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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • Misfitting With AI: How Blind People Verify and Contest AI Errors

    Rahaf Alharbi, Pa Lor, Jaylin Herskovitz, Sarita Schoenebeck, Robin N. Brewer · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper presents an in-depth qualitative study with 26 blind participants examining how they encounter, verify, and contest errors produced by AI-enabled visual assistance technologies (AI VAT) such as Seeing AI, Be My Eyes, and ChatGPT. While blind people increasingly rely…

    blind users · artificial intelligence · visual assistance technology · explainable AI · AI errors

  • Toward Effective Communication of AI-Based Decisions in Assistive Tools: Conveying Confidence and Doubt to People with Visual Impairments at Accelerated Speech

    Taslima Akter, Manohar Swaminathan, Apu Kapadia · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

    This paper investigates how people with visual impairments (PVIs) perceive confidence and doubt in speakers' voices when audio is played at accelerated speeds — a critical question because AI-based assistive tools (scene descriptors, facial recognition, image captioners) can…

    visual impairments · artificial intelligence · speech processing · screen readers · assistive technology

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