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Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data

Despite the prevalence of gaming as a human activity, the literature on playtime is uninformed by large-scale, high-quality data. This has led to an evidence-base in which the existence of specific cultural gaming cultures (e.g. exceptional levels of gaming in East Asian nations) are not well-suppor...

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Autores principales: Zendle, David, Flick, Catherine, Halgarth, Darel, Ballou, Nick, Demediuk, Simon, Drachen, Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825125/
https://www.ncbi.nlm.nih.gov/pubmed/36611041
http://dx.doi.org/10.1038/s41598-022-26730-w
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author Zendle, David
Flick, Catherine
Halgarth, Darel
Ballou, Nick
Demediuk, Simon
Drachen, Anders
author_facet Zendle, David
Flick, Catherine
Halgarth, Darel
Ballou, Nick
Demediuk, Simon
Drachen, Anders
author_sort Zendle, David
collection PubMed
description Despite the prevalence of gaming as a human activity, the literature on playtime is uninformed by large-scale, high-quality data. This has led to an evidence-base in which the existence of specific cultural gaming cultures (e.g. exceptional levels of gaming in East Asian nations) are not well-supported by evidence. Here we address this evidence gap by conducting the world’s first large-scale investigation of cross-cultural differences in mobile gaming via telemetry analysis. Our data cover 118 billion hours of playtime occurring in 214 countries and regions between October 2020 and October 2021. A cluster analysis establishes a data-driven set of cross-cultural groupings that describe differences in how the world plays mobile games. Despite contemporary arguments regarding Asian exceptionalism in terms of playtime, analysis shows that many East Asian countries (e.g., China) were not highly differentiated from most high-GDP Northern European nations across several measures of play. Instead, a range of previously unstudied and highly differentiated cross-cultural clusters emerged from the data and are presented here, showcasing the diversity of global gaming.
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spelling pubmed-98251252023-01-09 Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data Zendle, David Flick, Catherine Halgarth, Darel Ballou, Nick Demediuk, Simon Drachen, Anders Sci Rep Article Despite the prevalence of gaming as a human activity, the literature on playtime is uninformed by large-scale, high-quality data. This has led to an evidence-base in which the existence of specific cultural gaming cultures (e.g. exceptional levels of gaming in East Asian nations) are not well-supported by evidence. Here we address this evidence gap by conducting the world’s first large-scale investigation of cross-cultural differences in mobile gaming via telemetry analysis. Our data cover 118 billion hours of playtime occurring in 214 countries and regions between October 2020 and October 2021. A cluster analysis establishes a data-driven set of cross-cultural groupings that describe differences in how the world plays mobile games. Despite contemporary arguments regarding Asian exceptionalism in terms of playtime, analysis shows that many East Asian countries (e.g., China) were not highly differentiated from most high-GDP Northern European nations across several measures of play. Instead, a range of previously unstudied and highly differentiated cross-cultural clusters emerged from the data and are presented here, showcasing the diversity of global gaming. Nature Publishing Group UK 2023-01-07 /pmc/articles/PMC9825125/ /pubmed/36611041 http://dx.doi.org/10.1038/s41598-022-26730-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zendle, David
Flick, Catherine
Halgarth, Darel
Ballou, Nick
Demediuk, Simon
Drachen, Anders
Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data
title Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data
title_full Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data
title_fullStr Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data
title_full_unstemmed Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data
title_short Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data
title_sort cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825125/
https://www.ncbi.nlm.nih.gov/pubmed/36611041
http://dx.doi.org/10.1038/s41598-022-26730-w
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