Armstrong, T., Donaldson, P., Langham, E., Rockloff, M., & Browne, M. (2018). Exploring the effectiveness of an intelligent messages framework for developing warning messages to reduce gambling intensity. Journal of Gambling Issues. https://doi.org/10.4309/jgi.2018.38.4. Article Google Scholar
Auer, M., Malischnig, D., & Griffiths, M. (2014). Is “pop-up” messaging in online slot machine gambling effective as a responsible gambling strategy? Journal of Gambling Issues,29, 1–10. https://doi.org/10.4309/jgi.2014.29.3. Article Google Scholar
Binde, P. (2011). What are the most harmful forms of gambling? Analyzing problem gambling prevalence surveys. http://hdl.handle.net/2077/26165. Retrieved February 3, 2019.
Browne, M., Langham, E., Rawat, V., Greer, N., Li, E., Rose, J., et al. (2016). Assessing gambling-related harm in Victoria: A public health perspective. Melbourne: Victorian Responsible Gambling Foundation. Google Scholar
Currie, S., Hodgins, D., Wang, J., El-Guebaly, N., Wynne, H., & Chen, S. (2006). Risk of harm among gamblers in the general population as a function of level of participation in gambling activities. Addiction,101(4), 570–580. https://doi.org/10.1111/j.1360-0443.2006.01392.x. ArticlePubMed Google Scholar
Delfabbro, P. (2012a). Australasian gambling review (5th ed.). Adelaide, SA: Independent Gambling Authority. Google Scholar
Delfabbro, P. (2012b). Evaluation of the Maxetag budget setting feature: Final report. Adelaide, SA: School of Psychology, University of Adelaide. Google Scholar
Faul, F., Erdfelder, E., Lang, A., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods,39(2), 175–191. Article Google Scholar
Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: Final report. Ottawa: Canadian Centre on Substance Abuse. Google Scholar
Gainsbury, S., Aro, D., Ball, D., Tobar, C., & Russell, A. (2015a). Optimal content for warning messages to enhance consumer decision making and reduce problem gambling. Journal of Business Research,68(10), 2093–2101. https://doi.org/10.1016/j.jbusres.2015.03.007. Article Google Scholar
Gainsbury, S., Aro, D., Ball, D., Tobar, C., & Russell, A. (2015b). Determining optimal placement for pop-up messages: Evaluation of a live trial of dynamic warning messages for electronic gaming machines. International Gambling Studies,15(1), 141–158. https://doi.org/10.1080/14459795.2014.1000358. Article Google Scholar
Gainsbury, S., Russell, A., Hing, N., Wood, R., Lubman, D., & Blaszczynski, A. (2015c). How the internet is changing gambling: Findings from an Australian prevalence survey. Journal of Gambling Studies,31(1), 1–15. https://doi.org/10.1007/s10899-013-9404-7. ArticlePubMed Google Scholar
Gainsbury, S., Russell, A., Wood, R., Hing, N., & Blaszczynski, A. (2014). How risky is Internet gambling? A comparison of subgroups of Internet gamblers based on problem gambling status. New Media and Society,17(6), 861–879. https://doi.org/10.1177/1461444813518185. Article Google Scholar
Hardeman, W., Johnston, M., Johnston, D., Bonetti, D., Wareham, N., & Kinmonth, A. (2002). Application of the Theory of Planned Behaviour in behaviour change interventions: A systematic review. Psychology and Health,17(2), 123–158. https://doi.org/10.1080/08870440290013644a. Article Google Scholar
Harrigan, K., Dixon, M., MacLaren, V., Collins, K., & Fugelsang, J. (2011). The maximum rewards at the minimum price: Reinforcement rates and payback percentages in multi-line slot machines. Journal of Gambling Issues,26, 11. https://doi.org/10.4309/jgi.2011.26.3. Article Google Scholar
Harrigan, K., MacLaren, V., Brown, D., Dixon, M., & Livingstone, C. (2014). Games of chance or masters of illusion: Multiline slots design may promote cognitive distortions. International Gambling Studies,14(2), 301–317. https://doi.org/10.1080/14459795.2014.918163. Article Google Scholar
Hing, N., Russell, A., & Hronis, A. (2017). What behaviours and cognitions support responsible consumption of gambling? Results from an expert survey. International Journal of Mental Health and Addiction,15(6), 1320–1341. https://doi.org/10.1007/s11469-017-9793-4. Article Google Scholar
Jackson, A., Wynne, H., Dowling, N., Tomnay, J., & Thomas, S. (2009). Using the CPGI to determine problem gambling prevalence in Australia: Measurement issues. International Journal of Mental Health and Addiction,8(4), 570–582. https://doi.org/10.1007/s11469-009-9238-9. Article Google Scholar
Kim, H., Wohl, M., Stewart, M., Sztainert, T., & Gainsbury, S. (2014). Limit your time, gamble responsibly: Setting a time limit (via pop-up message) on an electronic gaming machine reduces time on device. International Gambling Studies,14(2), 266–278. https://doi.org/10.1080/14459795.2014.910244. Article Google Scholar
Mizerski, R., Lee, A., Sadeque, S., Jolley, W., Wang, S., Jiang, J., & Osborne, C. (2012). Boomerang effects of gambling warnings exposed to non-problem gamblers. In Australian & New Zealand Marketing Academy. Conference (2012 : Adelaide, South Australia) (pp. 1–7). ANZMAC. http://dro.deakin.edu.au/view/DU:30076071. Retrieved October 18, 2018.
Monaghan, S., & Blaszczynski, A. (2010). Impact of mode of display and message content of responsible gambling signs for electronic gaming machines on regular gamblers. Journal of Gambling Studies,26(1), 67–88. https://doi.org/10.1007/s10899-009-9150-z. ArticlePubMed Google Scholar
Oakes, J., Pols, R., Lawn, S., & Battersby, M. (2018). The “zone”: A qualitative exploratory study of an altered state of awareness in electronic gaming machine problem gambling. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-018-9976-7. Article Google Scholar
Omnifacts Bristol Research. (2007). Nova Scotia player card research project: Stage III research report. Halifax, NS: Nova Scotia Gaming Corporation. Google Scholar
Parke, J., & Griffiths, M. (2006). The psychology of the fruit machine: The role of structural characteristics (revisited). International Journal of Mental Health and Addiction,4(2), 151–179. https://doi.org/10.1007/s11469-006-9014-z. Article Google Scholar
Rintoul, A., Livingstone, C., Mellor, A., & Jolley, D. (2013). Modelling vulnerability to gambling related harm: How disadvantage predicts gambling losses. Addiction Research and Theory,21(4), 329–338. https://doi.org/10.3109/16066359.2012.727507. Article Google Scholar
Stewart, M., & Wohl, M. (2013). Pop-up messages, dissociation, and craving: How monetary limit reminders facilitate adherence in a session of slot machine gambling. Psychology of Addictive Behaviors,27(1), 268–273. https://doi.org/10.1037/a0029882. ArticlePubMed Google Scholar
Stiglmayr, C., Schimke, P., Wagner, T., Braakmann, D., Schweiger, U., Sipos, V., et al. (2010). Development and psychometric characteristics of the Dissociation Tension Scale. Journal of Personality Assessment,92(3), 269–277. https://doi.org/10.1080/00223891003670232. ArticlePubMed Google Scholar
Stockley, C. S. (2001). The effectiveness of strategies such as health warning labels to reduce alcohol-related harms: An Australian perspective. The International Journal on Drug Policy,12(2), 153–166. Article Google Scholar
Thomas, S., Pitt, H., Bestman, A., Randle, M., McCarthy, S., & Daube, M. (2018). The determinants of gambling normalisation: Causes, consequences and public health responses. Victoria: Victorian Responsible Gambling Foundation. Google Scholar
Wohl, M., Parush, A., Kim, H., & 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. https://doi.org/10.1016/j.chb.2014.04.045. Article Google Scholar