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• Augmenting Imagery with Multimodal Vibrotactile Representations: Touch, Feel, and Hear

  Mazen Salous, Matthias Kramer, Wilko Heuten, Charles Hudin, Susanne Boll, Larbi Abdenebaoui · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper addresses a long-standing gap in image accessibility for blind and visually impaired (BVI) users: while alt text, sonification, tactile graphics, and refreshable Braille displays convey shape, layout, and identity, they rarely communicate how an object…

  image accessibility · blind and low vision · vibrotactile feedback · haptic rendering · material perception

• GeoVisA11y: An AI-based Geovisualization Question-Answering System for Screen-Reader Users

  Chu Li, Rock Yuren Pang, Arnavi Chheda-Kothary, Ather Sharif, Henok Assalif, Jeffrey Heer, Jon E. Froehlich · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper tackles a long-neglected corner of accessible data visualization: geovisualizations — choropleth maps, dot density maps, and similar spatially encoded displays that pack demographic, environmental, and public-health information into visual layouts that…

  geovisualization · data visualization · accessible visualization · screen readers · large language models

• Exploring the Impacts of Background Noise on Auditory Stimuli of Audio-Visual eHMIs for Hearing, Deaf, and Hard-of-Hearing People

  Wenge Xu, Foroogh Hajiseyedjavadi, Debargha Dey, Tram Thi Minh Tran, Mark Colley · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates a critical but overlooked accessibility question in the design of external Human-Machine Interfaces (eHMIs) for automated vehicles (AVs): how do Deaf and Hard-of-Hearing (DHH) pedestrians experience audio-visual eHMIs, and how does real-world…

  deaf and hard of hearing · external human-machine interface · automated vehicles · pedestrian safety · multimodal interaction

• Towards Inclusive External Human-Machine Interface: Exploring the Effects of Visual and Auditory eHMI for Deaf and Hard-of-Hearing People

  Wenge Xu, Foroogh Hajiseyedjavadi, Kurtis Weir, Chukwuemeka Eze, Mark Colley · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper is a companion to Xu et al. 2026 (10.1145/3772318.3791557) but with a broader, two-stage inclusive-design focus: selecting appropriate visual eHMI concepts for Deaf and Hard-of-Hearing (DHH) pedestrians and then evaluating how visual and auditory eHMIs work…

  deaf and hard of hearing · external human-machine interface · automated vehicles · pedestrian safety · multimodal interaction

• Contextual Scaffolding and Self-Efficacy: Supporting Computer Skill Development among Blind Learners in India

  Akshay Kolgar Nayak, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper presents a four-month contextual inquiry at two Indian computer training centers serving 94 blind or visually impaired (BVI) students — one urban center in Bengaluru focused on job-oriented ICT training (KEONICS certification) and one rural residential blind school in…

  screen readers · blind and low vision · computer literacy · Global South accessibility · India

• "I Don't Trust Any Professional Research Tool": A Re-Imagination of Knowledge Production Workflows by, with, and for Blind and Low-Vision Researchers

  Omar Khan, JooYoung Seo · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper is an autoethnographically-grounded, mixed-methods study of how blind and low-vision (BLV) researchers actually do research inside an ecosystem of tools built with sighted workflows in mind. Written by two BLV researchers (one totally blind, one low vision),…

  meta-research · blind and low vision · research workflows · academic accessibility · activity theory

• FAME: Exploring Expressive Facial Avatars for Lyrical and Non-Lyrical Music Visualization for d/Deaf Individuals

  Suhyeon Yoo, Yifang Pan, Ashish Ajin Thomas, Karan Singh, Khai N. Truong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates whether expressive facial avatars can carry the emotional and structural richness of music — rhythm, pitch, melody, lyrics, and emotion — to d/Deaf and Hard of Hearing (DHH) audiences in ways that captions and abstract visualizers cannot. The…

  Deaf music · DHH · music accessibility · facial avatar · music visualization

• Challenges in Automatic Speech Recognition for Adults with Cognitive Impairment

  Michelle Cohn, Alyssa Lanzi, Yui Ishihara, Chen-Nee Chuah, Georgia Zellou, Alyssa Weakley · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper quantifies how well state-of-the-art automatic speech recognition (ASR) handles voice commands produced by older adults with cognitive impairment, and asks which acoustic features actually predict transcription accuracy. The authors draw on the Voice…

  automatic speech recognition · ASR · dementia · Alzheimer's disease · mild cognitive impairment

• Advancing Inclusive Digital Well-Being Tools: How Neurodivergent Students Use Distraction Blockers

  Marvel Chrismatheo Hariadi, Kevin Chow, Joanna McGrenere · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper asks whether digital distraction blockers — Apple Screen Time, Forest, Freedom, StayFocusd, and similar tools — actually serve the neurodivergent post-secondary students who are arguably their most marginal audience, or whether blocker design silently…

  neurodivergence · ADHD · autism spectrum disorder · generalized anxiety disorder · distraction blockers

• ATTENPlay: A Game-Based Attention Network Test for Autistic Children

  Yuying Wan, Xin Tong, Kaishun Wu · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper addresses a long-standing methodological problem in autism research: the Attention Network Test (ANT) — the standard computerized tool for measuring alerting, orienting, and executive-control attention networks — is abstract, repetitive, and built for…

  autism · autism spectrum disorder · attention network test · cognitive assessment · game-based assessment

• Redesigning Educational Videos for Deaf and Hard-of-Hearing Learners

  Si Chen, Haocong Cheng, Suzy Su, Lu Ming, Sarah Masud, Qi Wang, Yun Huang · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Educational videos have exploded in higher education and online learning, but accessibility guidance for d/Deaf and Hard-of-Hearing (DHH) learners has barely moved beyond captions and transcripts. Chen and colleagues argue this is a theoretical gap as much as a practical one:…

  deaf and hard of hearing · video accessibility · captioning · multimedia learning · cognitive accessibility

• From Selfie Stick to Virtual Cane: Enabling Blind Exploration through Mobile Virtual Reality

  Hao Tang, Hong Zhao, Xinpeng Liu, Zhenchao Xia, William Seiple, Zhigang Zhu · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Consumer VR is a visual-first medium, which in practice shuts out blind and low-vision (BLV) users. Tang and colleagues argue that existing accessible VR systems do help BLV users explore virtual environments (VEs), but they depend on head-mounted displays, external tracking…

  blind and low vision · virtual reality · mobile accessibility · orientation and mobility · white cane

• 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

• Let's Make a Community [of Practice]: Using Community-Based Participatory Design to Support Interdependence

  Elaine Czech, Dan Bennett, Grace Jane Stangroome, Vanessa Aisyahsari Hanschke, Amy Ingold, Paul Marshall, Oussama Metatla · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Accessibility and HCI research on dementia has moved away from the medical-model framing of 'recipients of care' toward dementia-friendly communities, interdependence, and person-centred support. But Czech and colleagues note a gap: most of this work designs interventions…

  dementia · aging · participatory design · community-based participatory design · interdependence

• Reimagining Sign Language Technologies: Analyzing Translation Work of Chinese Deaf Online Content Creators

  Xinru Tang, Anne Marie Piper · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Tang and Piper investigate the translation practices of thirteen deaf Chinese online content creators who produce sign language videos for Kuaishou, Bilibili, Douyin, WeChat, and Xiaohongshu, reaching audiences that range from thousands to nearly a quarter million followers. The…

  sign language · deaf accessibility · sign language translation · content creators · translanguaging

• 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

• Grassroots Maker Perspectives on Participation in Do-It-Yourself Assistive Technology Development

  Saquib Sarwar, David Wilson, Khairul Mahbub · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Sarwar, Wilson, and Mahbub interviewed 20 grassroots DIY assistive-technology (DIY-AT) makers in the U.S. between July 2021 and December 2023 to build a maker-centered account of the DIY-AT ecosystem. Participants were recruited from social media (Reddit r/AssistiveTechnology,…

  DIY assistive technology · assistive technology · 3D printing · digital fabrication · makerspace

• 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

• Supporting Money Management among Adults with Down Syndrome: A Multi-Technology Probe Study

  Hailey L. Johnson, Heidi Spalitta, Callie Y. Kim, Bilge Mutlu · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Johnson, Spalitta, Kim, and Mutlu designed three cash-based budgeting technology probes for adults with Down syndrome (AwDS) and ran a comparative usage study with seven participants aged 19-39. The work is motivated by a gap between special-education financial curricula (which…

  Down syndrome · intellectual disability · assistive technology · financial accessibility · augmented reality

• Towards LLM-powered Assistive Drone for Blind and Low Vision Users

  Yize Wei, Ibnu Taimiyyah Bin Adam, Hanjun Wu, Moritz Messerschmidt, Wei Tsang Ooi, Christophe Jouffrais, Suranga Nanayakkara · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Wei and colleagues built and evaluated a voice-based assistive drone prototype for blind and low-vision (BLV) users that leverages GPT-4o in two stages: generating step-by-step Python drone-control code from natural-language commands, and interpreting images captured by the…

  blind and low vision · assistive technology · drone · LLM · large language models

• Building Care That Fits Its People: Insights from Social Media-Enabled Community-Based Rehabilitation in Thailand

  Acarima Nanthanasit, Sophia Ppali, Wan-Jou She, Panote Siriaraya, Thammathip Piumsomboon, Siwaporn Sukittanon, Chee Siang Ang, Alexandra Covaci · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports on a six-month, multi-platform social media intervention for Community-Based Rehabilitation (CBR) of stroke patients in rural Chiang Mai, Thailand. The authors co-designed content with clinicians, Village Health Volunteers (VHVs), and community…

  Community-Based Rehabilitation · digital health · social media · Global South accessibility · stroke recovery

• 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

• CLARIS: Clear and Intelligible Speech from Whispered and Dysarthric Voices

  Neil Shah, Yash Sonkar, Shirish Subhash Karande, Vineet Gandhi · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper introduces CLARIS (Clear and Accessible Restoration of Impaired Speech), a compact end-to-end neural speech-to-speech restoration system designed to convert whispered speech and dysarthric speech into clear, natural, intelligible voice output. The authors…

  speech accessibility · dysarthria · voice conversion · whispered speech · silent speech

• 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