Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
166 results found tagged blind and low vision.
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From Compliance to Decision Confidence: A Scoping Review of Accessible E-Commerce for Blind and Low-Vision People
Ryskeldiev, Gillingham, and Kobori (Mercari R4D and University of Tsukuba) present a scoping review of 21 papers (14 directly about e-commerce accessibility for blind and low-vision (BLV) users, 7 adjacent) published 2010-2025, drawn from ACM DL, Goo…
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TacChat: Exploring User Generation and Accessible Sharing via Tactile Graphics for the Blind and Visually Impaired
Zhang and colleagues (Tsinghua University, Singapore Management University, and Beijing School for the Blind) flip the usual framing of tactile-graphics research: rather than asking how blind and low-vision (BLV) people can better consume tactile ima…
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Get In Touch with Your Seat: Accessible Seat Localization for Blind and Low Vision Travelers in Autonomous Shuttles
Fink, Brown, Movalia, and colleagues (University of Maine VEMI Lab, Grand Valley State University, and General Motors Global Research and Development) tackle a segment of the autonomous-vehicle accessibility problem that has received little attention…
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The Perceptual Gap: Why We Need Accessible XAI for Assistive Technologies
Choudhury (University of Maryland, Baltimore County) presents a position paper and targeted literature review arguing that explainable AI (XAI) — the body of methods that help users understand why a black-box model produced a particular output — is f…
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Beyond Additive Design: An Empirical Taxonomy of Multimodal STEM Accessibility Systems
Sadallah and Encelle conduct a systematic review of 66 multimodal STEM accessibility systems for blind and visually impaired (BVI) users published between 2015 and 2025, drawn from the ACM Digital Library, IEEE Xplore, OpenAlex, PubMed, and Web of Sc…
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AI4XR: AI in Extended Reality for 3D Scene Editing and Accessibility Design
This CHI '26 Doctoral Consortium paper summarises Junlong Chen's PhD research at the University of Cambridge on integrating AI — specifically large language models (LLMs) and vision-language models (VLMs) — into extended reality (XR) workflows. The r…
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When Audio Is Enough: Design-Tradeoffs in Multi-Story MR Navigation
This CHI '26 exploratory study asks when an augmented-reality navigation aid can rely on audio alone. The authors argue that visual-first MR interfaces impose extra cognitive load and attention tunneling in high-stakes, cognitively demanding settings…
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HapticLens: Interactive Vibrotactile Haptic Generation from Spatially Localized Video Motion
HapticLens is an interactive method for generating single-actuator vibrotactile signals from arbitrary video content by letting a designer select a spatial region of interest and converting motion within that region into a vibration waveform in real …
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AI That Moves With You: A Review of Interactive Technologies Powered by Large Foundation Models for Mobility Impairment
This paper is a scoping review (PRISMA-ScR) of how large foundation models - LLMs, large vision models, and vision-language models - are being woven into interactive assistive technologies for people with mobility impairments, covering publications f…
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ElectroGrasp: Electrotactile Aids for Visually Impaired Individuals in Anticipatory Planning and Control of Grasp
Sighted people pre-shape their hand before touching an object - a visually-driven anticipatory grasp plan that visually impaired (VI) users cannot form, leading to the characteristic 'double grip' (initial contact followed by compensatory regrasp) th…