The usage of eye tracking technologies increased in different contexts during last years. This creates an opportunity to design user-adaptive systems by integrating eye-movement data and prediction of users’ cognitive states based on that. This research project aim to design user-adaptive information system applications by leveraging ML algorithms to predict users’ cognitive states.