Characterizing player´s experience from physiological signals using fuzzy decision trees

In the recent years video games have enjoyed a dramatic increase in popularity, the growing market being echoed by a genuine interest in the academic field. With this flourishing technological and theoretical efforts, there is need to develop new evaluative methodologies for acknowledging the various aspects of the player´s subjective experience, and especially the emotional aspect. In this study, we addressed the possibility of developing a model for assessing the player´s enjoyment (amusement) with respect to challenge in an action game. Our aim was to explore the viability of a generic model for assessing emotional experience during gameplay from physiological signals. In particular, we propose an approach to characterize the player´s subjective experience in different psychological levels of enjoyment from physiological signals using fuzzy decision trees.