Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
138 results found tagged machine learning.
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Sona: Towards Context-Aware, Real-Time Personalization of Acoustic Environments for Noise Sensitivity
Huang and colleagues (University of Michigan and UC Irvine) reframe acoustic accessibility for people with noise sensitivity as selective, user-steerable soundscape mediation rather than wholesale noise cancellation. The authors argue that current co…
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Accuracy as Autonomy: How Reliable Information Enables Choice in Wheelchair-Accessible Taxi Services
Won and colleagues (Sungkyunkwan University and Michigan State) investigate how the accuracy of AI-predicted information in accessibility-oriented services affects users' psychological needs and technology acceptance, using Seoul's Wheelchair-Accessi…
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Open, Accurate, and Calibration-Free Muscle-Computer Interfaces
Eddy and colleagues tackle one of the long-standing barriers to practical muscle-computer interfaces (MCIs): that accurate, cross-user gesture recognition from forearm EMG has historically required either per-user calibration or access to closed data…
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SituFont: A Just-in-Time Adaptive Intervention Interface for Enhancing Mobile Readability in Situational Visual Impairments
SituFont is a smartphone reading interface that treats situational visual impairment (SVI) as a first-class design target and dynamically adjusts font parameters in response to real-time context. The authors argue that static accessibility settings a…
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Giving Meaning to Movements: Challenges and Opportunities in Expanding Communication by Pairing Unaided AAC with Speech Generated Messages
Kabir and colleagues tackle a long-standing split in Augmentative and Alternative Communication (AAC): aided AAC — speech-generating devices, symbol boards, tablet apps — produces standardised, intelligible output but is slow, visually demanding, and…
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CLARIS: Clear and Intelligible Speech from Whispered and Dysarthric Voices
This CHI 2026 paper introduces CLARIS (Clear and Accessible Restoration of Impaired Speech), a compact end-to-end neural speech-to-speech restoration system designed to convert whispered speech and dysarthric speech into clear, natural, intelligible …
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The EasyCog Dataset: Towards Easier Cognitive Assessment with Passive Video Watching
This paper introduces EasyCog, the first large-scale multimodal dataset designed for low-burden, low-cost cognitive assessment using passive visual engagement. The core motivation is to address well-documented limitations of standard clinical cogniti…
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Judge: Effective State Abstraction for Guiding Automated Web GUI Testing
This paper presents Judge, a novel approach to state abstraction for automated web GUI testing (AWGT). AWGTs explore web applications by performing GUI actions and building a state model to guide further exploration, maximising code coverage within a…
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Synergy of Artificial Intelligence and Extended Reality in Patient-focused Health and Well-Being Applications—A Systematic Review
This systematic review, conducted by researchers at Northwestern University's Feinberg School of Medicine, maps the landscape of applications that combine artificial intelligence and extended reality (XR) for direct patient health and well-being outc…
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Multi-Perspective Visual Contrastive Decoding for Reliable Assistance
This technical paper presents MPVCD (Multi-Perspective Visual Contrastive Decoding), a framework designed to address the reliability of AI-generated visual descriptions for people who are blind or have low vision (BLV). The core problem it tackles: w…