Abstract
The purpose of this study is to extract quantitative parameters that indicate significant differences in ECG(electrocardiogram) between game-addicted group and non-addicted group. Currently, there is no objective means to define game addiction among health authorities and academic societies. Therefore, authors attempted to classify subjects into game-addicted groups and non-addicted group. The existing diagnostic questionnaire was used to divide subjects into two groups, and used heart rate variability to detect the any particular sign of psychophysiological response of game addicted subjects different from the non-addicted subject. ‘League of Legends’ by Riot Games company was used for the test. The parameters were analyzed by applying various data collecting time windows. Multiple t-tests were used to compare the two groups. In results, no significant difference was found in the data collected from time window 1) full game period and 2) first and last 10 min, and 3) first and last 5 min. However, when the player’s character was killed, there were significant differences in parameters between two groups when 30 s, 60 s, and 90 s after ‘being killed event’. The outcome of this study showed that particular parameters at given data collecting window could generate more sensitive outcomes than the others. Further experiment would confirm the results to be used for developing an algorithm to quantitatively diagnose the addicted individuals.
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References
Korea Creative Content Agency: 2018 annual report for international contents market (2019)
Koepp, M.J., et al.: Evidence for striatal dopamine release during a video game. Nature 393(6682), 266–268 (1998)
Lee, Y., Chae, K.M.: Relations of computer game addiction and social relationship, adjustment of adolescent. Korean J. Clin. Psychol. 25, 711–726 (2006)
Good, O.S.: ‘Gaming disorder’ officially on World Health Organization’s list of diseases. https://www.polygon.com. Accessed 25 May 2019
Papousek, I., Nauschnegg, K., Paechter, M., Lackner, H.K., Goswami, N., Schulter, G.: Trait and state positive affect and cardiovascular recovery from experimental academic stress. Biol. Psychol. 83(2), 108–115 (2010)
Traina, M., Cataldo, A., Galullo, F., Russo, G.: Heart rate variability in healthy subjects. Minerva Psichiatr. 227, 31 (2011)
Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology: Standards of measurement, physiological interpretation and clinical use. Circulation 93(5), 1043–1065 (1996)
Acknowledgement
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education (NRF-2018R1D1A1B07050786).
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Kim, J.Y., Whang, M.C., Kim, D.J., Kim, H., Im, S. (2020). HRV Parameters Sensitively Detecting the Response of Game Addicted Players. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1293. Springer, Cham. https://doi.org/10.1007/978-3-030-60700-5_52
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DOI: https://doi.org/10.1007/978-3-030-60700-5_52
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