Informing the Detection of the Students' Motivational State: An Empirical Study
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Digital Game-Based Learning
Display characteristics affect users' emotional arousal in 3D games
ERCIM'06 Proceedings of the 9th conference on User interfaces for all
ICALT '10 Proceedings of the 2010 10th IEEE International Conference on Advanced Learning Technologies
Advances in Human-Computer Interaction - Special issue on User Assessment in Serious Games and Technology-Enhanced Learning
Toward Exploiting EEG Input in a Reading Tutor
International Journal of Artificial Intelligence in Education - Best of AIED 2011
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This study investigated Attention getting strategies and their evaluation during serious game play. We proposed, therefore, the use of physical sensors, namely heart rate, skin conductance, and electroencephalogram (EEG), as well as a theoretical model of motivation (Keller's ARCS model) to evaluate two Attention getting strategies in a serious game environment. Results showed that some specific EEG ratios were more appropriate than others to physiologically evaluate learners' reactions. Finally, physiological evaluation of Attention getting strategies can relevantly provide an appropriate tool to discriminate between attentive and inattentive learners.