Poster: A Preliminary Investigation on Eye Gaze-based Concentration Recognition during Silent Reading of Text

Abstract

We propose machine learning models to recognize state of non-concentration using eye-gaze data to increase the productivity. The experimental results show that Random Forest classifier with a 12 s window can divide the states with an F1-score more than 0.9.