竞技电子竞技的生理,情感和视频数据集
Maciej Behnke1,2, Wadim Krzyżaniak3, Jan Nowak4
1Faculty of Psychology and Cognitive Science, Adam Mickiewicz University, Poznan, Poland. macbeh@amu.edu.pl.
Scientific data
|January 11, 2025
概括
这项研究介绍了竞争性电子竞技生理,情感和视频 (CEPAV) 数据集,提供了对游戏玩家福祉和表现的见解. 该数据集捕获了来自"反击:全球进攻"玩家的生理,情感和视频数据.
科学领域:
- 运动科学 运动科学 运动科学
- 心理学 心理学 心理学
- 数据科学数据科学数据科学
背景情况:
- 电子竞技,或竞争性视频游戏,是一个快速增长的行业,具有重要的奖池.
- 了解影响电子竞技表现的心理和生理因素对于玩家的福祉和优化至关重要.
- 现有的研究往往缺乏全面的多模式数据,以捕捉电子竞技体验.
研究的目的:
- 介绍和描述竞争性电子竞技生理,情感和视频 (CEPAV) 数据集.
- 为研究电子竞技中的生理,情感和行为因素的相互作用提供丰富的资源.
- 促进旨在优化竞争游戏中的玩家影响和表现的研究.
主要方法:
- 收集了300名男性Counter-Strike:全球进攻游戏玩家在3000多场比赛中的生理数据 (心血管反应).
- 在游戏前收集自我报告的情感数据,包括游戏情境的自然语言描述.
- 从552个实验室游戏会议中获取视频数据,并在六周内收集了与影响相关的个体差异.
主要成果:
- CEPAV 数据集包括电子竞技研究所必需的多模式数据流.
- 它包括与竞争性游戏有关的详细的生理,情感和行为指标.
- 纵向个人差异数据为情绪状态提供了背景.
结论:
- CEPAV 数据集是电子竞技研究界的一个有价值,全面的资源.
- 它可以深入分析竞争性游戏中与性能相关的因素.
- 研究人员可以利用这个数据集来探索提高球员福祉和优化表现的策略.
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