Refining Measures for Assessing Problematic/Addictive Digital Gaming Use in Clinical and Research Settings
作者： Kyle Faust , David Faust
DOI: 10.3390/BS5030372
关键词:
摘要: Problematic or addictive digital gaming (including all types of electronic devices) can and has had extremely adverse impacts on the lives many individuals across world. The understanding this phenomenon, effectiveness treatment design monitoring, be improved considerably by continuing refinement assessment tools. present article briefly overviews tools designed to measure problematic use gaming, vast majority which are founded Diagnostic Statistical Manual Mental Disorders (DSM) criteria for other disorders, such as pathological gambling. Although adapting DSM content strategies measuring proven valuable, there some potential issues with approach. We discuss strengths limitations current methods provide various recommendations that might help in enhancing supplementing existing tools, developing new even more effective
mdpi.com
uri.edu
core.ac.uk 
sci-hub.se 参考文章(32)
Douglas A. Gentile, Sarah M. Coyne, Francesco Bricolo, Pathological Technology Addictions: What Is Scientifically Known and What Remains to Be Learned Oxford Handbooks Online. ,(2012) , 10.1093/OXFORDHB/9780195398809.013.0022
Catherine L. Lortie, Matthieu J. Guitton, Internet addiction assessment tools: dimensional structure and methodological status. Addiction. ,vol. 108, pp. 1207- 1216 ,(2013) , 10.1111/ADD.12202
Mark Griffiths, Jack, Why Do Gamers Buy "Virtual Assets"? An Insight in to the Psychology behind Purchase Behaviour. Digital Education Review. pp. 85- 104 ,(2015) , 10.1344/DER.2015.27.85-104
Daniel L. King, Maria C. Haagsma, Paul H. Delfabbro, Michael Gradisar, Mark D. Griffiths, Toward a consensus definition of pathological video-gaming: a systematic review of psychometric assessment tools. Clinical Psychology Review. ,vol. 33, pp. 331- 342 ,(2013) , 10.1016/J.CPR.2013.01.002
Brian D. Glass, W. Todd Maddox, Bradley C. Love, Real-Time Strategy Game Training: Emergence of a Cognitive Flexibility Trait PLoS ONE. ,vol. 8, pp. e70350- ,(2013) , 10.1371/JOURNAL.PONE.0070350
Daniel L. King, Paul H. Delfabbro, The cognitive psychology of Internet gaming disorder. Clinical Psychology Review. ,vol. 34, pp. 298- 308 ,(2014) , 10.1016/J.CPR.2014.03.006
Halley M. Pontes, Mark D. Griffiths, Measuring DSM-5 internet gaming disorder: Development and validation of a short psychometric scale Computers in Human Behavior. ,vol. 45, pp. 137- 143 ,(2015) , 10.1016/J.CHB.2014.12.006
C.S. Green, D. Bavelier, Action-Video-Game Experience Alters the Spatial Resolution of Vision: Psychological Science. ,vol. 18, pp. 88- 94 ,(2007) , 10.1111/J.1467-9280.2007.01853.X
Gi Jung Hyun, Doug Hyun Han, Young Sik Lee, Kyoung Doo Kang, Seo Koo Yoo, Un-Sun Chung, Perry F. Renshaw, Risk factors associated with online game addiction: A hierarchical model Computers in Human Behavior. ,vol. 48, pp. 706- 713 ,(2015) , 10.1016/J.CHB.2015.02.008
Mark Griffiths, A ‘components’ model of addiction within a biopsychosocial framework Journal of Substance Use. ,vol. 10, pp. 191- 197 ,(2005) , 10.1080/14659890500114359