Journal of the Korean Society for Computer Game (한국컴퓨터게임학회논문지)

Korean Society for Computer Game (한국컴퓨터게임학회)
권호 표지

Objective Usage Assessment and Continual Intervention System for Smartphone Addiction Study

스마트폰 중독 연구와 치료를 위한 사용량 측정 및 지속 관리 시스템

  • Ahn, Heejune (School of Information and Communications Engineering, Seoul National Uni. of Science and Technology) ;
  • Choi, Wanbok (School of Information and Communications Engineering, Seoul National Uni. of Science and Technology)
  • Received : 2014.02.15
  • Accepted : 2014.03.20
  • Published : 2014.03.31
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Abstract

For the recent 5-6 years, the ratio of smart phone users in South Korea has increased to over 65% of cellular subscribers and half of all population. While smartphones have given enormous convenience to our lives, pathological use of smartphones has brought a new mental health concern among the community. Therefore, huge interest sheds on the studies on the cause analysis and treatment of smartphone addiction. However, the traditional clinic approach based survey and interview has serious drawbacks of its subjectivity and inability of continual monitoring and treatment. In this paper, SAMS (smartphone addiction management system) is presented, which monitors the application usage pattern, provides statistical analysis, and policy-based usage intervention. A trail test is performed for checking he reliability and efficacy of SAMS in smartphone addiction research, and some analysis on the collected data are done: daily use count, not daily use time, has strong influence on smartphone addiction: CC=0.62 and CC =0.00 for the correlation coefficients of counts and times with total survey score, and p = 0.047 and p = 0.507 for t-test analysis of contrast group.

Keywords

Acknowledgement

Supported by : 서울과학기술대학교

References

  1. P. Zheng, and N. Lionel, "Smart phone and next generation mobile computing," Morgan Kaufmann, 2010.
  2. G. Porter, "Alleviating the dark side of smart phone use,"Proc. of IEEE Int. Symposium of Technology and Society (ISTAS), 2010, June 7-9, Rutgers. 435-440.
  3. D. I. Kim, Y. J. Chung, J. Y. Lee, "Development of smartphone addiction proneness scale for adults: self-report," Korean Journal of Counseling vol. 13, no. 2, pp. 629-644, 2012. https://doi.org/10.15703/kjc.13.2.201204.629
  4. S.-H. Moon, "History of Game Addiction Discourse in Korea", Journal of Korean Society for Computer Game, Vol.26 No.1, pp. 29-35, 2013.
  5. S. Lee, H. Lee, J.-W. Kim, "Research on the effectiveness of Game Regulation", Journal of Korean Society for Computer Game, Vol.25 No.3, pp. 211-221, 2012.
  6. K. S. Young, Internet addiction: Symptoms, evaluation, and treatment. In VandeCreek, L., and Jackson, T. (eds.), Innovations in Clinical Practice: A Source Book, Vol. 17, pp. 19-31, Professional Resource Press, Sarasota, FL.
  7. S. Byun, R. Celestino, J. E. Mills, A C. Douglas, M. Niang, S. Stepchenkova, S. K. Lee, "Internet addiction: metasynthesis of 1996-2006 quantitative research," CyberPsychology & Behavior 12, no. 2 2009, pp 203-207. https://doi.org/10.1089/cpb.2008.0102
  8. D. H. Gustafson, M. G. Boyle, B. R. Shaw, A. Isham, F. McTavish, S. Richards, C. Schubert, M. Levy, K. Johnson, An E-health solution for people with alcohol problems, Alcohol Research and Health, Vol. 33. No. 4, 2011, pp 327-337.
  9. L. Dennison, L. Morrison, G. Conway, L. Yardley, "Opportunities and Challenges for smartphone applications in supporting health behaviors change: Qualitative Study," J. Med. Internet Res 2013;15(4):e86. https://doi.org/10.2196/jmir.2583
  10. B. Patrick, "Android Anatomy and Physiology", Google IO conference, May 2008.
  11. H. Ahn, G. Park, H.-Y Lee, "Design and Implementation of Usage Monitoring and Regulation Application for Understanding and Treatment of Smart Phone Addiction for Teenagers,"J. of the Korean Society for Computer Game, vol. 26, no. 2, June 2013.
  12. S. Tilkov, and Steve Vinoski. "Node.js: Using JavaScript to build high-performance network programs," IEEE Internet Computing, vol. 14, no. 6, 2010, 80-83. https://doi.org/10.1109/MIC.2010.145
  13. J. Dean, and S. Ghemawat, "MapReduce: simplified data processing on large clusters," Communications of the ACM 51.1 (2008): 107-113.
  14. R. Cattell, "Scalable SQL and NoSQL data stores,"ACM SIGMOD Record39, no. 4, 2011, pp. 12-27. https://doi.org/10.1145/1978915.1978919
  15. K. Chodorow, MongoDB: the definitive guide. O'Reilly, 2013.
  16. C. Pautasso, O. Zimmermann, and F. Leymann, "Restful web services vs. big'web services: making the right architectural decision," Proc. of the 17th int. conference on World Wide Web, pp. 805-814. ACM, 2008.
  17. M. Bostock, O. Vadim, and J. Heer, "$D^3$ Data-Driven Documents," IEEE Transactions on, Visualization and Computer Graphics, vol 17, no. 12, 2011, pp. 2301-2309. https://doi.org/10.1109/TVCG.2011.185