Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
343 results found tagged screen readers.
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Access in the Shadow of Ableism: An Autoethnography of a Blind Student's Higher Education Experience in China
This paper is a collaborative autoethnography written by Xinru Tang and Weijun Zhang, in which Zhang - a blind graduate student who completed his undergraduate work in a specialized program for blind and low-vision (BLV) students at "University A" in…
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Finding the Signal in the Noise: An Exploratory Study on Assessing the Effectiveness of AI and Accessibility Forums for Blind Users' Support Needs
This exploratory interview study with 14 blind screen-reader users examines how they use accessibility-focused online forums (JFW, NVDA groups, AppleVis, r/Blind) and generative AI tools (ChatGPT, Gemini, Claude) to troubleshoot computer-interaction …
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Bridging the Gap between Automated Intervention and Actual User Experience: A Mixed-Methods Study on Mobile Accessibility Issues for Screen Reader Users
This CHI 2026 paper by Huq, He, He, and Malek (UC Irvine) argues that existing automated accessibility testing tools for mobile apps do not faithfully represent what blind screen reader users actually experience, and proposes a user-aware categorisat…
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Idea11y: Enhancing Accessibility in Collaborative Ideation for Blind or Low Vision Screen Reader Users
Digital whiteboards such as Miro and FigJam have become central to brainstorming, design sprints, and UX research, yet their reliance on freeform spatial layout, drag-and-drop manipulation, and rapid visual scanning leaves blind and low-vision (BLV) …
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Programmers Who Use Screen Readers in the Vibe Coding Era: Adaptation, Empowerment, and New Accessibility Landscape
This two-week, three-phase longitudinal study investigates how 16 blind and low-vision (BLV) programmers who rely on screen readers engage with advanced AI code assistants, specifically GitHub Copilot in Visual Studio Code. The study was motivated by…
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A11y-CUA Dataset: Characterizing the Accessibility Gap in Computer Use Agents
A11y-CUA is an open dataset and benchmark designed to expose the accessibility gap in Computer Use Agents (CUAs) — AI systems like OpenAI Operator, Anthropic Computer Use, and Microsoft Copilot that operate computers by taking screenshots and perform…
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Towards Testing the Accessibility of Dynamic Visual Changes in Android Mobile GUI with Multi-Modal LLMs
This paper addresses a long-standing gap in mobile accessibility testing: dynamic visual changes in Android GUIs that communicate task status or feedback to sighted users but are invisible to blind users of screen readers such as TalkBack. Examples i…
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AXECC: Benchmarking the Privacy and Accessibility Impact of Browser Extensions
This paper presents AXECC, a novel automated framework for jointly measuring the web-tracking behaviour and accessibility impact of browser extensions at scale. The authors argue that while browser extensions are widely installed to improve the brows…
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FormA11y — Research and Development of a Tool for Remediating PDF Forms for Accessibility
Paliwal and colleagues — a team spanning the University of Maryland's Maryland Initiative for Digital Accessibility (MIDA), Northwestern, and Adobe Research — tackle a problem that has been largely overlooked in PDF accessibility research: the remedi…
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Proposing New Metrics to Evaluate Web Usability for the Blind
This four-page CHI '05 extended abstract argues that existing automated accessibility checkers — in 2005 typified by Bobby — had plateaued: they verified the presence of ALT attributes, labels, and markup conformance, yet real blind users still found…