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• 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

• LLMs for Accessibility in Mobile Apps: Detection and Repair

  Wajdi Aljedaani, Ahmed Aljohani, Marcelo M. Eler, Abdulrahman Habib, Hyunsook Do · 2025 · Proceedings of the 22nd International Web for All Conference (W4A 2025)

  This study evaluates the capacity of three large language models—GPT-4o, Gemini 1.0 Pro, and Llama 3—to detect, classify, and remediate accessibility violations in Android mobile applications. While prior LLM accessibility research has focused primarily on web applications, this…

  mobile accessibility · large language models · Android accessibility · automated accessibility testing · accessibility remediation

• OS-Level Surface Haptics for Touch-Screen Accessibility

  Suhong Jin, Joe Mullenbach, Craig Shultz, J. Edward Colgate, Anne Marie Piper · 2014 · Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility (ASSETS)

  This demonstration paper introduces an operating system-level implementation of surface haptic feedback for Android tablets, built on the TPad Tablet platform developed at Northwestern University. The TPad combines a standard 7-inch Android tablet with a variable friction haptic…

  haptic feedback · touchscreen accessibility · surface haptics · variable friction · assistive technology

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