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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. 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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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