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Abstract

Paper Presented at the Web for All Conference in Perth, Australia M. Rauschenberger, L. Rello, R. Baeza-yates, E. Gomez, and J. P. Bigham, “Towards the Prediction of Dyslexia by a Web-based Game with Musical Elements,” w4a, pp. 4–7, 2017. The generated musical elements are available at http://bit.ly/2jeejmC The demo of the prototype DysMusic is available at http://bit.ly/DysMus More Project can be found on www.mariarauschenberger.com Abstract: Current tools for screening dyslexia use linguistic elements,since most dyslexia manifestations are related to difficultiesin reading and writing. These tools can only be used withchildren that have already acquired some reading skills and; sometimes, this detection comes too late to apply proper re-mediation. In this paper, we propose a method and presentDysMusic, a prototype which aims to predict risk of hav-ing dyslexia before acquiring reading skills. The prototypewas designed with the help of five children and five parentswho tested the game using the think aloud protocol and being observed while playing. The advantages ofDysMusicare that the approach is language independent and could beused with younger children,i.e., pre-readers.
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