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http://dx.doi.org/10.7583/JKGS.2017.17.2.17

Engagement classification algorithm based on ECG(electrocardiogram) response in competition and cooperation games  

Lee, Jung-Nyun (Dept. of Emotion Engineering, Sangmyung University)
Whang, Min-Cheol (Dept. of Intelligent Engineering Informatics for Human, Sangmyung University)
Park, Sang-In (Industry-Academy Cooperation Team, Sangmyung University)
Hwang, Sung-Teac (Dept. of Emotion Engineering, Sangmyung University)
Publication Information
Journal of Korea Game Society / v.17, no.2, 2017 , pp. 17-26 More about this Journal
Abstract
Excessive use of the internet and smart phones have become a social issue. The level of engagement has both positive and negative effects such as good performance or indulgence phenomenon, respectively. This study was to develop an algorithm to determine the engagement state based on cardiovascular response. The participants were asked to play a pattern matching game and the experimental design was divided into cooperation and competition task to provide the level of engagement. The correlation between heart rate and amplitude was analyzed according to each task. The regression equation and accuracy were verified by polynomial regression analysis. The results showed that heart rate and amplitude were positively correlated when the task was a game, and negatively correlated when there was a reference task. The accuracy of classifying between game and reference task was 89%. The accuracy between tasks was confirmed to be 76.5%. This study is expected to be used to quantitatively evaluate the level of engagement in real time.
Keywords
Cardiovascular response; Engagement; Correlation analysis; Polynomial Regression Analysis;
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