act as a co-making partner — not just a visual aid — when people with visual impairments (PVI) build their own physical assistive technology. The authors extended their prior A11yBits tangible toolkit…

  blindness · low vision · DIY assistive technology · tangible interaction · Generative AI

• Deaf and Hard of Hearing Access to Intelligent Personal Assistants: Comparison of Voice-Based Options with an LLM-Powered Touch Interface

  Paige S DeVries, Michaela Okosi, Ming Li, Nora Dunphy, Gidey Gezae, Dante Conway, Abraham Glasser, Raja Kushalnagar, Christian Vogler · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This mixed-methods study compares three input methods for Deaf and Hard of Hearing (DHH) people who use their voice to interact with an Amazon Echo Show: (1) natural deaf-accented speech via Alexa's built-in ASR, (2) Wizard-of-Oz 'facilitated English' where a trained human…

  deaf and hard of hearing · voice assistant · intelligent personal assistant · automatic speech recognition · deaf-accented speech

• Lost in Instructions: Study of Blind Users' Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Products

  Monalika Padma Reddy, Aruna Balasubramanian, Jiawei Zhou, Xiaojun Bi, IV Ramakrishnan, Vikas Ashok · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Blind users increasingly reach for AI tools like Be My AI (Be My Eyes' GPT-4-powered assistant) and ChatGPT to interpret the printed and PDF product manuals that accompany consumer goods - flat-pack furniture, alarm clocks, timers, ring lights, smart thermostats. Prior…

  blind and low vision · generative AI · large language model · assistive technology · document accessibility

• From Daily Song to Daily Self: Supporting Emotional Growth of Deaf and Hard-of-Hearing Individuals through Generative AI Songwriting

  Youjin Choi, JinYoung Yoo, JaeYoung Moon, Yoonjae Kim, Eun Young Lee, Jennifer G Kim, Jin-Hyuk Hong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper introduces SoulNote, a generative-AI songwriting system designed to support sustained emotional growth for Deaf and Hard-of-Hearing (DHH) individuals through music-based journaling. The authors argue that prior music-GenAI accessibility work has focused on…

  Generative AI · Deaf and Hard of Hearing · songwriting · mental health · music accessibility

• AI That Moves With You: A Review of Interactive Technologies Powered by Large Foundation Models for Mobility Impairment

  Duosi Dai, Yuchong Zhang, Yong Ma, Danica Kragic · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper is a scoping review (PRISMA-ScR) of how large foundation models - LLMs, large vision models, and vision-language models - are being woven into interactive assistive technologies for people with mobility impairments, covering publications from January 2020 to May 2025.…

  foundation model · large language model · vision-language model · literature review · scoping review

• Bridging Visual Asymmetry: Exploring AI-Mediated Communication Support for Parents with Visual Impairments and Their Sighted Children in Outdoor Informal Learning

  Yutong Jiang, Zixuan Zhang, Jiaying Xu, Qingyun Zheng, Qian Guo, Qinyang Wang, Qi Wang, Guanhong Liu · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates how AI-mediated communication can support parents with visual impairments (PVI) in engaging their sighted children during outdoor informal learning - settings like parks, insect houses, and museums where unplanned, visually-driven discovery is…

  parents with visual impairments · mixed-ability collaboration · family informal learning · large language model · conversational guidance

• Task Mode: Dynamic Filtering for Task-Specific Web Navigation using LLMs

  Ananya Gubbi Mohanbabu, Yotam Sechayk, Amy Pavel · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper presents Task Mode, a Chrome browser extension that dynamically filters web content based on user-specified goals using large language models (specifically GPT-4o) to identify and prioritize task-relevant elements while suppressing distractions. The system addresses a…

  web navigation · screen reader · large language model · content filtering · task-based browsing

• From Information Seeking to Empowerment: Using Large Language Model Chatbot in Supporting Wheelchair Life in Low Resource Settings

  Wen Mo, Aneesha Singh, Catherine Holloway · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper explores the deployment of Wheelpedia, a WhatsApp chatbot powered by GPT-4, as a design probe to support wheelchair users and professionals in Nigeria and Kenya over a two-month period. The WHO estimates that approximately 80 million people globally require a…

  wheelchair · assistive technology · chatbot · large language model · low and middle-income countries

• ChitChatGuide: Conversational Interaction Using Large Language Models for Assisting People with Visual Impairments to Explore a Shopping Mall

  Yuka Kaniwa, Masaki Kuribayashi, Seita Kayukawa, Daisuke Sato, Hironobu Takagi, Chieko Asakawa, Shigeo Morishima · 2024 · Proceedings of the ACM on Human-Computer Interaction (MobileHCI)

  ChitChatGuide is a smartphone-based indoor navigation system that wraps a GPT-4-powered conversational interface around an existing BLE-beacon localisation stack (HULOP) to support something most blind-navigation research overlooks: casual, purpose-less exploration — the blind…

  blindness and low vision · large language model · indoor navigation · wayfinding · conversational agent

10 results.