The Psychological and Behavioral Mechanisms of Online Gambling Game Addiction: A Comparative Study of Cognitive Biases, Reward Systems, and Intervention Strategies
##plugins.themes.academic_pro.article.main##
Abstract
This study investigates the psychological and behavioral mechanisms underpinning online gambling addiction among university students, with a focus on cognitive biases, reinforcement schedules, and intervention strategies. The primary aim was to assess how cognitive biases, specifically the illusion of control and gamblers' fallacy, affect gambling behavior and to evaluate the effectiveness of various intervention methods. Utilizing a quantitative research design, the study surveyed 300 university students from the Punjab region engaged in online gambling. Data were collected through structured online questionnaires that measured cognitive biases, reinforcement schedules, and perceptions of intervention strategies, using validated scales for cognitive biases, variable ratio reinforcement schedules, immediate feedback, and the effectiveness of Cognitive-Behavioral Therapy (CBT), self-exclusion programs, and technological monitoring tools. Reliability was ensured through Cronbach’s alpha analysis. The results demonstrated that cognitive biases such as the illusion of control and gamblers' fallacy significantly contribute to increased gambling behavior. Reinforcement schedules and immediate feedback were found to strongly enhance gambling behavior. Intervention strategies revealed that technological monitoring tools and self-exclusion programs were effective in reducing gambling behaviors, whereas CBT did not show a significant impact, indicating a need for refinement or alternative approaches. These findings underscore the importance of understanding psychological mechanisms and the efficacy of interventions, suggesting that a combination of effective strategies and improved CBT methods are essential for developing comprehensive solutions to gambling addiction.
##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
- Berridge, K. C. (2007). The debate over dopamine’s role in reward: the case for incentive salience. Psychopharmacology, 191, 391-431. DOI: https://doi.org/10.1007/s00213-006-0578-x
- Blum, R. D., Mould, J., Olsen, K., Frogel, J., Werner, M., Meixner, M., Markwick-Kemper, F., Indebetouw, R., Whitney, B., & Meade, M. (2006). Spitzer SAGE survey of the Large Magellanic Cloud II: Evolved Stars and Infrared Color Magnitude Diagrams. arXiv preprint astro-ph/0608189. DOI: https://doi.org/10.1086/508227
- Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and brain sciences, 36(3), 181-204. DOI: https://doi.org/10.1017/S0140525X12000477
- Clark, L. A. (2009). Stability and change in personality disorder. Current directions in psychological science, 18(1), 27-31. DOI: https://doi.org/10.1111/j.1467-8721.2009.01600.x
- Clotfelter, C. T., & Cook, P. J. (1993). The “gambler's fallacy” in lottery play. Management Science, 39(12), 1521-1525. DOI: https://doi.org/10.1287/mnsc.39.12.1521
- Croson, R., Fox, M., & Sundali, J. (2009). Behavioral and brain measures of risk-taking. Gambling: Mapping the American moral landscape, 291-297.
- Croson, R., & Sundali, J. (2005). The gambler’s fallacy and the hot hand: Empirical data from casinos. Journal of risk and uncertainty, 30, 195-209. DOI: https://doi.org/10.1007/s11166-005-1153-2
- Dixon, L., Li, J., Sorensen, J., Thain, N., & Vasserman, L. (2018). Measuring and mitigating unintended bias in text classification. Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, DOI: https://doi.org/10.1145/3278721.3278729
- Dong, Y., Liu, X., Santosh, M., Chen, Q., Zhang, X., Li, W., He, D., & Zhang, G. (2012). Neoproterozoic accretionary tectonics along the northwestern margin of the Yangtze Block, China: constraints from zircon U–Pb geochronology and geochemistry. Precambrian Research, 196, 247-274. DOI: https://doi.org/10.1016/j.precamres.2011.12.007
- Dong, Y., & Nestler, E. J. (2014). The neural rejuvenation hypothesis of cocaine addiction. Trends in pharmacological sciences, 35(8), 374-383. DOI: https://doi.org/10.1016/j.tips.2014.05.005
- Gainsbury, S., Hing, N., & Suhonen, N. (2014). Professional help-seeking for gambling problems: Awareness, barriers and motivators for treatment. Journal of Gambling Studies, 30, 503-519. DOI: https://doi.org/10.1007/s10899-013-9373-x
- Gainsbury, S. M., Abarbanel, B., & Blaszczynski, A. (2020). The relationship between in-play betting and gambling problems in an Australian context of prohibited online in-play betting. Frontiers in psychiatry, 11, 574884. DOI: https://doi.org/10.3389/fpsyt.2020.574884
- Gainsbury, S. M., Russell, A. M., King, D. L., Delfabbro, P., & Hing, N. (2016). Migration from social casino games to gambling: Motivations and characteristics of gamers who gamble. Computers in Human Behavior, 63, 59-67. DOI: https://doi.org/10.1016/j.chb.2016.05.021
- Gainsbury, S. M., Suhonen, N., & Saastamoinen, J. (2014). Chasing losses in online poker and casino games: Characteristics and game play of Internet gamblers at risk of disordered gambling. Psychiatry research, 217(3), 220-225. DOI: https://doi.org/10.1016/j.psychres.2014.03.033
- Gerrard, M., Gibbons, F. X., Houlihan, A. E., Stock, M. L., & Pomery, E. A. (2008). A dual-process approach to health risk decision making: The prototype willingness model. Developmental review, 28(1), 29-61. DOI: https://doi.org/10.1016/j.dr.2007.10.001
- Goldstein, R. Z., & Volkow, N. D. (2011). Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nature reviews neuroscience, 12(11), 652-669. DOI: https://doi.org/10.1038/nrn3119
- Griffiths, A. D., Williams, S. C., Hartley, O., Tomlinson, I., Waterhouse, P., Crosby, W. L., Kontermann, R., Jones, P., Low, N., & Allison, T. a. (1994). Isolation of high affinity human antibodies directly from large synthetic repertoires. The EMBO journal, 13(14), 3245-3260. DOI: https://doi.org/10.1002/j.1460-2075.1994.tb06626.x
- Harris, A., & Jones, M. (2020). COVID 19–school leadership in disruptive times. In (Vol. 40, pp. 243-247): Taylor & Francis. DOI: https://doi.org/10.1080/13632434.2020.1811479
- Hodgins, D. C., Currie, S. R., Currie, G., & Fick, G. H. (2009). Randomized trial of brief motivational treatments for pathological gamblers: More is not necessarily better. Journal of consulting and clinical psychology, 77(5), 950. DOI: https://doi.org/10.1037/a0016318
- Hodgins, D. C., Stea, J. N., & Grant, J. E. (2011). Gambling disorders. The Lancet, 378(9806), 1874-1884. DOI: https://doi.org/10.1016/S0140-6736(10)62185-X
- Joukhador, J., Blaszczynski, A., & Maccallum, F. (2004). Superstitious beliefs in gambling among problem and non-problem gamblers: Preliminary data. Journal of Gambling Studies, 20, 171-180. DOI: https://doi.org/10.1023/B:JOGS.0000022308.27774.2b
- King, A. C., Whitt-Glover, M. C., Marquez, D. X., Buman, M. P., Napolitano, M. A., Jakicic, J., Fulton, J. E., & Tennant, B. L. (2019). Physical activity promotion: highlights from the 2018 physical activity guidelines advisory committee systematic review. Medicine and science in sports and exercise, 51(6), 1340. DOI: https://doi.org/10.1249/MSS.0000000000001945
- Ladouceur, R., Sylvain, C., Letarte, H., Giroux, I., & Jacques, C. (1998). Cognitive treatment of pathological gamblers. Behaviour research and therapy, 36(12), 1111-1119. DOI: https://doi.org/10.1016/S0005-7967(98)00086-2
- Langer, E. J. (1975). The illusion of control. Journal of personality and social psychology, 32(2), 311. DOI: https://doi.org/10.1037//0022-3514.32.2.311
- Langer, E. J., & Roth, J. (1975). Heads I win, tails it's chance: The illusion of control as a function of the sequence of outcomes in a purely chance task. Journal of personality and social psychology, 32(6), 951. DOI: https://doi.org/10.1037//0022-3514.32.6.951
- Leung, L. (2004). Net-generation attributes and seductive properties of the internet as predictors of online activities and internet addiction. Cyberpsychology & behavior, 7(3), 333-348. DOI: https://doi.org/10.1089/1094931041291303
- Nickerson, R. S. (1998). Confirmation bias: A ubiquitous phenomenon in many guises. Review of general psychology, 2(2), 175-220. DOI: https://doi.org/10.1037//1089-2680.2.2.175
- O'Leary, M., Manning, M., O'Brien, K., O'Neill, M. D., & Macardle, D. (2022). Plays by Women in Ireland (1926-33): Feminist Theatres of Freedom and Resistance.
- Peters, J., LaLumiere, R. T., & Kalivas, P. W. (2008). Infralimbic prefrontal cortex is responsible for inhibiting cocaine seeking in extinguished rats. Journal of Neuroscience, 28(23), 6046-6053. DOI: https://doi.org/10.1523/JNEUROSCI.1045-08.2008
- Skinner, B. F. (1953). Some contributions of an experimental analysis of behavior to psychology as a whole. American Psychologist, 8(2), 69. DOI: https://doi.org/10.1037/h0054118
- Skinner, B. F. (1957). The experimental analysis of behavior. American scientist, 45(4), 343-371.
- Skinner, B. F. (1963). Operant behavior. American Psychologist, 18(8), 503. DOI: https://doi.org/10.1037/h0045185
- Suurvali, H., Hodgins, D., Toneatto, T., & Cunningham, J. (2008). Treatment seeking among Ontario problem gamblers: Results of a population survey. Psychiatric services, 59(11), 1343-1346. DOI: https://doi.org/10.1176/ps.2008.59.11.1343
- Svenaeus, F. (2014). Diagnosing mental disorders and saving the normal: American Psychiatric Association, 2013. Diagnostic and statistical manual of mental disorders, American Psychiatric Publishing: Washington, DC. 991 pp., ISBN: 978-0890425558. Price: $122.70. Medicine, Health Care and Philosophy, 17, 241-244. DOI: https://doi.org/10.1007/s11019-013-9529-6
- Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science, 185(4157), 1124-1131. DOI: https://doi.org/10.1126/science.185.4157.1124
- Wohl, E., Barros, A., Brunsell, N., Chappell, N. A., Coe, M., Giambelluca, T., Goldsmith, S., Harmon, R., Hendrickx, J. M., & Juvik, J. (2012). The hydrology of the humid tropics. Nature Climate Change, 2(9), 655-662. DOI: https://doi.org/10.1038/nclimate1556
- Zhang, G., Zhang, Y., Dong, J., & Xiao, X. (2013). Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011. Proceedings of the National Academy of Sciences, 110(11), 4309-4314. DOI: https://doi.org/10.1073/pnas.1210423110