Towards a human eye behavior model by applying Data Mining Techniques on   Gaze Information from IEC
  In this paper, we firstly present what is Interactive Evolutionary Computation (IEC) and rapidly how we have combined this artificial intelligence technique with an eye-tracker for visual optimization. Next, in order to correctly parameterize our application, we present results from applying data mining techniques on gaze information coming from experiments conducted on about 80 human individuals. 
Denis Pallez (I3S), Laurent Brisson (I3S), Thierry Baccino (LPEQ)