Landon, Jason, Palmer Du Preez, Katie, Page, Alyssia , Belringer, Maria, Roberts, Amanda and Abbott, Max (2018) Electronic gaming machine characteristics: it's the little things that count. International Journal of Mental Health and Addiction, 16 (2). pp. 251-265. ISSN 1557-1874
Full content URL: https://doi.org/10.1007/s11469-016-9666-2
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23227 Landon et al 2016_ EGMS.pdf - Whole Document Restricted to Repository staff only 498kB | |
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23227 MS_Little things_IJMH-S-16-0087-R1.pdf - Whole Document 363kB |
Item Type: | Article |
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Item Status: | Live Archive |
Abstract
A range of gamblers, from low-frequency social gamblers through to problem gamblers in treatment, participated in focus groups discussing the characteristics of Electronic Gaming Machines (EGMs) that they found attractive. Analyses of the resulting transcripts resulted in two groups of EGM characteristics being identified as important, one group associated with winning and one with betting. Overall, free spin features were identified in all groups as the most attractive characteristic of EGMS. Beyond that it was smaller win-related characteristics, and low-denomination machines with multiple playable lines that were associated with increased duration and intensity of gambling behaviour. The important characteristics were consistent across different levels of gamblers, with the key behavioural difference being a self-reported ‘expertise’, and ‘strategic’ approach to gambling amongst higher-frequency gamblers and problem gamblers in treatment. The key characteristics all occur frequently and result in more wins and extended gambling sessions. The patterns identified resonated with established behavioural principles, and with models describing the development of problem gambling and addictions more generally.
Keywords: | Gambling, Problem Gambling, Electronic gaming machines, Game characteristics, qualitative research |
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Subjects: | C Biological Sciences > C850 Cognitive Psychology C Biological Sciences > C840 Clinical Psychology |
Divisions: | College of Social Science > School of Psychology |
Related URLs: | |
ID Code: | 23227 |
Deposited On: | 10 Jun 2016 10:17 |
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