Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
28 results found tagged artificial intelligence.
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Accessible PDFs: Applying Artificial Intelligence for Automated Remediation of STEM PDFs
This Ph.D. research paper presents a plan to leverage artificial intelligence to automate the remediation of PDF documents from STEM fields, addressing one of the most significant barriers to information access for people with visual impairments. The…
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AAC with Automated Vocabulary from Photographs: Insights from School and Speech-Language Therapy Settings
This paper presents Click AAC, a prototype mobile application that automatically generates situation-specific communication boards from photographs using computer vision and natural language processing. Traditional symbol-based AAC devices organize v…
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Toward Effective Communication of AI-Based Decisions in Assistive Tools: Conveying Confidence and Doubt to People with Visual Impairments at Accelerated Speech
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 recogniti…
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Check Now, Can You See It?: Exploring Voice and Video-Capable Language Models for Identifying and Spatially Locating Items of Interest for Blind and Low-Vision Travelers
This experience report documents the lived experiences of two blind travelers — Aziz (28, blind in left eye, 20/2200 in right) and JooYoung (35, blind in right eye, limited vision in left) — as they adapted commercially available voice and video-capa…
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Designing Through Lived Experience: Reflections on Control, Embodiment, and Social Bias in Accessibility Research
This paper presents an analytic autoethnography of three accessibility research projects led by the first author, Atieh Taheri, a disabled researcher with Spinal Muscular Atrophy (SMA) who has used a wheelchair her entire life. Each project emerged f…
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Misfitting With AI: How Blind People Verify and Contest AI Errors
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 bli…
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Context-Aware Image Descriptions for Web Accessibility
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 t…
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The Future of Urban Accessibility: The Role of AI
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 heal…