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• "I look at it as the king of knowledge": How Blind People Use and Understand Generative AI Tools

  Rudaiba Adnin, Maitraye Das · 2024 · ASSETS 2024: 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This study investigates how blind individuals use and make sense of mainstream generative AI tools, based on semi-structured interviews with 19 blind participants who regularly use tools like ChatGPT, Google Gemini, Microsoft Copilot, Claude, and Be My AI (the GenAI-powered…

  generative AI · blindness · visual impairment · ChatGPT · mental models

• Does ChatGPT Generate Accessible Code? Investigating Accessibility Challenges in LLM-Generated Source Code

  Wajdi Aljedaani, Abdulrahman Habib, Ahmed Aljohani, Marcelo Eler, Yunhe Feng · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

  This paper presents the first empirical evaluation of the accessibility of web code generated by ChatGPT (GPT-3.5), examining both how accessible the generated code is and how well the model can fix accessibility violations. The study involved 88 web developers who prompted…

  web accessibility · large language models · ChatGPT · automated testing · WCAG

• In-Page Navigation Aids for Screen-Reader Users with Automatic Topicalisation and Labelling

  Jorge Sassaki Resende Silva, Paula Christina Figueira Cardoso, Raphael Winckler De Bettio, Daniela Cardoso Tavares, Carlos Alberto Silva, Willian Massami Watanabe, Andre Pimenta Freire · 2024 · ACM Transactions on Accessible Computing

  This paper addresses a fundamental challenge for screen reader users: navigating lengthy web documents that lack proper heading structure. When web pages do not include semantic headings or internal navigation links, users must read content linearly, which increases cognitive…

  screen readers · navigation · natural language processing · topic segmentation · large language models

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