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• Fluid Independence: Powered Wheelchair Users' Perspectives on Autonomy, Care, and Assistive Technology

  Md Tanzil Shahria, Nayan Banik, Md Samiul Haque Sunny, Mohammad H Rahman · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a large qualitative study of 55 powered-wheelchair users (PWUs) across ten U.S. states, using 45-minute semi-structured interviews and Braun-and-Clarke thematic analysis to examine how independence is experienced, negotiated, and mediated by assistive…

  powered wheelchair · assistive technology · participatory design · independence · caregiving

• Beyond the Manual: Mapping Peer-Generated Content about Wheelchair Care and Adaptation on YouTube

  Wen Mo, Aneesha Singh, Lan Xiao, Catherine Holloway · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper presents a content analysis of 290 YouTube videos (from 194 unique channels, 8,629 initial results narrowed via inclusion/exclusion) and 800 sampled comments from a total 10,781 harvested, examining how wheelchair users and their caregivers document, share,…

  wheelchair · DIY assistive technology · YouTube · content analysis · peer support

• Co-Design of Technology with and for People with Intellectual Disabilities: A Scoping Review of Methods and Inclusion Strategies

  Jacqueline Johnstone, Madhuka Nadeeshani, Preity Pai, Troy McGee, Kirsten Ellis, Swamy Ananthanarayan · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This scoping review examines how people with Intellectual Disabilities (ID) and their support networks have been involved in the co-design of technology, addressing a persistent gap: despite HCI's growing emphasis on inclusive design, people with ID remain markedly…

  co-design · intellectual disability · participatory design · inclusive design · scoping review

• SoundWeAR: Co-Designing AR Sound Cues to Support Outdoor Awareness for DHH Individuals

  Anna Surovkova, Tianze Xie, Xinan Yang, Seungwoo Je · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  SoundWeAR investigates how augmented-reality glasses can translate environmental sound into visual cues that support the situational awareness of Deaf and Hard of Hearing (DHH) people in outdoor settings - a context prior work has largely neglected in favour of indoor scenarios…

  deaf and hard of hearing · augmented reality · sound awareness · sound visualization · situational awareness

• AuslanSpell: An Interactive Technology for Improving Auslan Fingerspelling Comprehension

  Kalin Stefanov, Andre Ky Pham, Antony Smith Loose, Lucy M Robertson-Bell, Louisa Jane Vaughan Willoughby · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  AuslanSpell is an interactive learning tool that converts arbitrary English text into 3D motion-captured animations of Australian Sign Language (Auslan) fingerspelling, targeting hearing learners who struggle with the hardest part of sign-language learning: reading…

  Auslan · fingerspelling · sign language · signing avatar · language learning

• 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

• Beyond Accuracy: Auditing Allocative Harms in Facial-Gesture Recognition for People with Motor Impairments

  Siyu Zhang, Yelu Gu, Kirsten Cater, Oussama Metatla · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper challenges the conventional framing of facial-gesture recognition accuracy as a purely technical property, and reframes it as a sensorimotor alignment problem between user intention and algorithmic interpretation. The authors conducted a mixed-methods empirical study…

  facial gesture recognition · motor impairment · algorithmic fairness · allocative harm · accessibility

• TouchScribe: Augmenting Non-Visual Hand-Object Interactions with Automated Live Visual Descriptions

  Ruei-Che Chang, Rosiana Natalie, Wenqian Xu, Jovan Zheng Feng Yap, Tiange Luo, Venkatesh Potluri, Anhong Guo · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  TouchScribe is a wearable, camera-based assistive system that delivers live, hierarchical visual descriptions of physical objects in response to a blind or low vision (BLV) user's hand-object interactions. The authors argue that existing AI assistants such as Seeing AI, Be My…

  blind and low vision · assistive technology · visual descriptions · hand-object interactions · gestures

• Understanding Nature Engagement Experiences of Blind People

  Mengjie Tang, Xinman Li, Juxiao Zhang, Franklin Mingzhe Li, Zhuying Li · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This mixed-methods study investigates how blind people in mainland China experience and relate to natural environments, a domain the authors argue has been almost entirely overlooked by Human-Nature Interaction (HNI) research and by accessibility tooling, which has focused…

  nature engagement · blind and low vision · human-nature interaction · multisensory · wellbeing

• 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

• 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

• A Personalized and Adaptable User Interface for a Speech and Cursor Brain-Computer Interface

  Hamza Peracha, Carrina Iacobacci, Tyler Singer-Clark, Leigh R Hochberg, Sergey D. Stavisky, David M. Brandman, Nicholas S Card · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper reports on the user interface design for an intracortical brain-computer interface (BCI) deployed for everyday at-home use by people with severe paralysis. The work centers on a 22-month longitudinal co-design study with one BrainGate2 trial participant, T15 - a…

  brain-computer interface · AAC · ALS · amyotrophic lateral sclerosis · paralysis

• 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

• How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People

  Ricardo E. Gonzalez Penuela, Crescentia Jung, Sharon Lin, Ruiying Hu, Shiri Azenkot · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a two-week diary study with 20 Blind and Low Vision (BLV) participants (ages 19–75, 11 female/9 male, 13 blind/7 low vision) investigating how multimodal large language models (MLLMs) support real-world access to visual information. The authors built…

  AI · accessibility · multimodal large language models · MLLM · visual question answering

• TaskAudit: Detecting Functiona11ity Errors in Mobile Apps via Agentic Task Execution

  Mingyuan Zhong, Xia Chen, Davin Win Kyi, Chen Li, James Fogarty, Jacob O. Wobbrock · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper introduces TaskAudit, an automated accessibility evaluation system for mobile apps that detects what the authors coin 'functiona11ity errors' — accessibility barriers that only manifest through interaction, where a UI's static state looks accessible but its…

  mobile accessibility · accessibility auditing · automated accessibility testing · generative agents · large language models

• "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

• Exploring AI Opportunities in Deaf Education: Understanding Design Needs Through Teacher and Parent Perspectives in Bangladesh

  Md. Ataur Rahman Bhuiyan, Nadim Mahmud Dipu, Tanvir Rahman, Oindri Aurunima Sarker, Shidhartha Chakrabarty Turzo, Jannatun Noor · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 qualitative study investigates how AI-powered educational tools should be designed for Deaf learners in Bangladesh — a low-resource context where Bangla Sign Language (BdSL) is still evolving, datasets are small, and infrastructure (internet, electricity, devices)…

  deaf education · sign language · Bangla Sign Language · BdSL · artificial intelligence

• "I followed what felt right, not what I was told": Autonomy, Coaching, and Recognizing Bias Through AI-Mediated Dialogue

  Atieh Taheri, Hamza El Alaoui, Patrick Carrington, Jeffrey P. Bigham · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 experimental study tests whether brief AI-mediated dialogue can shift people's recognition of ableist microaggressions, and whether the direction of AI coaching (biased, inclusive, or absent) changes the nature of that shift. The authors built a custom web platform…

  ableism · microaggressions · bias recognition · AI-mediated dialogue · large language models

• Toward Independent Online Shopping of the Visually Impaired Through Voice-based Computer-Using Agent

  Subin Shin, Jeesun Oh, Suhyun Kim, Seoyeon Eom, Sangwon Lee · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates how visually impaired users might shop online independently by interacting with a voice-based Computer-Using Agent (CUA) — an AI agent built on a Large Multimodal Model (LMM) that can perceive a screen, reason about its contents, and manipulate a…

  visual impairment · blindness · low vision · voice interface · conversational user interfaces

• Like, Comment & Caption: A Decade of Social Media Video Caption Research (2015-2025)

  Huong Nguyen, Emma J. McDonnell, Lloyd May, Alexander Druzenko, Zoobia Saifullah Syeda, Mark Cartwright, Sooyeon Lee · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper is a systematic literature review of 36 peer-reviewed studies on Social Media Video Captions (SMVC) published between 2015 and 2025, spanning HCI, accessibility, media studies, education, and language learning. The authors use 'SMVC' as an umbrella for…

  captioning · captions · video accessibility · social media accessibility · Deaf and hard of hearing

• From Autonomy to Sovereignty — A New Telos for Socially Assistive Technology

  JiWoong (Joon) Jang, Patrick Carrington, Andrew Begel · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 theory paper argues that assistive-technology (AT) research has long treated 'independence' as its primary goal — a framing codified in the 1988 U.S. Technology-Related Assistance Act — even though disabled people's lived experience is saturated with…

  social accessibility · assistive technology · relational sovereignty · interdependence · independence

• EmojiFan: Designing A Social Interface Supporting Facial Expression Interaction for Blind and Low Vision People in Party Settings

  Jinlin Miao, Shan Luo, Yue Chen, Hongyue Wang, Zhejun Zhang, Rina R. Wehbe · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper presents EmojiFan, an AI-assisted wearable prototype designed to help blind and low-vision (BLV) adults participate in facial-expression interactions in party settings — a social context the authors identify as particularly hostile to BLV inclusion because of…

  blind and low vision · visual impairment · facial expression · social accessibility · wearable technology

• Looking Beyond the Screen to Study the Technology Use of Older People Experiencing Cognitive Concerns

  Ruipu Hu, Eun Kyoung Choe, Amanda Lazar · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper is a week-long qualitative study of how ten older adults with cognitive concerns — nine with Subjective Cognitive Decline (SCD) and one with Mild Cognitive Impairment (MCI), ages 50s–80s, six Mandarin-speaking — use videoconferencing in their everyday lives.…

  older adults · aging · cognitive accessibility · cognitive concerns · subjective cognitive decline

• "It Depends": Re-Authoring Play Through Clinical Reasoning in Wearable AR Rehab Games

  Binyan Xu, Wei Wu, Soonhyeon Kweon, Casper Harteveld, Leanne Chukoskie · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper examines how lightweight, glasses-form-factor augmented reality (AR) rehabilitation games can be translated from laboratory prototypes into everyday physical therapy (PT) practice. The authors argue that most AR rehab research has stalled in controlled…

  augmented reality · rehabilitation · physical therapy · clinical reasoning · embodied interaction

• Reimagining Wearable AR Gesture Design: Physical Therapy Reasoning in Everyday Contexts

  Wei Wu, Binyan Xu, Soonhyeon Kweon, Yujie Wang, Leanne Chukoskie, Casper Harteveld · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reimagines gesture vocabularies for lightweight, everyday augmented reality (AR) glasses — the emerging category of optical see-through wearables (e.g., Snap Spectacles, Meta Orion, Ray-Ban Meta) that are entering consumer and workplace life. The authors…

  augmented reality · gesture interaction · wearable technology · physical therapy · ergonomics