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• Towards Language Independent Detection of Dyslexia with a Web-based Game

  Maria Rauschenberger, Luz Rello, Ricardo Baeza-Yates, Jeffrey P. Bigham · 2018 · Proceedings of the 15th International Web for All Conference (W4A 2018)

  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 population and early…

  dyslexia · screening · serious games · language independent · auditory processing

• Detecting Autism Based on Eye-Tracking Data from Web Searching Tasks

  Victoria Yaneva, Le An Ha, Sukru Eraslan, Yeliz Yesilada, Ruslan Mitkov · 2018 · Proceedings of the 15th International Web for All Conference (W4A)

  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 from 15 adults with clinically…

  autism · eye tracking · machine learning · web accessibility · cognitive accessibility

• Screening Dyslexia for English Using HCI Measures and Machine Learning

  Luz Rello, Enrique Romero, Maria Rauschenberger, Abdullah Ali, Kristin Williams, Jeffrey P. Bigham, Nancy Cushen White · 2018 · International Conference on Digital Health

  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 only after failing in…

  dyslexia · machine learning · screening · serious games · early detection

3 results.