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Play dynamics on electronic gaming machines: A conceptual review
Paul Delfabbro1, Daniel L King1
1School of Psychology,University of Adelaide, Adelaide, SA,Australia.
Journal of Behavioral Addictions
|May 14, 2019
Summary
Future electronic gaming machine (EGM) research should integrate game dynamics with gambler psychology for better insights. Analyzing player behavior requires dynamic, interactive methods beyond single-feature studies.
Area of Science:
- Behavioral Science
- Psychology
- Human-Computer Interaction
Background:
- Existing research on electronic gaming machines (EGMs) often focuses on individual features.
- A gap exists in understanding the dynamic interplay between game parameters and gambler psychology.
Purpose of the Study:
- To propose advanced conceptual and methodological approaches for EGM research.
- To highlight the importance of capturing the dynamic interplay between game parameters and gambler psychological needs.
Main Methods:
- Analysis of existing literature on individual EGM features.
- Reappraisal of Reversal Theory for understanding behavioral dynamics and need states.
- Focus on player dynamics and the interplay between gambler needs and play choices.
Main Results:
- Single-feature modification methods have limitations in explaining observed behavior.
- Behavioral differences may stem from measurable motivational state variations.
- Player dynamics and psychological needs significantly influence gambling behavior.
Conclusions:
- Future EGM research requires dynamic and interactive approaches.
- Big Data innovations and access to genuine player data can facilitate new research methods.
- Findings can inform in situ research and clinical interventions for at-risk gamblers.
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