Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
99 results found tagged personalization.
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Comparing Locomotion Techniques in Virtual Reality for People with Upper-Body Motor Impairments
This paper presents the first empirical study comparing the accessibility of virtual reality locomotion techniques — methods for navigating virtual environments — for people with upper-body motor impairments. Despite over 100 distinct locomotion tech…
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Understanding Personalized Accessibility through Teachable AI: Designing and Evaluating Find My Things for People who are Blind or Low Vision
This paper from Microsoft Research presents Find My Things, one of the first fully realized end-to-end teachable AI applications for accessibility. The app allows people who are blind or low vision to teach their phone to recognize personal objects —…
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How Do People with Limited Movement Personalize Upper-Body Gestures? Considerations for the Design of Personalized and Accessible Gesture Interfaces
This study investigates how people with upper-body motor impairments design personalized gestures for common device functions like move, select, zoom-in, open, and delete. The researchers recruited 25 participants with conditions including spinal cor…
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CuCap: Comparative Analysis of Customized Captioning between North American and South Korean d/Deaf and Hard-of-Hearing Users
This paper introduces CuCap, a customizable captioning system that allows d/Deaf and Hard-of-Hearing (DHH) users to personalize how paralinguistic speech features are visually represented in captions. Traditional captions convey only the words spoken…
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Exploring AI-Fabrication in Shaping the Future of DIY-AT Design: Insights from Makers
This paper investigates how generative AI can support Do-It-Yourself assistive technology (DIY-AT) design and fabrication. The researchers developed a web-based GenAI interface that combines text-to-image generation (via MidJourney) and image-to-3D m…
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DescribePro: Collaborative Audio Description with Human-AI Interaction
This paper presents DescribePro, a web-based platform that combines human expertise with AI capabilities to create and refine audio descriptions (AD) for video content. The system addresses the fundamental tension in AD production: human-crafted desc…
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CapTune: Adapting Non-Speech Captions With Anchored Generative Models
CapTune is a system that enables customization of non-speech captions—descriptions of environmental sounds, music, and other audio cues—for Deaf and Hard of Hearing (DHH) viewers. Current captioning practices follow a one-size-fits-all model based on…
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VeasyGuide: Personalized Visual Guidance for Low-vision Learners on Instructor Actions in Presentation Videos
This paper introduces VeasyGuide, a tool designed to make presentation videos more accessible for low-vision (LV) learners by automatically detecting and highlighting instructor actions such as pointing, marking, and sketching. The authors identify a…
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Interactive Technologies Designed for Children with Autism: Reports of Use and Desires from Parents, Teachers, and Therapists
This paper examines how parents, teachers, and therapists use, perceive, discover, and desire interactive technologies for children with autism spectrum disorder (ASD). The research combined 19 semi-structured interviews and 230 survey responses from…