Journal of Gambling Studies

, Volume 31, Issue 4, pp 1531–1543 | Cite as

Exposure to Free-Play Modes in Simulated Online Gaming Increases Risk-Taking in Monetary Gambling

Original Paper

Abstract

This study examined the behavioral effects of practice modes in simulated slot machine gambling. A sample of 128 participants predominantly aged 18–24 years were randomly allocated to 1 of 4 pre-exposure conditions: control (no practice), standard 90 % return to player, inflated return to player and inflated return with pop-up messages. Participants in all conditions engaged in monetary gambling using a realistic online simulation of a slot machine. As predicted, the results showed that those players exposed to inflated or ‘profit’ demonstration modes placed significantly higher bets in the real-play mode as compared to the other groups. However, the groups did not differ in relation to how long they persisted in the real-play mode. Pop-up messages had no significant effect on monetary gambling behavior. The results of this study confirm that exposure to inflated practice or “demo” modes lead to short-term increases in risk-taking. These findings highlight the need for careful regulation and monitoring of internet gambling sites, as well as further research on the potential risks of simulated gambling activities for vulnerable segments of the gambling population.

Keywords

Internet gambling Payout rates Pathological gambling Slot machines 

References

  1. Bednarz, J., Delfabbro, P. H., & King, D. L. (2013). Practice makes poorer: Practice gambling modes and their effects on real-play in simulated roulette. International Journal of Mental Health and Addiction, 11, 381–395.Google Scholar
  2. Delfabbro, P. H., & King, D. L. (2012). Gambling experiences, problems, research and policy: Gambling in Australia. Addiction, 107, 1555–1561.CrossRefGoogle Scholar
  3. Derevensky, J. L., & Gupta, R. (2007). Internet gambling amongst adolescents: A growing concern. International Journal of Mental Health and Addiction, 5, 93–101.CrossRefGoogle Scholar
  4. Derevensky, J., Sklar, A., Gupta, R., & Messerlian, C. (2010). An empirical study examining the impact of gambling advertisements on adolescent gambling attitudes and behaviors. International Journal of Mental Health Addiction, 8, 21–34.CrossRefGoogle Scholar
  5. Dowling, N., Smith, D., & Thomas, T. (2005). Electronic gambling machines: Are they the ‘crack cocaine’ of gambling? Addiction, 100, 33–45.CrossRefPubMedGoogle Scholar
  6. Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: user’s manual. Toronto (ON): Canadian centre on substance abuse. Retrieved from http://www.ccsa.ca/Pages/Splash.htm.
  7. Gainsbury, S. (2010). Response to the productivity commission inquiry report into gambling: Online gaming and the interactive gambling act. Gambling Research, 22, 3–12.Google Scholar
  8. Griffiths, M. D. (1999). Gambling technologies: Prospects for problem gambling. Journal of Gambling Studies, 15, 265–283.CrossRefPubMedGoogle Scholar
  9. Griffiths, M. D., King, D. L., & Delfabbro, P. H. (2009). Adolescent gambling-like experiences: Are they a cause for concern? Education and Health, 27, 27–30.Google Scholar
  10. Griffiths, M., & Parke, J. (2010). Adolescent gambling on the internet: A review. International Journal of Adolescent Medicine and Health, 22, 59–75.PubMedGoogle Scholar
  11. Griffiths, M., & Wood, R. (2000). Risk factors in adolescence: The case of gambling, videogame playing and the Internet. Journal of Gambling Studies, 16, 199–225.CrossRefPubMedGoogle Scholar
  12. Hardoon, K. K., & Derevensky, J. L. (2002). Child and adolescent gambling behaviour: Current knowledge. Clinical Child Psychology and Psychiatry, 7, 263–281.CrossRefGoogle Scholar
  13. Ipsos MORI. (2009). British survey of children, the National Lottery and Gambling 20082009: Report of a quantitative survey. Retrieved from http://www.natlotcomm.gov.uk/assetsuploaded/documents/Children%20and%20gambling%20FINAL%20VERSION%20140709.pdf.
  14. King, D. L., Delfabbro, P. H., Derevensky, J. L., & Griffiths, M. D. (2012). A review of Australian classification practices for commercial video games featuring simulated gambling. International Gambling Studies, 12, 231–242.CrossRefGoogle Scholar
  15. King, D. L., Delfabbro, P., & Griffiths, M. (2010). The convergence of gambling and digital media: Implications for gambling in young people. Journal of Gambling Studies, 26, 175–187.CrossRefPubMedGoogle Scholar
  16. King, D. L., Delfabbro, P. H., Kaptsis, D., & Zwaans, T. (2014). Adolescent simulated gambling via digital and social media: An emerging problem. Computers in Human Behavior, 31, 305–313.Google Scholar
  17. Ladd, G. T., & Petry, N. M. (2002). Disordered gambling among university-based medical and dental patients: A focus on Internet gambling. Psychology of Addictive Behaviours, 16, 76–79.CrossRefGoogle Scholar
  18. MacLin, O. H., Dixon, M. R., Daugherty, D., & Small, S. L. (2007). Using a computer simulation of three slot machines to investigate a gambler’s preference among varying densities of near-miss alternatives. Behavior Research Methods, 39, 237–241.CrossRefPubMedGoogle Scholar
  19. McBride, J., & Derevensky, J. (2009). Internet gambling behaviour in a sample of online gamblers. International Journal of Mental Health and Addiction, 7, 149–167.CrossRefGoogle Scholar
  20. McMullan, J., & Kervin, M. (2012). Selling Internet gambling: Advertising, new media and the content of poker promotion. International Journal of Mental Health Addiction, 10, 622–645.CrossRefGoogle Scholar
  21. McMullan, J. L., Miller, D. E., & Perrier, D. C. (2012). “I’ve seen them so much they are just there”: Exploring young people’s perceptions of gambling in advertising. International Journal of Mental Health and Addiction, 10, 829–848.CrossRefGoogle Scholar
  22. Monaghan, S., Derevensky, J., & Sklar, A. (2008). Impact of gambling advertisements and marketing on children and adolescents: Policy recommendations to minimize harm. Journal of Gambling Issues, 22, 252–274.CrossRefGoogle Scholar
  23. Novemsky, N., & Kahneman, D. (2005). How do intentions affect loss aversion? Journal of Marketing Research, 42, 139–140.CrossRefGoogle Scholar
  24. Peller, A. J., LaPlante, D. A., & Shaffer, H. J. (2008). Parameters for safer gambling behaviour: Examining the empirical research. Journal of Gambling Studies, 24, 519–534.CrossRefPubMedGoogle Scholar
  25. Productivity Commission (2010). Gambling. (50). Canberra: AusInfo. Retrieved from http://www.pc.gov.au/gsp/rogs/2010.
  26. Sevigny, S., Cloutier, M., Pelletier, M. F., & Ladouceur, R. (2005). Internet gambling: misleading payout rates during the “demo” period. Computers in Human Behaviour, 21, 153–158.CrossRefGoogle Scholar
  27. Tverksy, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5, 297–323.CrossRefGoogle Scholar
  28. Volberg, R., Gupta, R., Griffiths, M. D., Olasson, D., & Delfabbro, P. H. (2010). An international perspective on youth gambling prevalence studies. International Journal of Adolescent Medicine and Health, 22, 3–38.PubMedGoogle Scholar
  29. Walker, M. B. (1992). Irrational thinking among slot machine players. Journal of Gambling Studies, 8, 245–288.CrossRefPubMedGoogle Scholar
  30. Weatherly, J. N., & Brandt, A. E. (2004). Participants’ sensitivity to percentage payback and credit value when playing a slot-machine simulation. Behaviour and Social Issues, 13, 33–50. Retrieved from http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/bsi.
  31. Wood, R., & Williams, R. (2007). Problem gambling on the internet: Implications for internet gambling policy in North America. New Media Society, 9, 520–542.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.School of PsychologyUniversity of AdelaideAdelaideAustralia

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