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(4), 647–660
PubMed
Article
Google Scholar
Auer, M., Malischnig, D., & Griffiths, M. D. (2014). Is ‘pop-up’ messaging in online slot machine gambling effective as a responsible gambling strategy? An empirical re-search note. Journal of Gambling Issues, 29, 1–10
Article
Google Scholar
Auer, M., & Griffiths, M. D. (2015). Testing normative and self-appraisal feedback in an online slot-machine pop-up message in a real-world setting. Frontiers in Psychology, 6, 339
PubMed
PubMed Central
Google Scholar
Auer, M., Hopfgartner, N., & Griffiths, M. D. (2019a). An empirical study of the effect of voluntary limit-setting on gamblers’ loyalty using behavioural tracking data. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-019-00166-2. Advance online publication
Article
Google Scholar
Auer, M., Hopfgartner, N., & Griffiths, M. D. (2019b). The effects of a mandatory play break on subsequent gambling among Norwegian video lottery terminal players. Journal of Behavioral Addictions, 8(3), 522–529
PubMed
PubMed Central
Article
Google Scholar
Auer, M., Hopfgartner, N., & Griffiths, M. D. (2020a). The effects of voluntary deposit limit-setting on long-term online gambling behavior. Cyberpsychology, Behavior and Social Networking, 23, 113–118
PubMed
Article
Google Scholar
Auer, M., Reiestad, S. H., & Griffiths, M. D. (2020b). Global limit setting as a responsible gambling tool: What do players think? International Journal of Mental Health and Addiction, 18(1), 14–26
Article
Google Scholar
Blaszczynski, A., Cowley, E., Anthony, C., & Hinsley, K. (2015). Breaks in play: Do they achieve intended aims? Journal of Gambling Studies, 32(2), 789–800
Article
Google Scholar
Campbell-Meiklejohn, D. K., Woolrich, M. W., Passingham, R. E., & Rogers, R. D. (2008). Knowing when to stop: the brain mechanisms of chasing losses. Biological Psychiatry, 63(3), 293–300
PubMed
Article
Google Scholar
Challet-Bouju, G., Hardouin, J. B., Thiabaud, E., Saillard, A., Donnio, Y., Grall-Bronnec, M., & Perrot, B. (2020). Modeling early gambling behavior using indicators from online lottery gambling tracking data: Longitudinal analysis.Journal of Medical Internet Research, 22(8), e17675
Chóliz, M., Marcos, M., & Lázaro-Mateo, J. (2019). The risk of online gambling: A study of gambling disorder prevalence rates in Spain. International Journal of Mental Health and Addiction, 19(2), 1–14
Google Scholar
Delfabbro, P. H., & King, D. L. (2021). The value of voluntary vs. mandatory responsible gambling limit-setting systems: A review of the evidence. International Gambling Studies, 21, 255–271
Article
Google Scholar
Effertz, T., Bischof, A., Rumpf, H. J., Meyer, C., & John, U. (2018). The effect of online gambling on gambling problems and resulting economic health costs in Germany. European Journal of Health Economics, 19(7), 967–978
Article
Google Scholar
Gómez, P., Feijóo, S., Braña, T., Varela, J., & Rial, A. (2019). Minors and online gambling: Prevalence and related variables. Journal of Gambling Studies, 36, 735–745
Article
Google 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
Griffiths, M. D., Wardle, H., Orford, J., Sproston, K., & Erens, B. (2009). Sociodemographic correlates of internet gambling: Findings from the 2007 British gambling prevalence survey. CyberPsychology and Behavior, 12(2), 199–202
PubMed
Article
Google Scholar
Harris, A., & Griffiths, M. D. (2017). A critical review of the harm-minimisation tools available for electronic gambling. Journal of Gambling Studies, 33, 187–221
PubMed
Article
Google Scholar
Hollén, L., Dörner, R., Griffiths, M. D., & Emond, A. (2020). Gambling in young adults aged 17–24 Years: A population-based study. Journal of Gambling Studies, 36(3), 747–766
PubMed
PubMed Central
Article
Google Scholar
Hopfgartner, N., Auer, M., Santos, T., Helic, D., & Griffiths, M. D. (2021). The effect of mandatory play breaks on subsequent gambling behavior among Norwegian online sports betting, slots and bingo players: A large-scale real world study. Journal of Gambling Studies. Advance online publication. https://doi.org/10.1007/s10899-021-10078-3
Jacobs, D. (1988). Evidence for a common dissociative-like reaction among addicts. Journal of Gambling Behavior, 4, 27–37
Article
Google Scholar
Lawn, S., Oster, C., Riley, B., Smith, D., Baigent, M., & Rahamathulla, M. (2020). A literature review and gap analysis of emerging technologies and new trends in gambling. International Journal of Environmental Research and Public Health, 17(3), 744
PubMed Central
Article
Google Scholar
Lesieur, H. R. (1979). The compulsive gambler’s spiral of options and involvement. Psychiatry, 42(1), 79–87
CAS
PubMed
Article
Google Scholar
Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics, 18(1), 50–60
Article
Google Scholar
McAuliffe, W. H., Edson, T. C., Louderback, E. R., LaRaja, A., & LaPlante, D. A. (2021). Responsible product design to mitigate excessive gambling: A scoping review and z-curve analysis of replicability. PloS One, 16(4), e0249926
Molinaro, S., Benedetti, E., Scalese, M., Bastiani, L., Fortunato, L., Cerrai, S. … Urdih Lazar, T. (2018). Prevalence of youth gambling and potential influence of substance use and other risk factors throughout 33 European countries: First results from the 2015 ESPAD study. Addiction, 113(10), 1862–1873
PubMed
Article
Google Scholar
Monaghan, S. (2009). Responsible gambling strategies for internet gambling. The theoretical and empirical base of using pop-up messages to encourage self-awareness. Computers in Human Behavior, 25, 202–207
Article
Google Scholar
Murch, W. S., & Clark, L. (2021). Understanding the slot machine zone. Current Addiction Reports, 8(2), 214–224
Article
Google Scholar
Perrot, B., Hardouin, J. B., Grall-Bronnec, M., & Challet‐Bouju, G. (2018). Typology of online lotteries and scratch games gamblers’ behaviours: A multilevel latent class cluster analysis applied to player account‐based gambling data. International Journal of Methods in Psychiatric Research, 27(4), e1746.
Volberg, R. A., McNamara, L. M., & Carris, K. L. (2018). Risk factors for problem gambling in California: Demographics, comorbidities and gambling participation. Journal of Gambling Studies, 34(2), 361–377
PubMed
Article
Google Scholar
Wardle, H., Moody, A., Griffiths, M. D., Orford, J., & Volberg, R. (2011). Defining the online gambler and patterns of behaviour integration: Evidence from the British Gambling Prevalence Survey 2010. International Gambling Studies, 11, 339–356
Article
Google Scholar
Wohl, M. J., Gainsbury, S., Stewart, M. J., & Sztainert, T. (2013). Facilitating responsible gambling: The relative effectiveness of education-based animation and monetary limit setting pop-up messages among electronic gaming machine players. Journal of Gambling Studies, 29(4), 703–717
PubMed
Article
Google Scholar
Wohl, M. J., Parush, A., Kim, H. A. S., & Warren, K. (2014). Building it better: applying human–computer interaction and persuasive system design principles to a monetary limit tool improves responsible gambling. Computers in Human Behavior, 37, 124–132
Article
Google Scholar