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• The Future of Urban Accessibility: The Role of AI

  Jon E. Froehlich, Chu Li, Maryam Hosseini, Fabio Miranda, Andres Sevtsuk, Yochai Eisenberg · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '24)

  This workshop paper examines the emerging role of artificial intelligence in designing equitable and accessible cities, transportation systems, and navigation tools for people with disabilities. The authors — spanning HCI, urban planning, public health, and accessibility…

  urban accessibility · artificial intelligence · smart cities · autonomous vehicles · pedestrian infrastructure

• Context-Aware Image Descriptions for Web Accessibility

  Ananya Gubbi Mohanbabu, Amy Pavel · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '24)

  This paper addresses a fundamental limitation of current AI-generated image descriptions: they describe images in isolation without considering the surrounding webpage context. When blind and low-vision (BLV) users encounter images on the web, what they need to know about an…

  alt text · image descriptions · blind and low vision · artificial intelligence · large language models

• 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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