Literature Reviews
Reviewed research papers, articles, and publications relevant to digital accessibility.
9 results found tagged screening.
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Automatic Babble Recognition for Early Detection of Speech Related Disorders
This paper presents the Early Vocalization Analyzer (EVA), a program that automatically analyzes digitized recordings of infant babbling to detect syllable boundaries, with the goal of screening infants who may be at risk for later communication prob…
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Screening Dyslexia for English Using HCI Measures and Machine Learning
This paper presents a machine learning approach to screening for dyslexia in English speakers by analyzing how users interact with a linguistic computer-based game called Dytective. More than 10% of the population has dyslexia, but most are diagnosed…
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Dytective: Towards Detecting Dyslexia Across Languages Using an Online Game
This paper presents Dytective, a browser-based game designed to screen for risk of dyslexia across English and Spanish languages. At least 10% of the global population has dyslexia, and in Spain over 40% of school dropout is attributed to it. Current…
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Towards the Prediction of Dyslexia by a Web-based Game with Musical Elements
This paper presents DysMusic, a web-based serious game prototype that aims to predict the risk of dyslexia in pre-reading children using musical elements rather than linguistic tasks. Current dyslexia screening tools rely on reading and writing abili…
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Detecting Autism Based on Eye-Tracking Data from Web Searching Tasks
This paper investigates whether eye-tracking data collected during everyday web tasks can be used to distinguish between people with and without autism, potentially enabling a low-cost, accessible screening approach. The study collected gaze data fro…
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Towards Language Independent Detection of Dyslexia with a Web-based Game
This paper presents MusVis, a web-based game designed to detect dyslexia in children using musical and visual elements that are language independent, potentially enabling screening before children learn to read. Dyslexia affects 5-15% of the world’s …
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Autism Detection Based on Eye Movement Sequences on the Web: A Scanpath Trend Analysis Approach
This paper investigates whether sequential eye-movement data — the order in which people look at elements on web pages — can be used to detect autism, improving upon the authors' previous non-sequential approach that achieved 75% accuracy but was uns…
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Screening Risk of Dyslexia Through a Web-Game Using Language-Independent Content and Machine Learning
This paper presents MusVis, a web-based game designed to screen for dyslexia risk using language-independent content and machine learning, enabling potential early detection even in pre-readers who have not yet developed literacy skills. Dyslexia aff…
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The story behind Dytective: how we brought research results on dyslexia and accessibility to Spanish public schools
This invited talk paper presents the decade-long research and entrepreneurial journey behind Dytective, a platform that combines machine learning and gamified exercises to detect risk of dyslexia and provide personalized interventions. Dyslexia affec…