Journal of Gambling Studies

, Volume 31, Issue 1, pp 183–196 | Cite as

Using Sound to Unmask Losses Disguised as Wins in Multiline Slot Machines

  • Mike J. Dixon
  • Karen Collins
  • Kevin A. Harrigan
  • Candice Graydon
  • Jonathan A. Fugelsang
Original Paper

Abstract

Losses disguised as wins (LDWs) are slot machine outcomes where participants bet on multiple lines and win back less than their wager. Despite losing money, the machine celebrates these outcomes with reinforcing sights and sounds. Here, we sought to show that psychophysically and psychologically, participants treat LDWs as wins, but that we could expose LDWs as losses by using negative sounds as feedback. 157 participants were allocated into one of three conditions: a standard sound condition where LDWs, despite being losses, are paired with winning sights and sounds; a silent condition, where LDWs are paired with silence; and a negative sound condition where LDWs and regular losses are both followed by a negative sound. After viewing a paytable, participants conducted 300 spins on a slot machine simulator while heart rate deceleration (HRD) and skin conductance responses (SCRs) were monitored. Participants were then shown 20 different spin outcomes including LDWs and asked whether they had won or lost on that outcome. Participants then estimated on how many spins (out of 300) they won more than they wagered. SCRs were similar for losses and LDWs (both smaller than actual wins). HRD, however, was steeper for both wins and LDWs, compared to losses. In the standard condition, a majority of participants (mis)categorized LDWs as wins, and significantly overestimated the number of times they actually won. In the negative sound condition, this pattern was reversed; most participants correctly categorized LDWs as losses, and they gave high-fidelity win estimates. We conclude that participants both think and physiologically react to LDWs as though they are wins, a miscategorization that misleads them to think that they are winning more often than they actually are. Sound can be used to effectively prevent this misconception and unmask the disguise of LDWs.

Keywords

Slot machines Losses disguised as wins Skin conductance responses Heart rate deceleration Sounds Categorization 

References

  1. Anderson, G., & Brown, R. I. T. (1984). Real and laboratory gambling, sensation-seeking and arousal. British Journal of Psychology, 75, 401–410. doi:10.1111/j.2044-8295.1984.tb01910.x.CrossRefPubMedGoogle Scholar
  2. Clark, L., Crooks, B., Clarke, R., Aitken, M. R. F., & Dunn, B. D. (2011). Physiological responses to near miss outcomes and personal control during simulated gambling. Journal of Gambling Studies, 28, 123–137.CrossRefGoogle Scholar
  3. Collins, K., & Tagg, P. (2001). The sonic aesthetics of the industrial: re-constructing yesterday’s soundscape for today’s alienation and tomorrow’s dystopia. In John Drever (Ed.), Sound practice (pp. 101–108). UK: UK/Ireland Soundscape Community.Google Scholar
  4. Dawson, M. E., Schell, A. M., & Filion, D. L. (2000). The electrodermal system. New York, NY, US: Cambridge University Press, New York, NY. Retrieved from http://search.proquest.com/docview/619462720?accountid=14391.
  5. Dixon, M. J., Harrigan, K. A., Sandhu, R., Collins, K., & Fugelsang, J. A. (2010). Losses disguised as wins in modern multi-line video slot machines. Addiction, 105, 1819–1824. doi:10.1111/j.1360-0443.2010.03050.x.CrossRefPubMedGoogle Scholar
  6. Dixon, M. J., Harrigan, K. A., Jarick, M., MacLaren, V. V., Fugelsang, J. A., & Sheepy, E. (2011). Psychophysical arousal signatures of near-misses in slot machine play. International Gambling Studies, 11, 393–407. doi:10.1080/14459795.2011.603134.CrossRefGoogle Scholar
  7. Dixon, M. J., Harrigan, K. A., Santesso, D.L, Graydon, C., Fugelsang, J. A., & Collins, K. (2013). The impact of sound in modern multiline video slot machine play. Journal of Gambling Studies, published online. doi:10.1007/s10899-013-9391-8.
  8. Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: Final report. Ottawa: Canadian Centre on Substance Abuse.Google Scholar
  9. Griffiths, M. & Parke, J. (2005). The psychology of music in gambling environments: An observational research note. Journal of Gambling Issues, 13. doi:10.4309/jgi.2005.13.8.
  10. Harrigan, K. A., Dixon, M. J., MacLaren, V., Collins, K., & Fugelsang, J. (2012). The maximum rewards at the minimum price: Reinforcement rates and payback percentages in multi-line slot machines. Journal of Gambling Issues, 26, 11–29. doi:10.4309/jgi.2011.26.3.CrossRefGoogle Scholar
  11. IJsselsteijn, W., Poels, K., & de Kort, Y. A. W. (2008). The Game Experience Questionnaire: Development of a self-report measure to assess participant experiences of digital games. Eindhoven: TU Eindhoven.Google Scholar
  12. Jensen, C., Dixon, M. J., Harrigan, K. A., Sheepy, E., Fugelsang, J. A., & Jarick, M. (2012). Misinterpreting “winning” in multiline slot machine games. International Gambling Studies. doi:10.1080/14459795.2012.717635.
  13. Lole, L., Gonsalvez, C. J., Blaszczynski, A., & Clarke, A. R. (2011). Electrodermal activity reliably captures physiological differences between wins and losses during gambling on electronic machines. Psychophysiology, 49, 154–163. doi:10.1111/j.1469-8986.2011.01290.x.CrossRefPubMedGoogle Scholar
  14. Rockloff, M. J., Greer, N., & Fay, C. (2011). The social contagion of gambling: How venue size contributes to player losses. Journal of Gambling Studies, 27, 487–497.CrossRefPubMedGoogle Scholar
  15. Van Selst, M., & Jolicoeur, P. (1994). A solution to the effect of sample size on outlier elimination. The Quarterly Journal of Experimental Psychology A: Human Experimental Psychology, 47, 631–665.CrossRefGoogle Scholar
  16. Wilkes, B., Gonsalvez, C., & Blaszczynski, A. (2009). Psychophysiological response to wins and loss event types during electronic gambling: A pilot investigation. Gambling Research, 21, 22–34.Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Mike J. Dixon
    • 1
  • Karen Collins
    • 1
  • Kevin A. Harrigan
    • 1
  • Candice Graydon
    • 1
  • Jonathan A. Fugelsang
    • 1
  1. 1.University of WaterlooWaterlooCanada

Personalised recommendations