Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
61 results found tagged large language models.
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A More Accessible Web with Natural Language Interface
This extended abstract proposes building a general natural language interface (NLI) for the Web that would allow users to express their needs in plain language and have the system automatically carry out the required actions on any website. The appro…
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Does ChatGPT Generate Accessible Code? Investigating Accessibility Challenges in LLM-Generated Source Code
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…
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QuickQue: Enabling Quick Access to Information in User Reviews for Screen Reader Users
This paper presents QuickCue, a Google Chrome browser extension that helps blind screen reader users efficiently access online customer reviews by using LLM-powered aspect and sentiment classification to organize and summarize review content. The cur…
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LLMs for Accessibility in Mobile Apps: Detection and Repair
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 primar…
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When LLM-Generated Code Perpetuates User Interface Accessibility Barriers, How Can We Break the Cycle?
This paper evaluates the ability of large language models (LLMs) to generate accessible web user interfaces, comparing ChatGPT (GPT-4-turbo) and Claude (3.5 Haiku) across two prompting strategies: accessibility-agnostic prompts ("Design the homepage …
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Audio Description Customization
This paper investigates how audio descriptions (AD) for video content can be customized to meet the diverse preferences of blind and low-vision (BLV) users. Traditional ADs are fixed narratives created by sighted describers, offering no ability for u…
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"I'm treating it kind of like a diary": Characterizing How Users with Disabilities Use AI Chatbots
This study investigates how people with disabilities actually use LLM-based chatbots like ChatGPT, Gemini, Claude, and Perplexity in their daily lives. While previous research has focused primarily on identifying harms that LLMs impose on the disabil…
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Making Lecture Videos Accessible for Students who are Blind or have Low Vision through AI-Assisted Navigation and Visual Question Answering
This paper presents the design and evaluation of LectureAssistant, an AI-powered prototype that makes lecture videos more accessible for students who are blind or have low vision. The research follows a three-part human-centred design process. First,…
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Examining Age-Bias and Stereotypes of Aging in LLMs
This paper investigates how large language models encode and reproduce age-related stereotypes about older adults. Using prompts from the Bias Benchmarking Questionnaire (BBQ), a well-established fairness dataset, the researchers administered 1,648 a…
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Understanding Human-AI Misalignment in LLM-Based Job-Seeking Support for Neurodivergent Users
This paper examines how misalignments manifest between neurodivergent job-seekers and a GPT-4-powered career support chatbot deployed by Mentra, a neuroinclusive employment platform with over 46,000 neurodivergent users. The researchers analysed 348 …