DocumentCode :
2100838
Title :
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
Link To Document :
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