Psychological Development and Education ›› 2015, Vol. 31 ›› Issue (4): 437-444.doi: 10.16187/j.cnki.issn1001-4918.2015.04.07

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The Mechanism of Online Game Addiction for Adolescents: Based on Technology Acceptance Model

ZHANG Guohua1, LEI Li2,3   

  1. 1. Department of Psychology, Wenzhou Medical University, Wenzhou 325035;
    2. Department of Psychology, Renmin University of China, Beijing 100872;
    3. School of Psychology, Central China Normal University, Wuhan 430079
  • Online:2015-07-15 Published:2015-07-15

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Abstract: This study investigated the influencing factors of online games addiction and its mechanism through questionnaires on 380 middle school students, based on the theoretical model of Technology Acceptance Model (TAM). The results indicated that (1) the variables, such as perceived usefulness, perceived ease of use, perceived quality of online games, online game experience and attitude, are all positively correlated with online games addiction; (2) perceived quality of online games and online game experience have direct effects on online games addiction and partly mediated by attitude; (3) perceived usefulness and perceived ease of use indirectly impacted online games addiction completely mediated by attitude, and had no direct effects on online games addition. The results suggests that perceived quality of online games, perceived usefulness, perceived ease of use and online game experience have significant influence on adolescents' online game addiction, and attitude was an important mediation variable among them.

Key words: adolescent, Technology Acceptance Model (TAM), perceived quality of online games, online game experience, online game addiction

CLC Number: 

  • B844
Boyle, E. A., Connolly, T. M., Hainey, T., & Boyle, J. M. (2012). Engagement in digital entertainment games: A systematic review. Computers in Human Behavior, 28(3), 771-780.
Brockmyer, J.H., et al. (2009). The development of the Game Engagement Questionnaire: A measure of engagement in video game-playing. Journal of Experimental Social Psychology, 45(4), 624-634.
Chou, T. J., & Ting, C. C. (2003). The role of flow experience in cyber-game addiction. CyberPsychology & Behavior, 6(6), 663-675.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.
Haagsma, M. C., Caplan, S. E., Peters, O., & Pieterse, M. E. (2013). A cognitive-behavioral model of problematic online gaming in adolescents aged 12-22 years. Computers in Human Behavior, 29(1), 202-209.
Hsu, C.L., & Lu, H.P. (2004).Why do people play on-line games? An extended TAM with social influences and flow experience Information & Management, 41(7), 853-868.
Hsu, S. H., Wen, M. H., & Wu, M. C. (2009). Exploring user experiences as predictors of MMORPG addiction. Computers & Education, 53(3), 990-999.
Huang, L.Y., & Hsieh Y.J. (2011). Predicting online game loyalty based on need gratification and experiential motives. Internet Research, 21(5), 581-598.
Kwak, D. H., Clavio, G. E., Eagleman, A. N., & Kim, K. T. (2010). Exploring the Antecedents and Consequences of Personalizing Sport Video Game Experiences. Sport Marketing Quarterly, 19(4), 217-225.
Lee, M.C., & Tsai, T.R. (2010). What Drives People to Continue to Play Online Games? An Extension of Technology Model and Theory of Planned Behavior. International Journal of Human-Computer Interaction, 26(6), 601-620.
Liker, J. K., & Sindi, A. A. (1997). User acceptance of expert systems: A test of the theory of reasoned action. Journal of Engineering and Technology Management, 14(2), 147-173.
Peters, C. S., & Malesky, A. (2008). Problematic Usage among Highly-Engaged Players of Massively Multiplayer Online Role Playing Games. CyberPsychology & Behavior, 11(4), 481-484.
Poels, K., de Kort, Y., & Ijsselsteijn, W. (2007). “It Is Always a Lot of Fun!” Exploring Dimensions of Digital Game Experience Using Focus Group Methodology. Proceedings of Futureplay, Toronto [CD Rom], Canada, pp. 83-89.
Shin, D.H. (2010). The Dynamic User Activities in Massive Multiplayer Online Role-Playing Games. International Journal of Human-Computer Interaction, 26(4), 317-344.
Smahel, D., Blinka, L., & Ledabyl, O. (2008). Playing MMORPGs: Connections between Addiction and Identifying with a Character. CyberPsychology & Behavior, 11(6), 715-718.
Tan, F. B., & Chou, J. P. C. (2008). The relationship between mobile service quality, perceived technology compatibility, and users' perceived playfulness in the context of mobile information and entertainment services. International Journal of Human-Computer Interaction, 24(7), 649-671.
Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Wu, J.H., Wang, S.C., & Tsai, H.H. (2010). Falling in love with online games: The uses and gratifications perspective. Computers in Human Behavior, 26(6), 1862-1871.
Young, K. S., & Klausing, P. (2007). Breaking Free of the Web: Catholics and Internet Addiction. Cincinnati, OH: St. Anthony's Messenger Press.
董建蓉, 李小平, 唐丽萍. (2007). 基于网络游戏的产品属性与消费行为研究——以大学生游戏成瘾为例. 中南民族大学学报(人文社科版), 27(s1), 83-85.
贺金波, 郭永玉, 向远明. (2008). 青少年网络游戏成瘾的发生机制. 中国临床心理学杂志, 16(1), 46-48.
江晓东,余璐. (2010). 网络游戏品质对玩家忠诚度的影响——沉浸体验的中介效应. 上海管理科学, 32(6), 76-80.
马庆国, 戴珅懿. (2011). 网络游戏成瘾量表研究——事件相关脑电位辅助分析. 管理工程学报, 25(2), 21-29.
荣泰生. (2010). AMOS与研究方法. 重庆: 重庆大学出版社.
魏华, 周宗奎, 鲍娜, 高洁. (2012). 网络游戏体验问卷在中国大学生中的适用性分析. 中国临床心理学杂志, 20(5), 597-599.
温忠麟, 张雷, 侯杰泰, 刘红云. (2004). 中介效应检验程序及其应用. 心理学报, 36(5), 614-620.
余祖伟, 孙配贞. (2012). 中学生网络游戏成瘾倾向与大七人格关系研究. 宁波大学学报(教育科学版), 34(1), 39-44.
张国华. (2013). 青少年的网络游戏体验及其对网络游戏成瘾发展的影响. 中国人民大学博士学位论文.
张璇, 谢敏, 胡晓晴, 葛少华, 郑全全. (2006). 大学生电脑游戏成瘾及其影响因素初探. 中国临床心理学杂志, 14(2), 150-152.
周浩, 龙立荣. 共同方法偏差的统计检验与控制方法. 心理科学进展, 2004, 12(6): 942-950.
周朗. (2006). 基于技术接受模型理论的网络游戏参与行为影响因素研究. 浙江大学硕士学位论文.
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