Literature Reviews

Reviewed research papers, articles, and publications relevant to digital accessibility.

• "It's trained by non-disabled people": Evaluating How Image Quality Affects Product Captioning with Vision-Language Models

  Kapil Garg, Xinru Tang, Jimin Heo, Dwayne R. Morgan, Darren Gergle, Erik B. Sudderth, Anne Marie Piper (2026) — Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  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-…

  • blind and low vision
  • vision-language models
  • image captioning
  • product identification
  • hallucinations
  • image quality
  • disability-centric evaluation
  • AI accessibility
  • assistive technology
  • Be My AI
  • Seeing AI

• How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People

  Ricardo E. Gonzalez Penuela, Crescentia Jung, Sharon Lin, Ruiying Hu, Shiri Azenkot (2026) — Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  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…

  • AI
  • accessibility
  • multimodal large language models
  • MLLM
  • visual question answering
  • blindness and low vision
  • diary study
  • visual interpretation
  • hallucination
  • conversational AI
  • trust
  • Seeing AI
  • Be My AI
  • assistive technology