The Impact of Generative AI Coding Assistants on Developers Who Are Visually Impaired
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Abstract (arXiv)
The rapid adoption of generative AI in software development has impacted the industry, yet its effects on developers with visual impairments remain largely unexplored. To address this gap, we used an Activity Theory framework to examine how developers with visual impairments interact with AI coding assistants. For this purpose, we conducted a study where developers who are visually impaired completed a series of programming tasks using a generative AI coding assistant. We uncovered that, while participants found the AI assistant beneficial and reported significant advantages, they also highlighted accessibility challenges. Specifically, the AI coding assistant often exacerbated existing accessibility barriers and introduced new challenges. For example, it overwhelmed users with an excessive number of suggestions, leading developers who are visually impaired to express a desire for ``AI timeouts.'' Additionally, the generative AI coding assistant made it more difficult for developers to switch contexts between the AI-generated content and their own code. Despite these challenges, participants were optimistic about the potential of AI coding assistants to transform the coding experience for developers with visual impairments. Our findings emphasize the need to apply activity-centered design principles to generative AI assistants, ensuring they better align with user behaviors and address specific accessibility needs. This approach can enable the assistants to provide more intuitive, inclusive, and effective experiences, while also contributing to the broader goal of enhancing accessibility in software development.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 21 of its 112 references that are in the map. First posted on arXiv 10 Mar 2025.
Builds on
21 of 112 references.
References · 21
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9 more
- 2024How Beginning Programmers and Code LLMs (Mis)read Each Othercited by 31
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Built on by
Citing papers per year: 2025: 3; 2026: 4.
7 papers.
- 2025"Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision Peoplecited by 6
- 2025Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaborationcited by 4
- 2026Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needscited by 1
- 2026Dr. Claw: An AI Scientist Workspace for Vibe Researchcited by 1
- 2025Single Conversation Methodology: A Human-Centered Protocol for AI-Assisted Software Developmentcited by 0
- 2026Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge Workerscited by 0
- 2026Gricea: An Open Science Platform for Conversational AI Researchcited by 0
- 2026Gricea: An Open Science Platform for Conversational AI Research18 Sep 2026
- 2026Dr. Claw: An AI Scientist Workspace for Vibe Research31 Aug 2026
- 2026Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge Workers29 Apr 2026
- 2026Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needs20 Feb 2026
- 2025Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration12 Sep 2025
- 2025Single Conversation Methodology: A Human-Centered Protocol for AI-Assisted Software Development16 Jul 2025
- 2025"Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision People30 Jun 2025