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• ASL Educators' Perspectives on AI for Enhancing Student Learning in American Sign Language Education

  Saad Hassan, Laleh Nourian, Caluã de Lacerda Pataca, Michelle M Olson, Toni D'aurio, Kanupriya Agarwal, Syeda Mah Noor Asad, Garreth W. Tigwell, Matt Huenerfauth · 2026 · CHI '26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

  This CHI 2026 paper from a multi-institution US team (Tulane, Rochester Institute of Technology, Birmingham City University) investigates how AI could support American Sign Language (ASL) education — and centres, for the first time in this literature, the perspectives of the…

  American Sign Language · ASL · sign language education · deaf educators · AI in education

• Exploring the Role of Generative AI in Dementia Resilience Building Activities: Uncovering Opportunities and Challenges

  Sushant Kot, Margi Engineer, Elizabeth Gilman, Christopher Flathmann, Alisha Pradhan, Emma Dixon · 2026 · ACM Transactions on Computer-Human Interaction

  This qualitative HCI study examines how people with Mild Cognitive Impairment (MCI) and mild-to-moderate dementia envision using commercially available generative AI applications in everyday life. Rather than designing for this population from the outside, the researchers…

  dementia · generative AI · large language models · resilience · cognitive accessibility

• RAVEN: Realtime Accessibility in Virtual ENvironments for Blind and Low-Vision People

  Xinyun Cao, Kexin Phyllis Ju, Chenglin Li, Venkatesh Potluri, Dhruv Jain · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  RAVEN is a GenAI-powered system enabling blind and low-vision (BLV) users to query and modify 3D virtual environments in real time through natural language. Rather than relying on developer-defined static accessibility features (such as fixed audio descriptions or color…

  blind and low vision · virtual environments · generative AI · 3D accessibility · natural language interaction

• Programmers Who Use Screen Readers in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape

  Nan Chen, Luna K. Qiu, Arran Zeyu Wang, Zilong Wang, Yuqing Yang · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This two-week, three-phase longitudinal study investigates how 16 blind and low-vision (BLV) programmers who rely on screen readers engage with advanced AI code assistants, specifically GitHub Copilot in Visual Studio Code. The study was motivated by the rapid shift from direct…

  screen readers · blind and low vision · AI code assistants · GitHub Copilot · vibe coding

• Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needs

  Satwik Ram Kodandaram, Jiawei Zhou, Xiaojun Bi, IV Ramakrishnan, Vikas Ashok · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This exploratory interview study with 14 blind screen-reader users examines how they use accessibility-focused online forums (JFW, NVDA groups, AppleVis, r/Blind) and generative AI tools (ChatGPT, Gemini, Claude) to troubleshoot computer-interaction problems, learn new assistive…

  blind users · screen readers · accessibility forums · generative AI · ChatGPT

• A Sound Understanding — An In-Situ Deployment of an Accessible Audio-Media Player with People Living with Aphasia

  Filip Bircanin, Alexandre Nevsky, Madeline N Cruice, Ognjen Markovic, Timothy Neate · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Bircanin and colleagues argue that audio-only media — radio, podcasts, audiobooks — has been largely ignored in accessibility research and practice, even though it structures the daily lives of millions and is a significant barrier for people living with aphasia (PWA), a…

  aphasia · audio accessibility · podcasts · audiobooks · complex communication needs

• Do-It-Yourself AAC: Co-Designing User-Programmable AI Communication Tools with People with Aphasia

  Jong Ho Lee, Stephanie Valencia · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Lee and Valencia explore how people with aphasia (PWA) can become designers of their own AI-powered augmentative and alternative communication (AAC) tools rather than users of rigid, pre-built systems. The authors note that aphasia, a language disorder typically resulting from…

  aphasia · AAC · augmentative and alternative communication · end-user programming · generative AI

• μCap: Instrumental Music Captions for Deaf and Hard-of-Hearing Individuals

  SooYeon Ahn, In-Chang Baek, KyungJoong Kim, Khai N. Truong, Jin-Hyuk Hong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Ahn and colleagues introduce μCap (Music Captions), an automatic captioning system that makes instrumental music accessible to Deaf and Hard-of-Hearing (DHH) audiences by producing time-aligned, non-lexical textual renderings — syllable-like strings such as 'Tta-da-ding' or…

  deaf and hard of hearing · DHH · captions · closed captions · music accessibility

• I'm Always a Little Skeptical of It: Verification Practices of Blind Users When Working with Generative AI in Spreadsheets

  Minoli Perera, Swamy Ananthanarayan, Cagatay Goncu, Kim Marriott · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a remote study with 12 blind screen reader users (11 totally blind, 1 legally blind) examining how they verify outputs produced by Generative AI tools when working on accuracy-critical spreadsheet tasks. Spreadsheets are pervasive in workplace and…

  blindness · screen readers · Generative AI · spreadsheets · AI accessibility

• 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

• Scaffolding Metacognition with GenAI: Exploring Design Opportunities to Support Task Management for University Students with ADHD

  Zihao Zhu, Junnan Yu, Yuhan Luo · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper applies a metacognitive lens to academic task management for university students with ADHD, asking how Generative AI (GenAI) tools like ChatGPT, Gemini, and Claude could scaffold the awareness and regulation of one's own thinking processes that this population…

  ADHD · metacognition · generative AI · large language models · co-design

• "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

• 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

• Beyond Descriptions: A Generative Scene2Audio Framework for Blind and Low-Vision Users to Experience Vista Landscapes

  Chitralekha Gupta, Jing Peng, Ashwin Ram, Shreyas Sridhar, Christophe Jouffrais, Suranga Nanayakkara · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Scene description apps (Seeing AI, Be My AI, Envision) do a reasonable job of telling blind and low-vision (BLV) users what is in front of them, but they are built for utility - 'there is a chair'. They fail at the aesthetic, leisure, emotional experience of distant landscapes:…

  blind and low vision · sonification · spatial audio · generative AI · psychoacoustics

• Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing

  Shuo Niu, Dylan Clements, Hyungsin Kim · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Niu, Clements, and Kim worked with nine people with disabilities (PwDs) from a Massachusetts disability advocacy group (pseudonymized as 'Campaign') to study how novice users adopt generative AI for creating first-person disability storytelling videos. Participants had…

  generative AI · disability storytelling · video accessibility · disability advocacy · LLM

• 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

• Remembering with Reminiscope: Codesigning with Generative AI for Reminiscence Among Older Adults

  Lisha Zhu, Rui Qi, Siyuan Huang, Xueliang Li · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper presents two linked studies investigating how generative AI can support reminiscence among older adults, both individually and in group settings. In Study 1, the authors conducted individual co-design sessions with 16 residents of a care home in Shenzhen,…

  Generative AI · older adults · reminiscence · human-AI co-design · reminiscence technology

• 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

• Harmonizing the Senses: Designing a Cross-Modal Interactive Art System to Enhance Older Adults' Affective Experiences

  SiHan An, Yifan Wu, Zihan Zhang, Yuanlinxi Li, Mengqi Jiang, Jiaxin Zhang, Qingchuan Li · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates how cross-modal correspondence and congruency across visual, auditory, and kinetic modalities shape older adults' affective experiences in digital art systems, and how an AI-infused drawing mode can scaffold those experiences. The authors frame…

  older adults · multisensory stimulation · affective computing · cross-modal correspondence · generative AI

• Robot-Assisted Social Dining as a White Glove Service

  Atharva S Kashyap, Ugne Aleksandra Morkute, Patricia Alves-Oliveira · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper addresses a gap in the robot-assisted feeding literature: existing systems are almost exclusively evaluated in the lab or the home for solitary dining, leaving public, social contexts such as restaurants largely unstudied. The authors argue that social dining…

  assistive robotics · robot-assisted feeding · speculative design · participatory design · generative AI

• GenRole: Personalizing Role Play for Educators Supporting Autistic Students' Social Interaction Learning

  Yixuan Li, Keyi Zeng, Jiaqi Zong, Yingying Zhang, Hongzhu Deng, Li Wang, Xin Tong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper introduces GenRole, a generative-AI system that helps educators build personalised role-play activities for teaching social interaction skills to autistic children. Motivated by the gap between role-play as a well-evidenced teaching method for autistic…

  generative AI · personalization · social skills training · autistic children · role play

• Shared Stories, Shared Bonds: People with Dementia Exploring Generative AI Together

  Teis Arets, Maarten Houben, Fleur van Haeren, Wijnand IJsselsteijn, Giulia Perugia · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper reports on a qualitative workshop study examining how people living with mild to moderate dementia engage with three generative AI tools - Microsoft Copilot (text), Midjourney (images), and Suno (music) - in a group setting, and what forms of social connectedness…

  dementia · generative AI · social connectedness · cognitive accessibility · aging

• Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users

  Farnaz Zamiri Zeraati, Yang Cao, Yuehan Qiao, Hal Daumé III, Hernisa Kacorri · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates how blind users can exert control over responses generated by conversational visual question answering (VQA) systems built on vision-language models. While prompting and steering techniques are well established in general-purpose generative AI,…

  blind users · generative AI · visual question answering · VQA · personalization

• LingoLift: Supporting Educators in Personalized Oral Language Teaching for Autistic Children through Content Generation

  Jiawen Zhang, Dongyijie Primo Pan, Li Wang, Pan Hui, Xin Tong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper presents LingoLift, a generative AI system that supports special-education teachers and speech-language pathologists in preparing and delivering personalized oral language lessons for autistic children. The authors argue that existing autism-language tech…

  autism spectrum disorder · personalized learning · generative AI · oral language learning · human-AI collaboration

• Interface Support for Evaluating Disability Bias in AI-Generated Images

  Kelly Avery Mack, Lucy Jiang, Lotus Zhang, Leah Findlater · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Mack and colleagues investigate whether interface-level interventions can help users of generative text-to-image (T2I) tools recognise and avoid disability stereotypes in AI-generated images. The authors frame the work around a gap in AI safety: while model-side debiasing is an…

  AI bias · generative AI · text-to-image · disability representation · disability stereotypes