Insight: Enhancing Mobile Accessibility for Blind and Visually Impaired Users with LLMs
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Abstract (arXiv)
This research paper addresses the limitations of current mobile accessibility services like TalkBack, which provide manual gesture-based sequential feedback to BVI users. Motivated by the promise of large language models (LLMs), this paper introduces Insight, an Android accessibility service that provides natural language interaction and real-time summarization of the screen. The paper performs a within-subject experimental study with users to compare Insight and TalkBack on usability factors. Results show Insight reduced mental effort and task time, and was preferred because of its dialogue interface, but users felt the need for interruption management. Results show LLM-based interfaces can significantly improve mobile accessibility, and describe the potential of hybrid solutions combining gesture and dialogue modalities towards more inclusive design.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 29 references that are in the map. First posted on arXiv 10 May 2026.
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10 of 29 references.
References · 10
- 2023A Survey on Evaluation of Large Language Modelscited by 1,242
- 2023AutoDroid: LLM-powered Task Automation in Androidcited by 184
- 2020Mapping Natural Language Instructions to Mobile UI Action Sequencescited by 181
- 2024Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMscited by 176
- 2021Screen2Words: Automatic Mobile UI Summarization with Multimodal Learningcited by 120
- 2022Enabling Conversational Interaction with Mobile UI using Large Language Modelscited by 66
- 2023VisionTasker: Mobile Task Automation Using Vision Based UI Understanding and LLM Task Planningcited by 28
- 2024GPTVoiceTasker: Advancing Multi-step Mobile Task Efficiency Through Dynamic Interface Exploration and Learningcited by 14
- 2024Enabling Uniform Computer Interaction Experience for Blind Users through Large Language Modelscited by 9
- 2025Leveraging Large Language Models for Realizing Truly Intelligent User Interfacescited by 1
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