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• ADCanvas: Accessible and Conversational Audio Description Authoring for Blind and Low Vision Creators

  Franklin Mingzhe Li, Michael Xieyang Liu, Cynthia L Bennett, Shaun K. Kane · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Li and colleagues tackle a rarely examined corner of accessibility: the fact that the tools used to produce Audio Description (AD) are themselves largely inaccessible to the blind and low-vision (BLV) creators who are often its most skilled practitioners. Professional AD…

  audio description · blind and low vision · conversational agent · multimodal LLM · visual question answering

• 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

• Designing a Generative AI-Assisted Music Psychotherapy Tool for Deaf and Hard-of-Hearing Individuals

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

  Choi and colleagues designed, built, and evaluated a generative-AI music psychotherapy tool co-designed with licensed Korean music therapists for deaf and hard-of-hearing (DHH) users. The work is motivated by the observation that music psychotherapy — which uses songwriting,…

  music therapy · deaf accessibility · DHH · generative AI · conversational agent

• 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

• GuideMe: A VLM-Based System Assisting Independent Smartphone Learning for Older Adults

  Kairong Fang, Jiesi Zhang, Shi-Ting Ni, Pan Hui, Yuyang Wang · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  GuideMe tackles a problem familiar to anyone who has watched an older relative struggle to learn a new smartphone app: the combined weight of declining vision, memory, and motor function plus unfamiliar terminology makes independent learning extremely difficult, while in-person…

  older adults · aging · cognitive accessibility · vision-language model · conversational agent

• 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

• 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

7 results.