Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
9 results found tagged large language model.
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Bridging Visual Asymmetry: Exploring AI-Mediated Communication Support for Parents with Visual Impairments and Their Sighted Children in Outdoor Informal Learning
This CHI 2026 paper investigates how AI-mediated communication can support parents with visual impairments (PVI) in engaging their sighted children during outdoor informal learning - settings like parks, insect houses, and museums where unplanned, vi…
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AI That Moves With You: A Review of Interactive Technologies Powered by Large Foundation Models for Mobility Impairment
This paper is a scoping review (PRISMA-ScR) of how large foundation models - LLMs, large vision models, and vision-language models - are being woven into interactive assistive technologies for people with mobility impairments, covering publications f…
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From Daily Song to Daily Self: Supporting Emotional Growth of Deaf and Hard-of-Hearing Individuals through Generative AI Songwriting
This CHI 2026 paper introduces SoulNote, a generative-AI songwriting system designed to support sustained emotional growth for Deaf and Hard-of-Hearing (DHH) individuals through music-based journaling. The authors argue that prior music-GenAI accessi…
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Lost in Instructions: Study of Blind Users' Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Products
Blind users increasingly reach for AI tools like Be My AI (Be My Eyes' GPT-4-powered assistant) and ChatGPT to interpret the printed and PDF product manuals that accompany consumer goods - flat-pack furniture, alarm clocks, timers, ring lights, smart…
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Deaf and Hard of Hearing Access to Intelligent Personal Assistants: Comparison of Voice-Based Options with an LLM-Powered Touch Interface
This mixed-methods study compares three input methods for Deaf and Hard of Hearing (DHH) people who use their voice to interact with an Amazon Echo Show: (1) natural deaf-accented speech via Alexa's built-in ASR, (2) Wizard-of-Oz 'facilitated English…
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Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision People
Collins and colleagues present the first empirical user study of an AI-powered 'sighted guide' for blind and low-vision (BLV) users in social virtual reality. Social VR platforms like VRChat (40,000 concurrent players) are largely inaccessible: they …
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ChitChatGuide: Conversational Interaction Using Large Language Models for Assisting People with Visual Impairments to Explore a Shopping Mall
ChitChatGuide is a smartphone-based indoor navigation system that wraps a GPT-4-powered conversational interface around an existing BLE-beacon localisation stack (HULOP) to support something most blind-navigation research overlooks: casual, purpose-l…
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From Information Seeking to Empowerment: Using Large Language Model Chatbot in Supporting Wheelchair Life in Low Resource Settings
This paper explores the deployment of Wheelpedia, a WhatsApp chatbot powered by GPT-4, as a design probe to support wheelchair users and professionals in Nigeria and Kenya over a two-month period. The WHO estimates that approximately 80 million peopl…
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Task Mode: Dynamic Filtering for Task-Specific Web Navigation using LLMs
This paper presents Task Mode, a Chrome browser extension that dynamically filters web content based on user-specified goals using large language models (specifically GPT-4o) to identify and prioritize task-relevant elements while suppressing distrac…