Sustainable behavior in the fishing cards digital game: a comparative analysis across extraction patterns

Sustainability is achieved when resources are used to meet current needs without compromising their availability for future generations. This study examined fishing behaviors across age groups using the Fishing Cards digital game. Participants (<i>N</i> = 30) played 40 s rounds, using two types of cards to catch fish: one less powerful and the other with greater capacity for resource extraction. The game consisted of two phases. In Phase 1, resources were unlimited, allowing participants to fish freely. In Phase 2, resources were limited and could be depleted, potentially leading to defeat in the game. The research aimed to examine whether InterResponse Time (IRT) for fishing responses changed and how card selection patterns and resource availability influenced participants' choices. Specifically, the goal was to observe how players achieved sustainability in Fishing Cards when resources became limited. Statistical analysis was conducted using Generalized Linear Mixed Models (GLMM). Findings showed a reduction in the selection of the most powerful card and an increase in IRT during the limited resource phase, indicating more sustainable extraction patterns. As resource availability decreased, participants were less likely to use the most powerful cards. The study contributes to understanding sustainable behavior in experimental analogs and highlights the potential of digital gaming for environmental education and sustainability. Limitations are acknowledged.

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Publication Details

Journal
Frontiers in Psychology
Published
2025-04-09
DOI
https://doi.org/10.3389/fpsyg.2025.1507569
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
0.00

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article

Sustainable behavior in the fishing cards digital game: a comparative analysis across extraction patterns

Júlio C. de Rose, Giovan Willian Ribeiro, Kalliu Carvalho Couto, Marlon Alexandre de Oliveira
Frontiers in Psychology
Evolutionary Game Theory and Cooperation
article

Sustainable behavior in the fishing cards digital game: a comparative analysis across extraction patterns

Júlio C. de Rose, Giovan Willian Ribeiro, Kalliu Carvalho Couto, Marlon Alexandre de Oliveira
article en

Abstract

Sustainability is achieved when resources are used to meet current needs without compromising their availability for future generations. This study examined fishing behaviors across age groups using the Fishing Cards digital game. Participants (<i>N</i> = 30) played 40 s rounds, using two types of cards to catch fish: one less powerful and the other with greater capacity for resource extraction. The game consisted of two phases. In Phase 1, resources were unlimited, allowing participants to fish freely. In Phase 2, resources were limited and could be depleted, potentially leading to defeat in the game. The research aimed to examine whether InterResponse Time (IRT) for fishing responses changed and how card selection patterns and resource availability influenced participants' choices. Specifically, the goal was to observe how players achieved sustainability in Fishing Cards when resources became limited. Statistical analysis was conducted using Generalized Linear Mixed Models (GLMM). Findings showed a reduction in the selection of the most powerful card and an increase in IRT during the limited resource phase, indicating more sustainable extraction patterns. As resource availability decreased, participants were less likely to use the most powerful cards. The study contributes to understanding sustainable behavior in experimental analogs and highlights the potential of digital gaming for environmental education and sustainability. Limitations are acknowledged.

Frontiers in PsychologyVol. 16
Universidade Federal de São Carlos (BR), National Institute of Science and Technology (ID), Universidade Federal do ABC (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Direktoratet for internasjonalisering og kvalitetsutvikling i høgare utdanning
Openalex Percentile: Top 91%
Evolutionary Game Theory and Cooperation
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