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• Programmers Who Use Screen Readers in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape

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

  This two-week, three-phase longitudinal study investigates how 16 blind and low-vision (BLV) programmers who rely on screen readers engage with advanced AI code assistants, specifically GitHub Copilot in Visual Studio Code. The study was motivated by the rapid shift from direct…

  screen readers · blind and low vision · AI code assistants · GitHub Copilot · vibe coding

• CodeA11y: Making AI Coding Assistants Useful for Accessible Web Development

  Peya Mowar, Yi-Hao Peng, Jason Wu, Aaron Steinfeld, Jeffrey P. Bigham · 2025 · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25)

  This paper addresses a persistent problem: despite decades of accessibility standards and tools, ~96% of web pages contain accessibility violations. The authors argue that AI coding assistants like GitHub Copilot represent an untapped opportunity because developers already use…

  web accessibility · AI coding assistants · developer tools · WCAG · automated testing

• Accessibility in AI-Assisted Web Development

  Peya Mowar · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

  This extended abstract from a CMU doctoral student examines whether AI code generation tools—specifically GitHub Copilot—help or hinder web accessibility when used by developers. The research is motivated by a persistent problem: despite decades of accessibility research, 96.3%…

  AI code generation · web accessibility · developer practices · GitHub Copilot · automated testing

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