Real-World Geopolitical Influences on In-Game Financial Behaviour

This paper explores how real-world geopolitics can influence financial decision-making in virtual environments. The study primarily focuses on trading dynamics in a pandemic simulation game. The players manage resources and trade with each other to save their population. We compared two groups: one playing with made-up country names (control) and another with real country names (test). The players were not permitted to communicate outside of the resources the game provides and were finally ranked based on the number of months survived and trade volume. Our findings reveal two distinct player archetypes, one focusing on maximising trade volume and a second focusing on resource conservation. Real country names compared to color-coded labels seem to delay the perception of competition and reduce overall trade volume, suggesting increased immersion and a more conservative approach towards resource management. Observations from gameplay footage reveal instances of potential bias, with players forming diplomatic ties based on national identities. The data collected suggests that real-world geopolitics can influence financial behaviour in virtual environments as hypothesised. It also explores virtual environments to study how political narratives and dynamics affect human decision-making. The findings offer practical insights for game developers regarding fostering player engagement, mitigating bias, and creating fair economies. While parallels with real-world resource trading and allocation during pandemics were noted, further analysis would be required to explore these connections.

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Publication Details

Journal
European Conference on Games Based Learning
Published
2024-10-07
DOI
https://doi.org/10.34190/ecgbl.18.1.2645
Primary Topic
Complex Systems and Time Series Analysis
Type
article
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article

Real-World Geopolitical Influences on In-Game Financial Behaviour

Kavita Vemuri, Raghav Dwivedi
European Conference on Games Based Learning
Complex Systems and Time Series Analysis
article

Real-World Geopolitical Influences on In-Game Financial Behaviour

Kavita Vemuri, Raghav Dwivedi
article en

Abstract

This paper explores how real-world geopolitics can influence financial decision-making in virtual environments. The study primarily focuses on trading dynamics in a pandemic simulation game. The players manage resources and trade with each other to save their population. We compared two groups: one playing with made-up country names (control) and another with real country names (test). The players were not permitted to communicate outside of the resources the game provides and were finally ranked based on the number of months survived and trade volume. Our findings reveal two distinct player archetypes, one focusing on maximising trade volume and a second focusing on resource conservation. Real country names compared to color-coded labels seem to delay the perception of competition and reduce overall trade volume, suggesting increased immersion and a more conservative approach towards resource management. Observations from gameplay footage reveal instances of potential bias, with players forming diplomatic ties based on national identities. The data collected suggests that real-world geopolitics can influence financial behaviour in virtual environments as hypothesised. It also explores virtual environments to study how political narratives and dynamics affect human decision-making. The findings offer practical insights for game developers regarding fostering player engagement, mitigating bias, and creating fair economies. While parallels with real-world resource trading and allocation during pandemics were noted, further analysis would be required to explore these connections.

European Conference on Games Based LearningVol. 18(1)
International Institute of Information Technology, Hyderabad (IN)
Openalex Percentile: Top 59%
Complex Systems and Time Series Analysis
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Real-World Geopolitical Influences on In-Game Financial Behaviour — Kavita Vemuri, Raghav Dwivedi · European Conference on Games Based Learning (2024) | TGRS Research Map | TGRS