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A factor‐analytic investigation of computer ‘addiction’ and engagement
Open accessAbstract
Evidence supporting the application of Brown's (1991, 1993) conception of behavioural addiction to computing behaviour is presented. Questionnaire items tapping Brown's addiction criteria were factor‐analysed along with others, including computer apathy—engagement and computer anxiety—comfort items of Charlton and Birkett (1995). Items relating to some of Brown's criteria (tolerance, euphoria, and cognitive salience) were found to be complex, an Addiction factor loading upon them but an Engagement factor loading more highly. Items tapping other criteria (conflict, withdrawal, behavioural salience, and relapse and reinstatement) were shown to be factor pure, with only the addiction factor loading highly upon them. It is concluded that Brown's conception of behavioural addiction can be applied to computer‐related behaviour, although the relationship of milder facets of addiction, which are also merely indicative of high engagement, to computer‐related addictions is non‐unique. It is also concluded that classifying individuals as exhibiting pathological computer use using checklists based upon adaptations of DSM criteria for pathological gambling is likely to overestimate the number of people addicted to computing activities.
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Internet paradox: A social technology that reduces social involvement and psychological well-being?
Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998) · American Psychologist · doi:10.1037/0003-066x.53.9.1017 · Cited by 4,793
Psychology of Computer Use: XL. Addictive Use of the Internet: A Case That Breaks the Stereotype
Young, K. S. (1996) · Psychological Reports · doi:10.2466/pr0.1996.79.3.899 · Cited by 1,108
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What is user engagement? A conceptual framework for defining user engagement with technology
O'Brien, H. L., & Toms, E. G. (2008) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.20801 · Cited by 1,397
Pathological Video Game Use Among Youths: A Two-Year Longitudinal Study
Gentile, D. A., Choo, H., Liau, A., Sim, T., Li, D., Fung, D., & Khoo, A. (2011) · Pediatrics · doi:10.1542/peds.2010-1353 · Cited by 1,314
Internet Gaming Addiction: A Systematic Review of Empirical Research
Kuss, D. J., & Griffiths, M. D. (2012) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-011-9318-5 · Cited by 1,113
Distinguishing addiction and high engagement in the context of online game playing
Charlton, J. P., & Danforth, I. D. W. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2005.07.002 · Cited by 946
Self-citationThe benefits and dangers of enjoyment with social networking websites
Turel, O., & Serenko, A. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.1 · Cited by 684
The Association between Pathological Internet Use and Comorbid Psychopathology: A Systematic Review
Carli, V., Durkee, T., Wasserman, D., Hadlaczky, G., Despalins, R., Kramarz, E., Wasserman, C., Sarchiapone, M., Hoven, C. W., Brunner, R., et al. (2013) · Psychopathology · doi:10.1159/000337971 · Cited by 639
Integrating Technology Addiction and Use: an Empirical Investigation of Online Auction Users1
Turel, O., Serenko, A., & Giles, P. (2011) · MIS Quarterly · doi:10.2307/41409972 · Cited by 547
Internet gaming addiction: current perspectives
Kuss, D. (2013) · Psychology Research and Behavior Management · doi:10.2147/prbm.s39476 · Cited by 498
Online gaming addiction in children and adolescents: A review of empirical research
Kuss, D. J., & Griffiths, M. D. (2012) · Journal of Behavioral Addictions · doi:10.1556/jba.1.2012.1.1 · Cited by 418
Walsh, S. P., White, K. M., & McD Young, R. (2010) · Australian Journal of Psychology · doi:10.1080/00049530903567229 · Cited by 359
Kuss, D. J., Griffiths, M. D., & Pontes, H. M. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.5.2016.062 · Cited by 339
(2012) · Europe PMC (PubMed Central) · Cited by 282
Ifinedo, P. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.11.007 · Cited by 273
Children and video games: addiction, engagement, and scholastic achievement.
Skoric, M. M., Teo, L. L. C., & Neo, R. L. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2009.0079 · Cited by 270
Moqbel, M., & Kock, N. (2018) · Information & Management · doi:10.1016/j.im.2017.05.001 · Cited by 269
A theory of social media dependence: Evidence from microblog users
Wang, C., Lee, M. K. O., & Hua, Z. (2015) · Decision Support Systems · doi:10.1016/j.dss.2014.11.002 · Cited by 247
Billieux, J., Flayelle, M., Rumpf, H.-J., & Stein, D. J. (2019) · Current Addiction Reports · doi:10.1007/s40429-019-00259-x · Cited by 242
Excessive use of mobile social networking sites: Negative consequences on individuals
Zheng, X., & Lee, M. K. O. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.08.011 · Cited by 192
The Role of Structural Characteristics in Problematic Video Game Play: An Empirical Study
King, D. L., Delfabbro, P. H., & Griffiths, M. D. (2011) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-010-9289-y · Cited by 184
The Cyber-Pornography Use Inventory: The Development of a New Assessment Instrument
Grubbs, J. B., Sessoms, J., Wheeler, D. M., & Volk, F. (2010) · Sexual Addiction & Compulsivity · doi:10.1080/10720161003776166 · Cited by 183
The relationship between daily stress, social support and Facebook Addiction Disorder
Brailovskaia, J., Rohmann, E., Bierhoff, H.-W., Schillack, H., & Margraf, J. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.05.014 · Cited by 173
Magni, M., Susan Taylor, M., & Venkatesh, V. (2010) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2010.03.004 · Cited by 173
From attachment to addiction: The mediating role of need satisfaction on social networking sites
Chen, A. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.03.034 · Cited by 169
Gaming Addiction, Gaming Engagement, and Psychological Health Complaints Among Norwegian Adolescents
Brunborg, G. S., Mentzoni, R. A., Melkevik, O. R., Torsheim, T., Samdal, O., Hetland, J., Andreassen, C. S., & Palleson, S. (2013) · Media Psychology · doi:10.1080/15213269.2012.756374 · Cited by 155
La adicción a Internet y al móvil. ¿Moda o trastorno?
Sánchez-Carbonell, X., Beranuy, M., Castellana, M., Chamarro, A., & Oberst, U. (2008) · Adicciones · doi:10.20882/adicciones.279 · Cited by 146
Bőthe, B., Lonza, A., Štulhofer, A., & Demetrovics, Z. (2020) · The Journal of Sexual Medicine · doi:10.1016/j.jsxm.2020.05.030 · Cited by 67
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Chen, Q., Jing, Y., Gong, Y., & Tan, J. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114982 · Cited by 66
Saleem, S., Feng, Y., & Luqman, A. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101584 · Cited by 63
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Lu, J.-D. (., & Lin, J.-S. (. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100198 · Cited by 46
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Metadata
- Authors
- Charlton, J. P.
- Venue
- British Journal of Psychology
- Publisher
- Wiley
- Published
- 2002-08
- Volume
- 93
- Issue
- 3
- Pages
- 329-344
- ISSN
- 0007-1269 (ISSN-L)
- 2044-8295
- OpenAlex
- W1974952842
- Cited by
- 358
- References
- 2
- FWCI
- 15.62
- Type
- journal article
- Language
- en
- Open access
- green
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