Characterizing player’s experience from physiological signals using fuzzy decision trees
Date
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
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.
Description
Author manuscript, published in "IEEE Conference on Computational Intelligence and Games (CIG) 2010, Copenhagen : Denmark (2010)"
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.
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.
Keywords
Fuzzy Decision Trees, Physiological Signals, video games