Towards a human eye behavior model by applying Data Mining Techniques on Gaze Information from IEC

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dc.creatorPallez, Denis
dc.creatorBrisson, Laurent
dc.creatorBaccino, Thierry
dc.date2008-03-21
dc.date.accessioned2026-07-07T12:17:49Z
dc.date.available2026-07-07T12:17:49Z
dc.descriptionIn 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.
dc.identifierhttps://arxiv.org/abs/0803.3186
dc.identifierhttp://arxiv.org/abs/0803.3186
dc.identifierDans Proceedings of the Third International Conference on Human Centered Processes - Human Centered Processes, Delft : Pays-Bas (2008)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/212207
dc.subjectHuman-Computer Interaction
dc.subjectNeural and Evolutionary Computing
dc.titleTowards a human eye behavior model by applying Data Mining Techniques on Gaze Information from IEC
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