Detecting readers with dyslexia using machine learning with eye tracking measures

@inproceedings{Rello2015DetectingRW,
  title={Detecting readers with dyslexia using machine learning with eye tracking measures},
  author={Luz Rello and Miguel Ballesteros},
  booktitle={W4A},
  year={2015}
}
Worldwide, around 10% of the population has dyslexia, a specific learning disorder. Most of previous eye tracking experiments with people with and without dyslexia have found differences between populations suggesting that eye movements reflect the difficulties of individuals with dyslexia. In this paper, we present the first statistical model to predict readers with and without dyslexia using eye tracking measures. The model is trained and evaluated in a 10-fold cross experiment with a dataset… CONTINUE READING

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