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

Authors:
Lotfi Derbali;Claude Frasson
Affiliations:
-;-
Venue:
ICALT '10 Proceedings of the 2010 10th IEEE International Conference on Advanced Learning Technologies
Year:
2010

Citing 0
Cited 4

Assessment of learners' attention while overcoming errors and obstacles: an empirical study

AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Physiological evaluation of attention getting strategies during serious game play

AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Assessment of learners' motivation during interactions with serious games: a study of some motivational strategies in food-force

Advances in Human-Computer Interaction - Special issue on User Assessment in Serious Games and Technology-Enhanced Learning
Quantifying cognitive impairment due to physical or mental stress

Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments

Quantified Score

Hi-index	0.00

Visualization

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.