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Depending on your personal preference, these positives could outweigh the fact that bet365 does not offer a “FREEPLAY” amount like BetMGM or Borgata, or a gas card like Caesars, which in the grand scheme of things is negligible a difference if you favor the bet365 brand. If you’re looking to sign up with bet365, take advantage of their 100% deposit match up to $1,000 offer using code ACTION . Available States. bet365 Promo. Another factor potentially driving the inconsistent findings is the nature of the speed of play manipulation in this body of research As a case example, the ‘fast’ speed of play condition in Ladouceur and Sevigny’s (2006) experimental study consisted of a five-second event frequency, whereas this would not even qualify as the slow condition in both Mentzoni et al.’s. (2012) and Linnet et al.’s. (2010) experiments, and only matched the speed of the slow condition in Delfabbro, Falzon, and Ingram’s (2005) experiment. This has important implications in the way results are interpreted and reported. It may be more beneficial for research findings to be interpreted in terms of the event frequency itself (measured in seconds, for example), rather than any subjective interpretation of what makes for a ‘fast’ or ‘slow’ condition. This way, results can be standardised and made to be more comparable across studies, and also has the added advantage of helping to ascertain speed thresholds where self-control becomes facilitated or degraded. It would also be advisable for speed manipulations to be anchored and manipulated proportionally around industry standard event frequencies, which occur approximately every three seconds on EGMs, allowing event frequency speed results to be assessed against existing industry benchmarks. Furthermore, there are relatively few studies that manipulate speed comparable to the faster pace of games found on online gambling platforms, emphasising the need for investigations evaluating the impact of both decreases and increases in speed of play., betting tv. There is also the argument that the impact of speed of play may not be immediately visible by assessing direct and overt gambling behaviour in some cases. The impact may be more subtle, and not captured within a relatively short experimental session, where the effects of speed on behaviour may take impact over a more sustained period of time by influencing executive functions vital for self-control not assessed in these studies. For example, these studies did not assess core executive functions such as response inhibition, reflection impulsivity, or response modulation, functions which act as the antithesis to a more impulsive style of response, and functions that act as predictors of risk-taking behaviours (Mahmood et al. 2013). Emerging evidence has demonstrated that executive control capabilities can be influenced by structural characteristics in a gambling context, characteristics that include stake size (Parke et al. 2015), as well as speed of play (Harris and Griffiths 2016). Furthermore, evidence suggests that facilitating response inhibition in a gambling context leads to a preference for less risky gambling-related decisions (Verbruggen et al. 2012). The present review identified just one study utilising a qualitative self-report approach, the findings from which supported the empirical studies in which gamblers frequently report a preference and increased levels of enjoyment in games with high event frequencies. Obtaining first-person perspectives may offer fruitful information not otherwise available to gambling harm-minimisation research studies via the experimental method. Interviews and focus groups may provide insights into alternative ways of facilitating self-control during gambling, without excessively slowing down the speed of the game, which has been shown to have a consistent detrimental impact on the enjoyment of gambling. For example, gamblers report the need for ‘a constant fix’, so one avenue of exploration may be to find ways of providing breaks in play to facilitate self-control and allow for response modulation, but whist simultaneously making the time between gambling entertaining, such as the use of non-gambling mini-games. It is also advisable that gamblers are involved in the design process of such measures, much the same way that gambling focus groups were used to help create persuasive system designs to facilitate monetary limit adherence tools in a study conducted by Wohl et al. (2014). Conclusions. Despite much reference to problem gambling being associated with games with high event frequencies (e.g., EGMs), research actually investigating the impact of speed of play on gamblers is in its relative infancy. The majority of the limited empirical evidence points towards the notion that games that have a faster speed of play are more enjoyable and desirable by an array of gamblers, but that this comes at the cost of impaired self-control. The increased number of bets placed, increased time spent gambling, and the reduced ability or willingness to stop gambling during fast games, appears particularly applicable to, but not limited to, problem gamblers, suggesting close attention should be paid towards implementing measures to facilitate self-control during rapid forms of gambling. Slowing down game speed has shown some (but inconsistent) support for reducing risk-taking and facilitating self-control, although evidence suggests this would likely reduce gambling enjoyment and detract from the experience of gambling. As a result, potential perverse and unintended consequences may result from slowing game speeds, in the form of compensatory behaviours or a migration to other products. For example, if game speed is slowed, this may result in gamblers making higher volume bets to compensate for the reduced event frequency, or playing multiple products simultaneously to essentially allow for the same volume of gambling in the same period of time. Alternatively, slowing game speed on EGMs may result in gamblers migrating to online forms of gambling, where speeds of play can be much faster, and where the online environment itself can give rise to increased risk-taking and reduced inhibitions (Suler 2004). As an alternative, researchers should investigate ways of implementing harm-minimisation tools that have the effect of making gambling safer by facilitating self-control, but that are less conducive to detracting from the overall enjoyment and experience of gambling such as slowing game speeds. One possibility mentioned is the use of non-gambling mini-games during breaks in play to both provide a chance to take a break and modulate behaviour, but maintain entertainment levels. Existing research also suggests that while breaks in play in isolation may be detrimental to gambling behaviour by increasing cravings and negative subjecting emotion (Blaszczynski et al. 2016), when breaks are accompanied by responsible gambling messages that are not overly paternalistic and allow gamblers to engage in self-appraisal (Monaghan and Blaszczynski 2010), or allow a gambler to focus on external emotional factors (Harris et al. 2016), gambling behaviour is shaped more positively. 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. 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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Associations between sensitivity to punishment, sensitivity to reward and gambling. Addictive Behaviors, 42, 180–184. ArticlePubMedGoogle Scholar Goudriaan, A. E., Oosterlaan, J., de Beurs, E., & van der Brink, W. (2004). Pathological gambling: A comprehensive review of biobehavioral findings. Neuroscience and Biobehavioral Reviews, 28, 123–141. ArticlePubMedGoogle Scholar Gray, J. A. (1970). The psychophysiological basis of introversion–extraversion. Behavioral Research Therapy, 8, 249–266. ArticleCASGoogle Scholar Gray, J. A. (1981). A critique of Eysenck’s theory of personality. In H. J. Eysenck (Ed.), A model for personality (pp. 246–276). Berlin: Springer. ChapterGoogle Scholar Gray, J. A. (1991). Neural systems, emotion, and personality. In J. Madden IV (Ed.), Neurobiology of learning, emotion, and affect (pp. 273–306). New York: Raven Press. Google Scholar Griffiths, M. D. (1993). Fruit machine gambling: The importance of structural characteristics. Journal of Gambling Studies, 9, 101–120. ArticleGoogle Scholar Griffiths, M. D. (1994). The role of cognitive bias and skill in fruit machine gambling. British Journal of Psychology, 85, 351–369. ArticleGoogle Scholar Griffiths, M. D. (1999). The observational study of adolescent gambling in UK amusement arcades. Journal of Community & Applied Social Psychology, 1, 309–320. ArticleGoogle Scholar Griffiths, M. D. (2008). Impact of high-stake, high-prize, gaming machines on problem gambling: Overview of research findings . Birmingham: Gambling Commission. Google Scholar Griffiths, M. D., & Auer, M. (2013). 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. (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.

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