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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-04364-z
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841544953601196032
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
record_format Article
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
work_keys_str_mv AT maciejbehnke thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT wadimkrzyzaniak thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT jannowak thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT szymonkupinski thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT patrycjachwiłkowska thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT szymonjeskobiałek thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT maciejkłoskowski thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT patrykmaciejewski thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT kacperszymanski thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT daniellakens thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT katepetrova thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT jeremypjamieson thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT jamesjgross thecompetitiveesportsphysiologicalaffectiveandvideodataset
AT maciejbehnke competitiveesportsphysiologicalaffectiveandvideodataset
AT wadimkrzyzaniak competitiveesportsphysiologicalaffectiveandvideodataset
AT jannowak competitiveesportsphysiologicalaffectiveandvideodataset
AT szymonkupinski competitiveesportsphysiologicalaffectiveandvideodataset
AT patrycjachwiłkowska competitiveesportsphysiologicalaffectiveandvideodataset
AT szymonjeskobiałek competitiveesportsphysiologicalaffectiveandvideodataset
AT maciejkłoskowski competitiveesportsphysiologicalaffectiveandvideodataset
AT patrykmaciejewski competitiveesportsphysiologicalaffectiveandvideodataset
AT kacperszymanski competitiveesportsphysiologicalaffectiveandvideodataset
AT daniellakens competitiveesportsphysiologicalaffectiveandvideodataset
AT katepetrova competitiveesportsphysiologicalaffectiveandvideodataset
AT jeremypjamieson competitiveesportsphysiologicalaffectiveandvideodataset
AT jamesjgross competitiveesportsphysiologicalaffectiveandvideodataset