Dytective: Toward a Game to Detect Dyslexia
Luz Rello, Abdullah Ali and Jeffrey Bigham
The 17th International ACM SIGACCESS Conference on Computers and Accessibility - Posters and Demos (ASSETS 2015)
Lisbon, Portugal, October 26-28, 2015
Detecting dyslexia is crucial so that people who have dyslexia can receive training to avoid associated high rates of academic failure. In this paper we present Dytective, a game designed to detect dyslexia. The results of a within-subjects experiment with 40 children (20 with dyslexia) show significant differences between groups who played Dytective. These differences suggest that Dytective could be used to help identify those likely to have dyslexia.
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