The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Avatar Creation and Video Game Enjoyment: Effects of Life-Satisfaction, Game Competitiveness, and Identification with the Avatar
Open accessAbstract
Based on the model of complex entertainment experiences ( Vorderer, Klimmt, & Ritterfeld, 2004 ), the competitiveness of a computer game (media prerequisite) and the individual life satisfaction (user prerequisite) are hypothesized to influence game enjoyment. Avatar-player similarity was hypothesized to determine identification with the avatar, which in turn was suggested to enhance the enjoyment experience. In a quasi-experimental study, (N = 666) participants were asked to choose the personality features of an avatar for six different game scenarios. The results demonstrate that the games’ competitiveness as well as the participants’ life satisfaction influenced avatar choice and identification. In noncompetitive games, similar avatars were created, whereas in competitive games, dissimilar avatars were created. Participants who were well satisfied with their lives created avatars that resemble themselves in terms of personality factors, whereas dissatisfied users created dissimilar avatars. Player-avatar similarity was positively related to identification. This correlation was significantly stronger for noncompetitive games. Identification with the avatar was strongly related to game enjoyment. When controlling for the influence of identification on enjoyment, player-avatar similarity was negatively related to enjoyment, suggesting that identity play can be an independent source of enjoyment in computer games.
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Cites
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Cited by
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Metadata
- Authors
- Trepte, S., & Reinecke, L.
- Venue
- Journal of Media Psychology
- Publisher
- Hogrefe Publishing Group
- Published
- 2010-01
- Volume
- 22
- Issue
- 4
- Pages
- 171-184
- ISSN
- 1864-1105 (ISSN-L)
- 2151-2388
- OpenAlex
- W1880211625
- Cited by
- 271
- References
- 72
- FWCI
- 20.87
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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