지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.10
- 수록면
- 397 - 410 (14page)
- DOI
- 10.5143/JESK.2020.39.5.397
이용수
초록· 키워드
오류제보하기
Objective: 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.
Background: Although the concept and side-effects of game addiction are recognized around the world, there is no objective means to define game addiction among health authorities, academic societies, and institutions. Also, studies suggesting objective references have been lacking so far. Considering the limitations of the current diagnosis subjective scale, it is necessary to make a quantitative assessment for the prevention and treatment of game addiction.
Method: With the existing diagnostic questionnaire, authors classified subjects into game-addicted groups and non-addicted group, and used ECG parameters representing heart rate variability. The parameters were analyzed by applying various window-sizes based on specific game situations. A t-test was used to compare the two groups. Finally, correlation analysis and factor analysis were performed to extract the best parameters to differentiate the two groups.
Results: The large window size over 20 minutes of gameplay time, showed no significant difference between the two groups. When the event data were analyzed, there was no significant difference during a player character killed an opponent player. However, when the player character was killed, there were significant differences in parameters. In particular, these differences were most prominent in a window size of 1min 30 sec after the player character was killed. After that, RMSSD and LF were found to be the most sensitive parameters through correlation analysis and factor analysis.
Conclusion: In this study, we measured and analyzed the stress response difference by using ECG parameters between game addicted group and the non-addicted group. As a result, it was observed that the game addiction group was sensitive to stress stimuli in a particular situation. The outcome of to extract this study is the optimal window-size and parameters for developing a quantitative model discriminating the sign of addiction among game users in the future.
Application: The parameters extracted in this study can be further tested to develop an algorithm to diagnose the addicted players, and the measuring technique used in this study is textile and non-invasive to be used at device development in the future.
Background: Although the concept and side-effects of game addiction are recognized around the world, there is no objective means to define game addiction among health authorities, academic societies, and institutions. Also, studies suggesting objective references have been lacking so far. Considering the limitations of the current diagnosis subjective scale, it is necessary to make a quantitative assessment for the prevention and treatment of game addiction.
Method: With the existing diagnostic questionnaire, authors classified subjects into game-addicted groups and non-addicted group, and used ECG parameters representing heart rate variability. The parameters were analyzed by applying various window-sizes based on specific game situations. A t-test was used to compare the two groups. Finally, correlation analysis and factor analysis were performed to extract the best parameters to differentiate the two groups.
Results: The large window size over 20 minutes of gameplay time, showed no significant difference between the two groups. When the event data were analyzed, there was no significant difference during a player character killed an opponent player. However, when the player character was killed, there were significant differences in parameters. In particular, these differences were most prominent in a window size of 1min 30 sec after the player character was killed. After that, RMSSD and LF were found to be the most sensitive parameters through correlation analysis and factor analysis.
Conclusion: In this study, we measured and analyzed the stress response difference by using ECG parameters between game addicted group and the non-addicted group. As a result, it was observed that the game addiction group was sensitive to stress stimuli in a particular situation. The outcome of to extract this study is the optimal window-size and parameters for developing a quantitative model discriminating the sign of addiction among game users in the future.
Application: The parameters extracted in this study can be further tested to develop an algorithm to diagnose the addicted players, and the measuring technique used in this study is textile and non-invasive to be used at device development in the future.
목차
1. Introduction
2. Method
3. Results
4. Discussion
5. Conclusion
References
참고문헌 (33)
참고문헌 신청
변영순 / 2007 / 인터넷 중독이 청소년의 정신 건강에 미치는 영향 / 지역사회간호학회지 18(3):460~468
Camm, A. J. / 1996 / Heart rate variability: standards of measurement, physiological interpretation, and clinical use / European Heart Journal 17(3):354~381
Drew, B. J. / 2004 / Practice standards for electrocardiographic monitoring in hospital settings: an american heart association scientific statement from the councils on cardiovascular nursing, clinical cardiology, and cardiovascular disease in the young: endorsed by the international society of computerized electrocardiology and the american association of critical-care nurses / Circulation 110(17):2721~2746
Gharib, K. / 2010 / P02-90-high levels of stress and addiction to internet / European Psychiatry 25:739
Hafeez, M. / 2016 / Study of game addiction pattern by using spectral analysis of EEG / HCI Korea 2016 :62~64
Camm, A. J. / 1996 / Heart rate variability: standards of measurement, physiological interpretation, and clinical use / European Heart Journal 17(3):354~381
Drew, B. J. / 2004 / Practice standards for electrocardiographic monitoring in hospital settings: an american heart association scientific statement from the councils on cardiovascular nursing, clinical cardiology, and cardiovascular disease in the young: endorsed by the international society of computerized electrocardiology and the american association of critical-care nurses / Circulation 110(17):2721~2746
Gharib, K. / 2010 / P02-90-high levels of stress and addiction to internet / European Psychiatry 25:739
Hafeez, M. / 2016 / Study of game addiction pattern by using spectral analysis of EEG / HCI Korea 2016 :62~64
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