Novice electronic gambling machine players’ decision-making, cognitive flexibility and emotional self-regulation

MacLaren, Vance (2024) Novice electronic gambling machine players’ decision-making, cognitive flexibility and emotional self-regulation. Doctoral (PhD) thesis, Memorial University of Newfoundland.

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Abstract

It is not known why some novice gamblers eventually develop Gambling Disorder while most do not. This study tested predictions from two competing models of Gambling Disorder etiology: the Pathways Model of Problem and Pathological Gambling (Blaszczynski & Nower, 2002) and the Allostatic Model of addictions (Koob & Schulkin, 2019) applied to Gambling Disorder. Participants were drawn from introductory psychology courses and screened as non-gamblers (N = 91). They completed computerized versions of the Iowa Gambling Task (IGT-2), Wisconsin Card Sorting Task (WCST-64), and a Difficulties with Emotional Regulation Scale (DERS). Risk-taking tendencies were observed by having participants play a typical electronic slots game for up to 15 min. Higher betting on the slots game was positively correlated with the frequency of Deck A selections on the IGT-2 (r=.30, p=.005) and with lower total DERS scores (r=-.31, p=.003). There were no statistically significant correlations involving slots betting and the WCST-64. Greater risk-taking on the slots game was correlated with more frequent wins, partial losses that were disguised as wins, bonus game features, and the largest nominal amount won on a single spin. However, there were no significant correlations between betting behaviors and the ‘payback percentage’, defined as total winnings as a proportion of total wagers made throughout the session. Post-game ratings were positively correlated with frequency of reinforcing outcomes. These findings suggest that novice gamblers’ likelihood of further gambling participation may be elevated by high sensitivity to immediate rewards and low difficulty self-regulating negative emotions. These findings are consistent with the Allostatic Model; they are not consistent with Pathways Model.

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