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Finally, further research is required to ascertain the psychological mechanisms that mediate the relationship between speed of play and overt gambling behaviour. It is possible that the total impact of high event frequencies on the gambler is not immediately captured within short, single-session experimental procedures (which is why, as mentioned above, longitudinal research is needed), or that it is not immediately observable using overt gambling behaviour. What may be required is the use of proxy measures deemed essential for the application of self-control, particularly relevant in a gambling context. Such measures may include core executive functions that act as the antithesis to impulsivity, for example response inhibition and response modulation. References. Auer, M., & Griffiths, M. D. (2013). Voluntary limit setting and player choice in most intense online gamblers: An empirical study of gambling behaviour. Journal of Gambling Studies, 29, 647–660. 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Addictive Behaviours, 38, 1435–1441. ArticleCASGoogle Scholar McCormack, A., & Griffiths, M. D. (2013). A scoping study of the structural and situational characteristics of internet gambling. International Journal of Cyber Behavior, Psychology and Learning, 3 (1), 29–49. ArticleGoogle Scholar Mentzoni, R. A., Laberg, J. C., Brunborg, G. S., Molde, H., & Pallesen, S. (2012). Tempo in electronic gambling machines affects behaviour among at risk gamblers. Journal of Behavioural Addictions, 1, 135–139. ArticleGoogle Scholar Meyer, G., Hayer, T., & Griffiths, M. D. (2009). Problem gambling in Europe: Challenges, prevention, and interventions . New York: Springer. Google Scholar Monaghan, S., & Blaszczynski, A. (2010). Electronic gaming machine warning messages: Information versus self-evaluation. Journal of Psychology, 144, 83–96. ArticlePubMedGoogle Scholar Newman, J. P., Patterson, C. M., & Kosson, D. S. (1987). Response perseveration in psychopaths. Journal of Abnormal Psychology, 96, 145–148. ArticleCASPubMedGoogle Scholar Norman, D. A., & Shallice, T. (1986). Attention to Action. In R. J. Davidson, G. E. Schwartz, & D. Shapiro (Eds.), Consciousness and self-regulation (pp. 1–18). New York: Springer. Google Scholar Parke, J., & Griffiths, M. D. (2006). The psychology of the fruit machine: The role of structural characteristics (revisited). International Journal of Mental Health and Addiction, 4, 151–179. ArticleGoogle Scholar Parke, J., & Griffiths, M. D. (2007). The role of structural characteristics in gambling. In G. Smith, D. Hodgins, & R. Williams (Eds.), Research and measurement issues in gambling studies (pp. 211–243). New York: Elsevier. Google Scholar Parke, A., Harris, A., Parke, J., & Goddard, P. (2015). Understanding within-session loss-chasing: An experimental investigation of the impact of stake size on cognitive control. Journal of Gambling Studies, 32, 1–15. Google Scholar Pickering, A. D., & Gray, J. A. (1999). The neuroscience of personality. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and Research (2nd ed., pp. 277–299). New York: Guilford Press. Google Scholar Sharpe, L., Walker, M., Coughlan, M. J., Enersen, K., & Blaszczynski, A. (2005). Structural changes to electronic gaming machines as effective harm minimization strategies for non-problem and problem gamblers. Journal of Gambling Studies, 21, 503–520. ArticlePubMedGoogle Scholar Suler, J. (2004). The online disinhibition effect. CyberPsychology & Behavior, 7, 321–326. ArticleGoogle Scholar Thompson, S. J., & Corr, P. J. (2013). A feedback-response pause normalises response perseveration deficits in pathological gamblers. International Journal of Mental Health and Addiction, 11, 601–610. ArticleGoogle Scholar Thompson, M., Hollings, P., & Griffiths, M. D. (2009). Qualitative study into machine gamblers . Birmingham: Gambling Commission. Google Scholar Turner, N. E., & Horbay, R. (2004). How do slot machines and other electronic gambling machines actually work? Journal of Gambling Issues, 11, 10–50. Google Scholar Verbruggen, F., Adams, R., & Chambers, C. D. (2012). Proactive motor control reduces monetary risk taking in gambling. Psychological Science, 23, 805–815. ArticlePubMedPubMed CentralGoogle Scholar Wohl, M. J., Parush, A., Kim, H. S., & Warren, K. (2014). Building it better: Applying human–computer interaction and persuasive design principles to a monetary limit tool improves responsible gambling. Computers in Human Behaviour, 37, 124–132. ArticleGoogle Scholar. Funding. The authors received no specific funding support for this work. However, the Mark D. Griffiths has received funding for a number of research projects in the area of gambling education for young people, social responsibility in gambling, and gambling treatment from the Responsibility in Gambling Trust, a charitable body which funds its research programme based on donations from the gambling industry.Both authors have undertaken consultancy for various gaming companies in the area of social responsibility. Andrew Harris has previously worked full time as research assistant for the Responsible Gambling Trust (RGT), a charitable body which funds its research programme based on donations from the gambling industry, a charity who’s goals are directed towards funding research in the prevention of problem gambling as well as funding problem gambling treatment. This paper was written as part of Andrew’s PhD studies at Nottingham Trent University, and is no way connected to his previous role at the RGT, or his current part time research position with the RGT. 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