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Flow and immersion in first-person shooters: measuring the player's gameplay experience

Open access
Nacke, Lennart, Lindley, Craig A.·2008·Proceedings of the 2008 Conference on Future Play: Research, Play, Share

Abstract

Researching experiential phenomena is a challenging undertaking, given the sheer variety of experiences that are described by gamers and missing a formal taxonomy: flow, immersion, boredom, excitement, challenge, and fun. These informal terms require scientific explanation, which amounts to providing measurable criteria for different experiential states. This paper reports the results of an experimental psychophysiological study investigating different traits of gameplay experience using subjective and objective measures. Participants played three Half-Life 2 game modifications while being measured with electroencephalography, electrocardiography, electromyography, galvanic skin response and eye tracking equipment. In addition, questionnaire responses were collected after each play session. A level designed for combat-oriented flow experience demonstrated measurable high-arousal positive affect emotions. The positive correlation between subjective and objective indicators of gameplay experience shows the great potential of the method presented here for providing real-time emotional profiles of gameplay that may be correlated with self-reported subjective descriptions.

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Metadata

Authors
Nacke, L., & Lindley, C. A.
Venue
Proceedings of the 2008 Conference on Future Play: Research, Play, Share
Publisher
ACM
Published
2008-11-03
Pages
81-88
OpenAlex
W2158378323
Cited by
327
References
1
FWCI
33.70
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Flow and immersion in first-person shooters: measuring the player's gameplay experience. https://app.cochat.ai/papers/10.1145/1496984.1496998
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Nacke, L., & Lindley, C. A. (2008). Flow and immersion in first-person shooters: measuring the player's gameplay experience. Proceedings of the 2008 Conference on Future Play: Research, Play, Share. https://doi.org/10.1145/1496984.1496998

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.