The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Who plays, how much, and why? Debunking the stereotypical gamer profile
Open accessAbstract
Online games have exploded in popularity, but for many researchers access to players has been difficult. The study reported here is the first to collect a combination of survey and behavioral data with the cooperation of a major virtual world operator. In the current study, 7,000 players of the massively multiplayer online game (MMO) EverQuest 2 were surveyed about their offline characteristics, their motivations and their physical and mental health. These self-report data were then combined with data on participants’ actual in-game play behaviors, as collected by the game operator. Most of the results defy common stereotypes in surprising and interesting ways and have implications for communication theory and for future investigations of games.
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Cites
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Demographic differences in perceived benefits from gamification
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Antecedents and consequences of game addiction
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Families that play together stay together: Investigating family bonding through video games
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Re-placing place in marketing: a resource-exchange place perspective
Rosenbaum, M. S., Kelleher, C., Friman, M., Kristensson, P., & Scherer, A. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.01.009 · Cited by 80
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Collaborative gaming and competition for CS-STEM education using SPHERES Zero Robotics
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Player Communities in Multiplayer Online Games: A Systematic Review of Empirical Research
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Metadata
- Authors
- Williams, D., Yee, N., & Caplan, S. E.
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-07
- Volume
- 13
- Issue
- 4
- Pages
- 993-1018
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W2068675359
- Cited by
- 705
- References
- 8
- FWCI
- 161.46
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
