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Cited by 173

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

First Person vs. Third Person Perspective in Digital Games: Do Player Preferences Affect Immersion?

Denisova, Alena, Cairns, Paul·2015·Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Abstract

Contemporary digital game developers offer a variety of games for the diverse tastes of their customers. Although the gaming experience often depends on one's preferences, the same may not apply to the level of their immersion. It has been argued whether the player perspective can influence the level of player's involvement with the game. The aim of this study was to research whether interacting with a game in first person perspective is more immersive than playing in the third person point of view (POV). The set up to test the theory involved participants playing a role-playing game in either mode, naming their preferred perspective, and subjectively evaluating their immersive experience. The results showed that people were more immersed in the game play when viewing the game world through the eyes of the character, regardless of their preferred perspectives.

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Metadata

Authors
Denisova, A., & Cairns, P.
Venue
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2015-04-18
Pages
145-148
OpenAlex
W2127355726
Cited by
173
References
2
FWCI
35.28
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: First Person vs. Third Person Perspective in Digital Games: Do Player Preferences Affect Immersion? https://app.cochat.ai/papers/10.1145/2702123.2702256
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Denisova, A., & Cairns, P. (2015). First Person vs. Third Person Perspective in Digital Games: Do Player Preferences Affect Immersion? Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. https://doi.org/10.1145/2702123.2702256

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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.