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• A11y-CUA Dataset: Characterizing the Accessibility Gap in Computer Use Agents

  Ananya Gubbi Mohanbabu, Rosiana Natalie, Brandon Kim, Anhong Guo, Amy Pavel · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  A11y-CUA is an open dataset and benchmark designed to expose the accessibility gap in Computer Use Agents (CUAs) — AI systems like OpenAI Operator, Anthropic Computer Use, and Microsoft Copilot that operate computers by taking screenshots and performing mouse/keyboard actions.…

  blind and low vision · computer use agents · large language models · assistive technology · screen readers

• 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

• Investigating the Role of Agentic AI in Facilitating Travel Planning for People with Low Vision

  Ranran Ding, Maryam Bandukda · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract examines a stage of accessible travel that most assistive-technology research has overlooked: the pre-trip planning work people with low vision (PLV) do before ever leaving the house. The authors argue that most existing tools — navigation apps,…

  low vision · wayfinding · agentic AI · large language models · conversational agents

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