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• Accessibility in Textile Crafting: A Critical Reflection on Making Technology, Disability, and Community

  Shanel Wu, Audrey Girouard · 2026 · ACM Transactions on Accessible Computing

  This paper examines what accessibility means in the context of textile crafting through a cross-sectional survey of 184 crafters with disabilities. The authors—both disabled/neurodivergent crafters and HCI researchers—adopt a critical participatory action research (CPAR)…

  textile crafts · crafting communities · online communities · accessibility · participatory action research

• CIDER: Collaborative Interactive Dynamic Environments for eXtended Reality

  Hung-Jui Guo, Hiranya Garbha Kumar, Yung-Jen Lin Guo, Balakrishnan Prabhakaran · 2026 · ACM Transactions on Multimedia Computing, Communications, and Applications

  CIDER (Collaborative Interactive Dynamic Environments for eXtended Reality) is an XR platform designed to enable real-time remote collaboration by automatically replicating a physical environment as an interactive virtual space. The authors address a core problem in…

  extended reality · mixed reality · virtual reality · remote collaboration · 3D reconstruction

• Synergy of Artificial Intelligence and Extended Reality in Patient-focused Health and Well-Being Applications—A Systematic Review

  Tim Schwirtlich, Cheolmin Matthew Lee, Molly Beestrum, David C. Mohr · 2026 · ACM Transactions on Computing for Healthcare

  This systematic review, conducted by researchers at Northwestern University's Feinberg School of Medicine, maps the landscape of applications that combine artificial intelligence and extended reality (XR) for direct patient health and well-being outcomes. The review follows…

  extended reality · artificial intelligence · rehabilitation · mental health · accessibility

• Designing Adaptive User Interfaces for mHealth Applications Targeting Chronic Disease: A User-Centered Approach

  Wei Wang, John Grundy, Hourieh Khalajzadeh, Anuradha Madugalla, Humphrey O. Obie · 2026 · ACM Transactions on Software Engineering and Methodology

  This paper from Monash and Deakin Universities addresses a persistent gap in mHealth design: most chronic disease self-management apps treat users as a homogeneous group, ignoring the wide variation in capabilities, health status, cultural background, and technological literacy…

  mHealth · adaptive user interfaces · chronic disease · accessibility · user-centered design

• DiG-Net: Enhancing Human–Robot Interaction through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics

  Eran Bamani Beeri, Eden Nissinman, Avishai Sintov · 2026 · ACM Transactions on Human-Robot Interaction

  DiG-Net (Distance-aware Gesture Network) addresses a fundamental limitation in gesture-controlled assistive robotics: existing dynamic gesture recognition systems work reliably only within about seven metres of the camera, severely constraining their usefulness in real-world…

  assistive robotics · gesture recognition · human-robot interaction · mobility impairment · accessibility

• Incorporating Procedural Fairness in Flag Submissions on Social Media Platforms

  Yunhee Shim, Shagun Jhaver · 2026 · ACM Transactions on Social Computing

  This paper examines how the design choices embedded in social media flagging mechanisms shape users' perceptions of procedural fairness. Flagging — the ability for users to report posts or accounts that violate community guidelines — is a critical component of platform…

  content moderation · platform governance · procedural fairness · flagging · social media

• Internet Voting Maturity Framework — Quantifying Maturity in Internet Voting Protocols

  Stanisław Barański, Ben Biedermann, Joshua Ellul · 2026 · ACM Distributed Ledger Technologies

  This paper introduces the Internet Voting Maturity Framework (IVMF), a structured, trust-centric scoring methodology for evaluating and comparing seventeen internet voting protocols. The research addresses a critical gap: despite a proliferation of i-voting systems, no unified…

  internet voting · e-voting · blockchain · accessibility · trust models

• Expanding Perspectives to Improve Access to Visual Archives through Multimodal Image Enrichment

  Karina Rodriguez Echavarria, Myrsini Samaroudi · 2026 · ACM Journal on Computing and Cultural Heritage

  This paper addresses a pervasive challenge in the Galleries, Libraries, Archives and Museums (GLAM) sector: large-scale visual collections that have been digitised but remain undiscoverable because they lack descriptive metadata. The authors, from the University of Brighton,…

  cultural heritage · metadata enrichment · AI image classification · FAIR principles · information discovery

• Inclusive Design of AI's Explanations: Just for Those Previously Left Out?

  Md Montaser Hamid, Fatima A. Moussaoui, Jimena Noa Guevara, Andrew Anderson, Puja Agarwal, Jonathan Dodge, Margaret Burnett · 2026 · ACM Transactions on Interactive Intelligent Systems

  This paper investigates whether inclusive design applied to AI explanations can produce curb-cut effects: improvements designed to help underserved users that also benefit everyone. The study centres on Explainable AI (XAI), a field concerned with helping users understand how AI…

  explainable AI · inclusive design · GenderMag · mental models · XAI

• Affective Wearable Haptic Interventions: A Systematic Literature Review

  Jueun Lee, Tobias Röddiger, Sarah Makarem, Till Riedel, Kai Kunze, Michael Beigl · 2026 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

  This systematic literature review synthesises 83 empirical studies on affective wearable haptic interventions published between 2010 and 2025, drawn from 1,098 articles identified in ACM Digital Library and IEEE Xplore. The review maps the design space of wearable haptic systems…

  haptic technology · wearable technology · affective computing · mental well-being · emotion regulation

• 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

• Disability-First AI Dataset Annotation: Co-designing Stuttered Speech Annotation Guidelines with People Who Stutter

  Xinru Tang, Jingjin Li, Shaomei Wu · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Tang, Li, and Wu present the first study to push the 'disability-first' principle beyond dataset collection and into the dataset annotation stage of the AI pipeline. Their case is stuttered speech: despite a growing number of stuttering datasets (FluencyBank, UCLASS, KSoF,…

  AI dataset annotation · stuttering · speech recognition · disability-first design · embodied knowledge

• SceneScout: Towards AI-Driven Access to Street Level Imagery for Blind Users

  Gaurav Jain, Leah Findlater, Cole Gleason · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Jain, Findlater and Gleason present SceneScout, a prototype web interface that uses a multimodal large language model (GPT-4o) to make street level imagery — the panoramic pedestrian-height photography behind Apple Maps Look Around and Google Street View — directly usable by…

  accessibility · navigation · screen readers · AI · multimodal AI

• Belonging in the Making: Investigating Inclusive Makerspace Design for Youth with Autism

  Krystal Yangmengzi Zhang, Marie Sakowicz, Emily Wingeart, Foad Hamidi · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Zhang, Sakowicz, Wingeart, and Hamidi investigate how makerspaces — the hands-on, technology-rich learning environments that have become common in libraries, schools, and community centres — can be designed to genuinely include youth with autism, rather than treating…

  technology-rich learning · accessibility · makerspaces · belonging · disability

• From Struggle to Success: Context-Aware Guidance for Screen Reader Users in Computer Use

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

  Chen, Lu, Wang, Qiu, Chen and Yang present AskEase, an NVDA add-on that delivers on-demand, step-by-step, screen-reader-friendly guidance for blind and low-vision computer users tackling unfamiliar desktop software. The work responds to a persistent problem: mainstream tutorials…

  accessibility · screen readers · AI · LLM · assistive technology

• 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

• 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

• 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

• "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

• 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

• Reassurance Robots: OCD in the Age of Generative AI

  Grace Barkhuff · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstracts paper by Grace Barkhuff (Georgia Tech) is an exploratory qualitative study of how generative AI tools, particularly ChatGPT, are reshaping the lived experience of Obsessive-Compulsive Disorder (OCD). OCD is a mental health disorder characterized…

  OCD · Obsessive-Compulsive Disorder · generative AI · ChatGPT · mental health