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Therefore, rather than slow down the speed of the game (which would likely decrease the pleasure of gambling for those without any problems), gambling operators should utilize gambling tools that promote responsible gambling (Harris and Griffiths 2016) There is now growing empirical evidence that some responsible gambling tools can help decrease the time and money spent playing among individuals who gamble intensely on games with fast speeds of play including pre-commitment tools such as limit-setting features (Auer and Griffiths 2013) and personalised feedback based on actual gambling behaviour (Auer and Griffiths 2015, 2016). Unfortunately, such tools can only be used on those gambling games where playing behaviour can be electronically tracked such as those online and/or those that require a loyalty card or player card to gamble. However, some operators in some countries (such as Norsk Tipping in Norway and Svenske Spel in Sweden) use mandatory player cards that tracks all gambling behaviour both online and offline and such a system could be implemented by other operators in other countries., अरुंडेल कैसीनो. 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. ArticlePubMedGoogle Scholar Auer, M., & Griffiths, M. D. (2015). The use of personalized behavioral feedback for problematic online gamblers: An empirical study. Frontiers in Psychology, 6, 1406. doi:10.3389/fpsyg.2015.01406. PubMedPubMed CentralGoogle Scholar Auer, M., & Griffiths, M. D. (2016). Personalized behavioral feedback for online gamblers: A real world empirical study. Frontiers in Psychology, 7, 1875. doi:10.3389/fpsyg.2016.01875. ArticlePubMedPubMed CentralGoogle Scholar Blaszczynski, A., Cowley, E., Anthony, C., & Hinsley, K. (2016). Breaks in play: Do they achieve intended aims? 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The irrelevancy of game-type in the acquisition, development, and maintenance of problem gambling. Frontiers in Psychology, 3, 621. ArticlePubMedPubMed CentralGoogle Scholar Griffiths, M. D., Wood, R. T. A., Parke, J., & Parke, A. (2006). Dissociative states in problem gambling. In C. Allcock (Ed.), Current issues related to dissociation (pp. 27–37). Melbourne: Australian Gaming Council. Google Scholar Harris, A., & Griffiths, M. D. (2016). Facilitating executive control during within-session gambling: the relationship between gambling event-frequency, motor impulsivity, and impulsive choice. In Nottingham Trent University Post Graduate Research Conference , Nottingham, May 2016. Harris, A., & Parke, A. (2015). Empirical evidence for the differential impact of gambling outcome on behaviour in electronic gambling: Implications for harm-minimisation strategies. Responsible Gambling Review, 1 (2), 10–19. Google Scholar Harris, A., Parke, A., & Griffiths, M. D. (2016). The case for you using personally relevant and emotionally stimulating gambling messages as a gambling harm minimisation tool. International Journal of Mental Health and Addiction . doi:10.1007/s11469-016-9698-7. PubMedPubMed CentralGoogle Scholar Ladouceur, R., & Sévigny, S. (2006). The impact of video lottery game speed on gamblers. Journal of Gambling Issues . doi:10.4309/jgi.2006.17.12. Google Scholar Lesieur, H. R., & Blume, S. B. (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American Journal of Psychiatry, 144 (9), 1184–1188. ArticleCASPubMedGoogle Scholar Linnet, J., Thomsen, K. R., Møller, A., & Callesen, M. B. (2010). Event frequency, excitement and desire to gamble, among pathological gamblers. International Gambling Studies, 10 (2), 177–188. ArticleGoogle Scholar Loba, P., Stewart, S. H., Klein, R. M., & Blackburn, J. R. (2001). Manipulations of the features of standard video lottery terminal (VLT) games: Effects in pathological and non-pathological gamblers. Journal of Gambling Studies, 17 (4), 297–320. ArticleCASPubMedGoogle Scholar Mahmood, O. M., Goldenberg, D., Thayer, R., Migliorini, R., Simmons, A. N., & Tapert, S. F. (2013). Adolescents’ fMRI activation to a response inhibition task predicts future substance use. 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. 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