The competitive esports physiological, affective, and video dataset
Abstract Esports refers to competitive video gaming where individuals compete against each other in organized tournaments for prize money. Here, we present the Competitive Esports Physiological, Affective, and Video (CEPAV) dataset, in which 300 male Counter Strike: Global Offensive gamers participa...
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Nature Portfolio
2025-01-01
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Online Access: | https://doi.org/10.1038/s41597-024-04364-z |
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author | Maciej Behnke Wadim Krzyżaniak Jan Nowak Szymon Kupiński Patrycja Chwiłkowska Szymon Jęśko Białek Maciej Kłoskowski Patryk Maciejewski Kacper Szymański Daniël Lakens Kate Petrova Jeremy P. Jamieson James J. Gross |
author_facet | Maciej Behnke Wadim Krzyżaniak Jan Nowak Szymon Kupiński Patrycja Chwiłkowska Szymon Jęśko Białek Maciej Kłoskowski Patryk Maciejewski Kacper Szymański Daniël Lakens Kate Petrova Jeremy P. Jamieson James J. Gross |
author_sort | Maciej Behnke |
collection | DOAJ |
description | Abstract Esports refers to competitive video gaming where individuals compete against each other in organized tournaments for prize money. Here, we present the Competitive Esports Physiological, Affective, and Video (CEPAV) dataset, in which 300 male Counter Strike: Global Offensive gamers participated in a study aimed at optimizing affect during esports tournament1. The CEPAV dataset includes (1) physiological data, capturing the player’s cardiovascular responses from before, during, and after over 3000 CS: GO matches; (2) self-reported affective data, detailing the affective states experienced before gameplay; and (3) video data, providing a visual record of 552 in-laboratory gaming sessions. We also collected (affect-related) individual differences measures (e.g., well-being, ill-being) across six weeks in three waves. The self-reported affective data also includes gamers’ natural language descriptions of gaming affective situations. The CEPAV dataset provides a comprehensive resource for researchers and analysts seeking to understand the complex interplay of physiological, affective, and behavioral factors in esports and other performance contexts. |
format | Article |
id | doaj-art-1988c77dfbe44d3fbed90b3786e624f9 |
institution | Kabale University |
issn | 2052-4463 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Portfolio |
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series | Scientific Data |
spelling | doaj-art-1988c77dfbe44d3fbed90b3786e624f92025-01-12T12:07:47ZengNature PortfolioScientific Data2052-44632025-01-0112112110.1038/s41597-024-04364-zThe competitive esports physiological, affective, and video datasetMaciej Behnke0Wadim Krzyżaniak1Jan Nowak2Szymon Kupiński3Patrycja Chwiłkowska4Szymon Jęśko Białek5Maciej Kłoskowski6Patryk Maciejewski7Kacper Szymański8Daniël Lakens9Kate Petrova10Jeremy P. Jamieson11James J. Gross12Faculty of Psychology and Cognitive Science, Adam Mickiewicz UniversityFaculty of Psychology and Cognitive Science, Adam Mickiewicz UniversityNetwork Services Division, Poznan Supercomputing and Networking CenterNetwork Services Division, Poznan Supercomputing and Networking CenterFaculty of Psychology and Cognitive Science, Adam Mickiewicz UniversityFaculty of Psychology and Cognitive Science, Adam Mickiewicz UniversityFaculty of Psychology and Cognitive Science, Adam Mickiewicz UniversityFaculty of Psychology and Cognitive Science, Adam Mickiewicz UniversityFaculty of Psychology and Cognitive Science, Adam Mickiewicz UniversityHuman-Technology Interaction, Eindhoven University of TechnologyDepartment of Psychology, Stanford UniversityDepartment of Psychology, University of RochesterDepartment of Psychology, Stanford UniversityAbstract Esports refers to competitive video gaming where individuals compete against each other in organized tournaments for prize money. Here, we present the Competitive Esports Physiological, Affective, and Video (CEPAV) dataset, in which 300 male Counter Strike: Global Offensive gamers participated in a study aimed at optimizing affect during esports tournament1. The CEPAV dataset includes (1) physiological data, capturing the player’s cardiovascular responses from before, during, and after over 3000 CS: GO matches; (2) self-reported affective data, detailing the affective states experienced before gameplay; and (3) video data, providing a visual record of 552 in-laboratory gaming sessions. We also collected (affect-related) individual differences measures (e.g., well-being, ill-being) across six weeks in three waves. The self-reported affective data also includes gamers’ natural language descriptions of gaming affective situations. The CEPAV dataset provides a comprehensive resource for researchers and analysts seeking to understand the complex interplay of physiological, affective, and behavioral factors in esports and other performance contexts.https://doi.org/10.1038/s41597-024-04364-z |
spellingShingle | Maciej Behnke Wadim Krzyżaniak Jan Nowak Szymon Kupiński Patrycja Chwiłkowska Szymon Jęśko Białek Maciej Kłoskowski Patryk Maciejewski Kacper Szymański Daniël Lakens Kate Petrova Jeremy P. Jamieson James J. Gross The competitive esports physiological, affective, and video dataset Scientific Data |
title | The competitive esports physiological, affective, and video dataset |
title_full | The competitive esports physiological, affective, and video dataset |
title_fullStr | The competitive esports physiological, affective, and video dataset |
title_full_unstemmed | The competitive esports physiological, affective, and video dataset |
title_short | The competitive esports physiological, affective, and video dataset |
title_sort | competitive esports physiological affective and video dataset |
url | https://doi.org/10.1038/s41597-024-04364-z |
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