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Cited by 786

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Fundamental Components of the Gameplay Experience: Analysing Immersion

Open access
Ermi, Laura, Mäyrä, Frans·2005·DiGRA Digital Library

Abstract

This paper presents a gameplay experience model, assesses its potential as a tool for research and presents some directions for future work. The presented model was born from observations among game-playing children and their non-player parents, which directed us to have a closer look at the complex nature of gameplay experience. Our research led into a heuristic gameplay experience model that identifies some of the key components and processes that are relevant in the experience of gameplay, with a particular focus on immersion. The model includes three components: sensory, challenge-based and imaginative immersion (SCI-model). The classification was assessed with self-evaluation questionnaires filled in by informants who played different popular games. It was found that the gameplay experiences related to these games did indeed differ as expected in terms of the identified three immersion components.

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Crossref · 10.26503/dl.v2005i1.119

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Metadata

Authors
Ermi, L., & Mäyrä, F.
Venue
DiGRA Digital Library
Published
2005-01-01
Volume
3
Pages
15-27
ISSN
2342-9666
OpenAlex
W2160367221
Cited by
786
References
27
FWCI
26.45
Type
conference paper
Language
en
Open access
gold

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CoChat. (2026). Citation check: Fundamental Components of the Gameplay Experience: Analysing Immersion. https://app.cochat.ai/papers/10.26503/dl.v2005i1.119
The paper
Ermi, L., & Mäyrä, F. (2005). Fundamental Components of the Gameplay Experience: Analysing Immersion. DiGRA Digital Library. https://doi.org/10.26503/dl.v2005i1.119

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.