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Relationships between Dota 2 expertise and decision-making ability
Luleå University of Technology, Department of Health, Education and Technology, Health, Medicine and Rehabilitation.ORCID iD: 0000-0002-2709-9966
Department of Psychology, Umeå University, Umeå, Sweden.
Department of Psychology, Umeå University, Umeå, Sweden.
Department of Psychology, Umeå University, Umeå, Sweden.
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2022 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 17, no 3, article id e0264350Article in journal (Refereed) Published
Abstract [en]

Esports is an often time-consuming activity that has become increasingly popular with billions of players all over the world. The objective of this study was to investigate if there is a relationship between skill level in the strategy video game Dota 2, a game that places many demands on decision making to be successful, and decision making under ambiguity and experience as measured by performance in the Iowa Gambling Task (IGT), a task known to have ecological validity. Two indicators of players’ performance in Dota 2, namely match-making rating (MMR) and Medal, were used as predictors of performance in the IGT in path models. Results showed that Medal was a significant predictor of performance in IGT, while MMR score was borderline significant. The cognitive reflection task, included in the models as an indicator of the ability to engage in conscious, analytical, rational, and logical thinking, was a significant predictor of performance in IGT, and was significantly and positively related to MMR. The findings from this study give insight into the cognitive demands related to performance in Dota 2. Although results suggest that strategy video gaming may be a factor that contributes to increased decision making abilities, a reversed relationship is also possible, whereby individuals who are better at decision making are also more likely to become successful in Dota-2. More studies, preferably longitudinal, are needed to replicate the findings of this study and to establish the directionality between factors.

Place, publisher, year, edition, pages
Public Library of Science , 2022. Vol. 17, no 3, article id e0264350
National Category
Psychology Computer Sciences
Research subject
Engineering Psychology
Identifiers
URN: urn:nbn:se:ltu:diva-89749DOI: 10.1371/journal.pone.0264350ISI: 000849744700017PubMedID: 35231043Scopus ID: 2-s2.0-85125583697OAI: oai:DiVA.org:ltu-89749DiVA, id: diva2:1645583
Funder
Knut and Alice Wallenberg Foundation, KAW 2014.0205
Note

Validerad;2022;Nivå 2;2022-03-18 (joosat)

Available from: 2022-03-18 Created: 2022-03-18 Last updated: 2024-03-27Bibliographically approved

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Eriksson Sörman, DanielVega-Mendoza, MarianaKörning-Ljungberg, Jessica

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