Available online – Evidence brief from the Gambling Research Exchange Ontario in which the authors outline four key ways that gambling and video games are converging.
[Introduction] In the past five years we have seen digital games and gambling shifting closer together than ever before. Although gambling per se has been available on digital platforms for several decades now, even the most video-game-like gambling experiences … rarely achieved much success. However, more recently a number of very new phenomena have emerged, and become highly successful, which blur video games and gambling in ways not before seen. Specifically, we are seeing video games increasingly shift to using gambling systems in a number of ways, while gambling systems are developing tropes of video games to appeal to new demographics. These are important new shifts for understanding the contemporary gambling landscape, and in this document we seek to outline several of the key ways this is taking place, and why they should be of interest to scholars, policymakers, and the public with an interest in the cutting-edge state of digital gambling. Access full article
Reference: Johnson, M.R., & Brock, T. (2019). How are video games and gambling converging? Gambling Research Exchange Ontario, Guelph, Ontario, Canada.
Background: Methodological shortcomings of gambling studies relying on self-report or on data sets derived from gambling operators tend to result in biased conclusions. The aim of this study was to analyze online gambling behavior using a novel network database approach. Methods: From October 13 to October 26, 2014, telecommunications network data from a major telecommunications provider in Switzerland were analyzed. Netflows between mobile devices and a poker operator were quantified to measure the gambling duration and session number. Results: Time spent gambling during night and working hours was compared between devices with longest (red group), intermediate (orange group), and shortest gambling time (green group). Online gambling behavior differed depending on overall gambling time, F (2, 3,143). Night and working hours gambling was the highest in the red group (53%), compared to the orange (50.1%) and the green groups (41.5%). Post hoc analyses indicated significant differences between the orange and green groups (p < 0.05). No differences were observed between the red and orange groups (p = 0.850), and the red and green groups (p = 0.053). Conclusions: On mobile devices, distinct gambling patterns were observed depending on the overall gambling time. This methodology could also be used to investigate online gaming, social media use, and online pornography.
Bitar, R., Nordt, C., Grosshans, M., Herdener, M., Seifritz, E., & Mutschler, J. (2017). Telecommunications Network Measurements of Online Gambling Behavior in Switzerland: A Feasibility Study. European Addiction Research, 23(2), 106–112. https://doi.org/10.1159/000471482
Introduction: Impulsivity is a personality dimension known to be closely linked to addictive behaviour, including problem gambling. The aim of the present study is to assess impulsivity and its sub-dimensions (non-planning, attentional and motor impulsivity) among a sample of regular poker players, in order to determine whether these subtypes are linked to problem gambling and its severity…
Source: S, B., & C, B. (2015). Problem Gambling and Sub-dimensions of Impulsivity among Regular Online Poker Players. Journal of Addiction Research & Therapy, 06(04). http://doi.org/10.4172/2155-6105.1000254