Screening Risk of Dyslexia Through a Web-Game Using Language-Independent Content and Machine Learning
Maria Rauschenberger, Ricardo Baeza-Yates, Luz Rello · 2020 · Proceedings of the 17th International Web for All Conference (W4A)
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 affects 5-15% of the world…
dyslexia · machine learning · screening · serious games · gamification