Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Digital Game-Based Learning
Emotional input for character-based interactive storytelling
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Valence, arousal and dominance in the EEG during game play
International Journal of Autonomous and Adaptive Communications Systems
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Current findings suggest that human-computer interaction following the basics of human-human interaction, in which emotions play a critical role. We performed a set of consecutive experiments in a laboratory environment for identification, recognition, visualization and interactive computing of affective states within a gaming application framework. To start our research and to get a data base we analyzed more than 90 test hours of user tests using rating-scales and physiological measurements. As results we provide (1) a mini-game with extra features for the induction and obtaining of affective states, (2) integrated data mining methods with recognition rates up to 70 percent, (3) different kind of visual representation of recognized emotions, and (4) an architecture for control of an affective game.