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• Sound, Touch, or the Full Monty? A Comparative Study of Accessible Data Exploration Systems for Blind Users

  Pramod Chundury, J. Bern Jordan, Yasmin Reyazuddin, Niklas Elmqvist, Jonathan Lazar · 2026 · ACM Transactions on Accessible Computing

  This paper presents a controlled within-subject comparative study of three accessible data exploration systems representing different sensory modalities: Olli (a screen-reader-based system using hierarchical text descriptions and keyboard navigation), TactualPlot (a tablet-based…

  data visualization · sonification · tactile graphics · refreshable braille display · multimodal accessibility

• Eye Gaze Behaviour and Comprehension of Colour Commentary and Gameplay Captions of Live Fast-Paced Sports for Deaf and Hard of Hearing Television Viewers

  Somang Nam, Tatyana Kumarasamy, Maria Karam, Margot Whitfield, Evan Hibbard, Jenny Leung, Deborah Fels · 2026 · ACM Transactions on Accessible Computing

  This ACM TACCESS study evaluates a novel captioning approach for live fast-paced sports broadcasting: 'Reduced Captioning' that displays only the colour commentary (opinions, context, analysis) and omits the verbatim play-by-play narration. The authors motivate this design…

  closed captioning · live captioning · broadcasting · sports · eye tracking

• Toward Integrating AI Chat and Search: A User-Centered Perspective across Age Groups

  Chen He, Michiel Spape, Khadijatul Kobra, Robin Welsch, Giulio Jacucci · 2026 · ACM Transactions on Interactive Intelligent Systems

  This paper investigates how younger adults (25 participants, mean age 27) and older adults (22 participants, mean age 56) use AI chat (ChatGPT) and traditional search (Google Search) together to retrieve information. The research is framed around Visual Data Exploration,…

  information retrieval · aging · older adults · AI chat · large language models

• Improving Low-Vision Chart Accessibility via On-Cursor Visual Context

  Yotam Sechayk, Hennes Rave, Max Rädler, Mark Colley, Zhongyi Zhou, Ariel Shamir, Takeo Igarashi · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Charts remain largely inaccessible to Low-Vision Individuals (LVI) because reading them requires holding both fine-grained data details and the broader visual context — axes, legend, grid lines, overview — in view at the same time, a task that magnification and restricted fields…

  low vision · data visualization · chart accessibility · assistive technology · screen magnification

• How to design cognitively accessible digital design patterns for booking tickets: A participative study with Easy-to-Read users.

  Sabina Sieghart, Björn Rohles, Kim Corti, Trang Nguyen, Ann Bessemans · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Sieghart and colleagues tackle a persistent gap in cognitive accessibility research: digital design patterns are almost never validated with Easy-to-Read (ETR) users — adults with intellectual disabilities who can read at a basic level. The paper reports a participatory design…

  cognitive accessibility · Easy-to-Read · intellectual disability · participatory design · digital design patterns

• Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision People

  Jazmin Collins, Sharon Y Lin, Tianqi Liu, Andrea Stevenson Won, Shiri Azenkot · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Collins and colleagues present the first empirical user study of an AI-powered 'sighted guide' for blind and low-vision (BLV) users in social virtual reality. Social VR platforms like VRChat (40,000 concurrent players) are largely inaccessible: they require interpreting avatars,…

  virtual reality · social VR · blind and low vision · AI guide · large language model

• Are You Comfortable Sharing It?: Leveraging Image Obfuscation Techniques to Enhance Sharing Privacy for Blind and Visually Impaired Users

  Satabdi Das, Nahian Beente Firuj, Manjot Singh, Arshad Nasser, Khalad Hasan · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper addresses a privacy gap in how blind and visually impaired (BVI) users share photos: because they cannot visually inspect what they capture, images routinely contain sensitive or inappropriate content (identifiable people, nudity, documents with credentials,…

  blind and low vision · privacy · image obfuscation · visual description services · user study

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