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Pervasive game flow: understanding player enjoyment in pervasive gaming
Abstract
Player enjoyment is perhaps the most important issue in successful game design, but so far it has not been addressed in the area of pervasive games. Departing from the general gameflow model, this article presents an initial outline for a new model of pervasive player enjoyment, that is, the pervasive gameflow model, which is described and discussed in terms of additions and elaborations to the general gameflow model. It is intended to serve as a departure point for further empirical studies on player enjoyment in pervasive games.
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Sweetser (2005) · doi:10.1145/1077246.1077253 · Cited by 2,124
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Mekler, E. D., Bopp, J. A., Tuch, A. N., & Opwis, K. (2014) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557078 · Cited by 211
Like bees around the hive: a comparative study of a mobile augmented reality map
Morrison, A., Oulasvirta, A., Peltonen, P., Lemmela, S., Jacucci, G., Reitmayr, G., Näsänen, J., & Juustila, A. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518991 · Cited by 199
Dynamic difficulty using brain metrics of workload
Afergan, D., Peck, E. M., Solovey, E. T., Jenkins, A., Hincks, S. W., Brown, E. T., Chang, R., & Jacob, R. J. K. (2014) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557230 · Cited by 148
Online social games: The effect of social comparison elements on continuance behaviour
Esteves, J., Valogianni, K., & Greenhill, A. (2021) · Information & Management · doi:10.1016/j.im.2021.103452 · Cited by 73
Metadata
- Authors
- Jegers, K.
- Venue
- Computers in Entertainment
- Published
- 2007-01
- Volume
- 5
- Issue
- 1
- Pages
- 9
- ISSN
- 1544-3574 (ISSN-L)
- OpenAlex
- W2073093261
- Cited by
- 172
- References
- 1
- FWCI
- 17.72
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
