Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
3 results found tagged Be My AI.
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Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users
This CHI 2026 paper investigates how blind users can exert control over responses generated by conversational visual question answering (VQA) systems built on vision-language models. While prompting and steering techniques are well established in gen…
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"It's trained by non-disabled people": Evaluating How Image Quality Affects Product Captioning with Vision-Language Models
Garg and colleagues investigate how well Vision-Language Models (VLMs) caption product images taken by blind and low-vision (BLV) people — a high-stakes everyday task that increasingly depends on tools like Be My AI, Microsoft Seeing AI, and general-…
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How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People
This CHI 2026 paper reports a two-week diary study with 20 Blind and Low Vision (BLV) participants (ages 19–75, 11 female/9 male, 13 blind/7 low vision) investigating how multimodal large language models (MLLMs) support real-world access to visual in…