Prediction of Players Motivational States Using Electrophysiological Measures during Serious Game Play

Author

Derbali, Lotfi ; Frasson, Claude

Author_Institution

Dept. d´´Inf. et de Rech. Operationnelle, Univ. de Montreal, Montreal, QC, Canada

fYear

2010

fDate

5-7 July 2010

Firstpage

498

Lastpage

502

Abstract

This study investigated players´ motivation during serious game play. It is based on a theoretical model of motivation. Statistical analysis showed a significant increase of motivation during the game. This study tried to dissect predictors of Players´ Motivational States. Multiple linear regression showed statistical significance of specific electrophysiological data. The theta wave in the frontal regions and motivation were positively correlated. High-beta wave in the left-center region was also a significant predictor for high level of motivation. Skin conductance was also a significant predictor for motivation. However, we could not find a significant correlation between players´ motivation and their heart rate responses.

Keywords

bioelectric phenomena; computer games; psychology; regression analysis; electrophysiological measurement; motivation model; multiple linear regression; player motivational states prediction; serious game play; skin conductance; statistical analysis; Brain modeling; Computers; Electrodes; Electroencephalography; Games; Heart rate; Predictive models; Heart rate; Learning; Motivation; Multiple linear regression; Power spectral EEG; Serious game; Skin conductance;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on

Conference_Location

Sousse

Print_ISBN

978-1-4244-7144-7

Type

conf

DOI

10.1109/ICALT.2010.143

Filename

5573180