Characterizing player’s experience from physiological signals using fuzzy decision trees
Author
Orero, Joseph Onderi
Levillain, Florent
Rifqi, Maria
Bouchon-Meunier, Bernadette
Metadata
Show full item recordAbstract
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.