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Detecting Dyslexia with Interactions That Do Not Require a Knowledge of Language

[Source:  Medical X-Press]

Dyslexia is a specific learning disorder that affects 5-15% of the world population. MusVis, a web game developed by Maria Rauschenberger supervised by Ricardo Baeza-Yates and Luz Rello, researchers associated with the Department of Information and Communication Technologies (DTIC) at UPF, received the W4A Attendees’ Award on 20 April at the 17th International Web for All Conference, whose specific theme this year was Automation for Accessibility, for the communication paper entitled “Screening risk of dyslexia through a web-game using language-independent content and machine learning.”

Read the Rest of this Article on Medical X-Press

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