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