Competitive Esports Physiological Affective and Video Dataset – Behnke (ERNC25)

Описание: This presentation by Maciej Behnke from Adam Mickiewicz University introduces the Competitive Esports Physiological, Affective, and Video dataset, a large scale multimodal resource designed to support research on affect, physiology, and performance in esports.

Esports provides a rare combination of high stakes competition and controlled experimental conditions, making it an ideal context for studying real time emotional and physiological responses. Building on a large scale research project, the dataset was created to enable open, replicable, and interdisciplinary research in affective computing and performance science.

The CEPAV dataset is based on a three phase experimental design involving 300 male Counter Strike Global Offensive players tested between 2023 and 2024. The study combines laboratory based measurements with ecological daily monitoring to capture physiological signals, affective self reports, gameplay behaviour, and video recordings over a six week period. Participants were randomly assigned to an affective mindset intervention or a control condition, allowing for causal analysis of emotion regulation strategies.

The dataset includes synchronized cardiovascular measures, accelerometry data, validated self report scales, and video recordings from more than 500 laboratory sessions. In total, it contains data from over 3,000 matches and approximately 750 hours of physiological recordings, supported by detailed metadata and standardized file formats.

The presentation highlights how openly releasing this dataset addresses a key limitation in affective computing research, namely the lack of large, shared, multimodal datasets grounded in real world performance contexts. The combination of controlled experiments and longitudinal monitoring strengthens both internal and external validity.

The dataset enables research on stress appraisal, emotion regulation, and performance under pressure, as well as the development of affect aware technologies such as adaptive training systems and real time stress detection. By making the data openly accessible, the project supports methodological innovation and interdisciplinary collaboration across esports, human computer interaction, and behavioural science.

Keywords: affective computing, esports dataset, physiology, emotion regulation, stress appraisal, performance

About the ERN Conference 2025:

The Esports Research Network Conference 2025 took place online from November 12–14, 2025 as a continuous, 72-hour global livestream. Guided by the theme “Future Realities: Esports as a Global Lab,” the event explored how esports serves as a living laboratory for understanding digital transformation across education, media, technology, and society. This innovative digital-first format followed the sun across three regional hubs, Slippery Rock University of Pennsylvania & Michigan State University (Americas), Staffordshire University (EMEA), and UNSW Sydney (Asia-Pacific), creating a nonstop, interconnected academic experience available to participants worldwide.

This ambitious production was made possible through the support of Corsair for Business, whose Elgato technology powered high-quality broadcasting and seamless livestreaming across all three hubs. ERNC25 continues the network’s mission to unite scholars, practitioners, and students while fostering open, global collaboration in esports research.

Full abstracts for all presentations can be viewed in the official Book of Abstracts at: https://book.esportsresearch.net

Website: https://esportsresearch.net