Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
138 results found tagged machine learning.
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Computer Vision-based Methodology to Support AAC
This paper presents a methodology for supporting augmentative and alternative communication (AAC) through personalized gestural interaction using computer vision and machine learning. The authors developed the PGCA (Personal Gesture Communication Ass…
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How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities?
This interdisciplinary paper examines how UK equality law and EU data protection law (GDPR) intersect with AI fairness for people with disabilities (PWD). The authors argue that AI fairness for PWD requires a fundamentally different approach than for…
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The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective
This interdisciplinary paper examines the ethical landscape of AI datasets used for sign language recognition, generation, and translation technologies. Drawing on expertise from deaf community members, sign language linguists, and AI researchers, th…
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"Every Website Is a Puzzle!": Facilitating Access to Common Website Features for People with Visual Impairments
This paper addresses a fundamental challenge for screen reader users: while sighted users can rely on visual conventions to find common website features (log in at top right, contact at bottom), these shortcuts are inaccessible to users with visual i…
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Machine Generation of Audio Description for Blind and Visually Impaired People
This paper presents an extension to CineAD, a system for automatically generating audio descriptions (AD) for videos. The authors address a critical accessibility gap: most videos, films, and cultural programming lack audio descriptions, leaving blin…
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Measuring the Accuracy of Automatic Speech Recognition Solutions
This study provides independent, comprehensive benchmarking of 11 common automatic speech recognition (ASR) services to assess their real-world accuracy for accessibility purposes. The research addresses a critical gap: while vendors claim "state-of-…
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Stress Detection of Autistic Adults during Simulated Job Interviews Using a Novel Physiological Dataset and Machine Learning
This research addresses the significant employment barriers faced by autistic adults, with job interviews identified as a primary obstacle. The researchers developed a physiological stress detection system integrated with CIRVR (Career Interview Read…
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Conversational Voice User Interfaces Supporting Individuals with Down Syndrome: A Literature Review
This systematic literature review examines 43 papers published between 1998 and 2023 on the use of Conversational Voice User Interfaces (CVUIs) to support individuals with Down syndrome. Using the PRISMA methodology, the authors searched ACM Digital …
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A Spellchecker for Dyslexia
This paper introduces Real Check, a spellchecker designed specifically to detect real-word errors—spelling mistakes that result in unintended but valid words (e.g., "form" instead of "from"). While dyslexia affects approximately 10% of the population…
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Talkabel: A Labeling Method for 3D Printed Models
This poster paper presents Talkabel, a low-cost labeling system that makes 3D printed models accessible to blind users by enabling them to access spoken labels through simple taps on tactile markers. Three-dimensional models are valuable educational …