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• Towards Testing the Accessibility of Dynamic Visual Changes in Android Mobile GUI with Multi-Modal LLMs

  Mengxi Zhang, Jianlin Yu, Chen Xu, Jiqun Li, Xinglong Yin, Huaxiao Liu · 2026 · ACM Transactions on Computer-Human Interaction

  This paper addresses a long-standing gap in mobile accessibility testing: dynamic visual changes in Android GUIs that communicate task status or feedback to sighted users but are invisible to blind users of screen readers such as TalkBack. Examples include an input field…

  Android · mobile accessibility · screen readers · TalkBack · automated testing

• 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

• A11yExtensions: Accessibility Extensions to Augment Mobile AI Assistive Technology In-Situ

  Jaylin Herskovitz, Ellie Seehorn, Ather Jammoa, Jason Meddaugh, Anhong Guo · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  A11yExtensions introduces the concept of in-situ extensions for mobile AI assistive technology — add-on services that augment existing deployed applications like Seeing AI, Be My AI, and Lookout with additional features, without modifying or replacing those apps. The project was…

  blind and low vision · mobile accessibility · AI assistive technology · co-design · automation

• Bridging the Gap between Automated Intervention and Actual User Experience: A Mixed-Methods Study on Mobile Accessibility Issues for Screen Reader Users

  Syed Fatiul Huq, Ziyao He, Yirui He, Sam Malek · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper by Huq, He, He, and Malek (UC Irvine) argues that existing automated accessibility testing tools for mobile apps do not faithfully represent what blind screen reader users actually experience, and proposes a user-aware categorisation to bridge the gap. The…

  mobile accessibility · screen readers · TalkBack · automated accessibility testing · software accessibility

• 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

• 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

• 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

• 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

• 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

• Collaboration and Assistive Technology: Facilitating Joint Awareness for Noise Sensitivity

  Emani Hicks, Luc Rieffel, Ariya Gowda, Aehong Min, Gillian R Hayes · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  People with noise sensitivity (PWNS) - including those with misophonia, hyperacusis, and tinnitus, and overlapping strongly with the autistic community (estimated 45% prevalence) - experience everyday sounds as painful, distressing, or overwhelming. Existing supports are patchy:…

  noise sensitivity · misophonia · hyperacusis · sensory processing · autism

• SituFont: A Just-in-Time Adaptive Intervention Interface for Enhancing Mobile Readability in Situational Visual Impairments

  Jingruo Chen, Kexin Nie, Mingshan Zhang, Chun Yu, Zhiqi Gao, Kun Yue, Yuanchun Shi, Chen Liang · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  SituFont is a smartphone reading interface that treats situational visual impairment (SVI) as a first-class design target and dynamically adjusts font parameters in response to real-time context. The authors argue that static accessibility settings and one-off manual adjustments…

  situational visual impairment · situationally induced impairments and disabilities · adaptive typography · just-in-time adaptive intervention · human-in-the-loop

• Look Here, Click Me: Improving Older Adults’ Perception of Manipulable User Interface Components through AI-Based Perceptual Guidance

  Sera Park, Seoyeon Kim, Sangyeon Kim · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstracts paper from Sookmyung Women’s University (Seoul) tackles a concrete gap in older-adult digital literacy: existing programs teach step-by-step procedures ("tap here, then here, then here") that collapse the moment an app updates its layout. The…

  older adults · digital literacy · perceptual learning · accessibility · UI components

• Modeling Touch Input for Users with Motor Impairments: Empirical Insights into Training Size Requirements

  Radu-Daniel Vatavu, Irina Petrariu, Tudor Horomnea, Ovidiu-Ciprian Ungurean · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI Extended Abstract addresses a practical question for ability-based design: how many touch observations do you actually need before you can build a user-specific model of someone's touch performance? Most touch modeling work, including Bayesian Touch and the Dual…

  touch input · motor impairment · ability-based design · adaptive interfaces · touchscreen accessibility

• VisionAid: A Multimodal Assistive Application Supporting Safe Road Navigation for Visually Impaired People in Bangladesh

  Asif Mahbub, Nabil Bin Hannan · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  VisionAid is an Android pedestrian-safety app for blind and low vision (BLV) users in Bangladesh, where road crossing is dangerous because traffic is unstructured: lane discipline is rare, drivers run signals, and crosswalks are inconsistent. The authors argue that…

  blind and low vision · pedestrian navigation · mobile accessibility · computer vision · haptic feedback

• ArtfulSign: A Closed-Loop, Semantics-Grounded Mobile System for Learning Chinese Sign Language

  Yuan Zhao, Yueran Wang, Chenglong Tan, Siyang Tong, Dengfeng Yao, Wei Zhen · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  ArtfulSign is a mobile iOS application that reframes Chinese Sign Language (CSL) learning as an embodied skill practiced through short closed-loop interaction cycles rather than passive video consumption. The authors argue that most existing sign language learning tools - video…

  Chinese Sign Language · sign language learning · embodied learning · closed-loop interaction · semantic grounding

15 results.