Estimating Player Experience from Arousal and Valence Using Psychophysiological Signals

This work proposes a process for an assessment of Player Experience. In a simple way, the emotions are extracted according to arousal and valence values using a bi-dimensional model of affective states. The proposed process obtains affective states from two psychophysiological signals (Facial Expressions and Electrodermal Activity). Standard methods and Principal Component Analysis were used to extract a set of features from the collected signals. In this paper we propose to model a fuzzy system to assess Player Experience.