research-article

Discovering the influence of socioeconomic factors on online game behaviors

Authors:

Dahai GuoAuthors Info & Claims

XSEDE '15: Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure

Article No.: 7, Pages 1 - 7

https://doi.org/10.1145/2792745.2792752

Published: 26 July 2015 Publication History

Abstract

With the rapid growth of popularity of online games in recent years, research has increased the knowledge about game playing behaviors and some demographic correlates, such as age and gender. Contributing to this line of research, we further examined the associations of socioeconomic factors (education, employment, income, and poverty status) and demographic characteristics (age, gender, and race/ethnicity) with online gaming behaviors (player count, total game sessions, total actions taken, and maximum level reached). We focused on one form of online games, Massively Multiplayer Online Games (MMOGs), which has received much attention recently. Analyses were conducted by extracting and linking the related data from the EverQuest II game logs, a popular form of MMOGs, and the summarized U.S. Census data for the zip-code areas of players from the state of Illinois (n=495). This study was performed on Gordon, a supercomputer hosted at San Diego Supercomputer center.

Results from multiple regression analyses indicated positive associations between education rate (Bachelor's degree or above) and employment rate (for 16 years or older) at the zip-code level with game playing behaviors. The impact of median income on gaming behaviors appeared to operate through education and employment. Although male players outnumbered female players, female players tended to play more games sessions and take more actions. Results also indicated that a higher percentage of white population in a geography area seemed to be negatively related to game playing activities. These study findings provides valuable information and highlight the importance of further research and theoretical development in this area.

References

[1]

Anderson, C., & Bushman, B. (2001). Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature. Psychological Science, 12, 353--359.

[2]

Anderson, C., & Dill, K. (2000). Video games and aggressive thoughts, feelings, and behavior in the laboratory and in life. Journal of Personality and Social Psychology, 78, 772--790.

[3]

Becker, G. S. (1993). Human capital: a theoretical and empirical analysis, with special reference to education. Chicago: University of Chicago Press.

[4]

Brox, R-M. (2011). The influence of social factors on gaming behavior. Unpublished Bachelorthesis, Department of Mental Health Promotion, University of Twente.

[5]

Cai, Y. D., Ahmed, I., Pilny, A., Brown, C., Atouba, Y., Poole, M. S. (2013). SocialMapExplorer: Visualizing Social Networks of Massively Multiplayer Online Games in Temporal-Geographic Space. Proceeding of XSEDE13, July 2013, San Diego, CA.

Digital Library

[6]

Cai, Y. D., Cockerill, T. (2009). Supporting TeraGrid Applications by Advanced Database Technologies. Proceeding of TeraGrid09, June 2009, Arlington, VA.

[7]

Ducheneaut N., Yee, N., Nickell, E., & Moore, R. (2006, April). "Alone together?" Exploring the Social Dynamics of Massively Multiplayer Online Games. Paper presented at the CHI 2006, Montreal, Quebec.

Digital Library

[8]

Entertainment Software Association (2014). 2014 Essential Facts About the Computer and Video Game Industry. Retrieved from: http://www.theesa.com/facts/pdfs/ESA_EF_2014.pdf

[9]

Funk, J., Hagan, J., Schimming, J., Bullock, W., Buchman, D., & Myers, M. (2002). Aggression and psychopathology in adolescents with a preference for violent electronic games. Aggressive Behavior, 28, 134--144.

[10]

Griffiths, M. D., Davies, M. N. O., Chappell, D. (2004). Demographic factors and playing variables in online computer gaming. CyberPsychology & Behavior, 7 (4), 479--487.

[11]

Han, J., Kamber, M., and Pei, J., Data Mining: Concepts and Techniques, 3^rd edition, Morgan Kaufmann, 2011.

Digital Library

[12]

Hauser, R. M. and Warren, J. R. (1997), Socioeconomic Indexes for Occupations: A Review, Update, and Critique. Sociological Methodology, 27, 177--298.

[13]

Lu, L., Shen, C., & Williams, D. (2014). Friending your way up the ladder: Connecting massive multiplayer online game behaviors with offline leadership. Computers in Human Behavior, 35, 54--60.

[14]

Ng, B. D., & Wiemer-Hastings, P. (2005). Addiction to the Internet and Online Gaming.

[15]

CyberPsychology & Behaviour, 8(2), 110--113.

[16]

Park, S-B., & Chung, N. (2011). Mediating roles of self-presentation desire in online game community commitment and trust behavior of Massive Multiplayer Online Role-Playing Games. Computers in Human Behavior, 27 (6), 2372--2379.

Digital Library

[17]

Shen, C. (2014). Network patterns and social architecture in Massively Multiplayer Online Games: Mapping the social world of EverQuest II. New Media & Society, 16 (4), 672--691.

[18]

Sherraden, M. (1991). Assets and the poor: A new American welfare policy. Armonk, NY: Sharpe

[19]

Steinkeuhler, C. A., & Williams, D. (2006). Where everybody knows your (screen) name: online game as "third places". Journal of Computer-Mediated Communications, 11, 885--909.

[20]

Szell, M., & Thurner, S. (2010). Measuring social dynamics in a massive multiplayer online game. Social Networks, 32 (4), 313--329.

[21]

White, P. (2008). MMOGData: Charts. Tuxedo Park, NY: Voig, Inc.

[22]

Williams, D., Consalvo, M., Caplan, S., & Yee, N. (2009). Looking for gender: gender roles and behaviors among online gamers. Journal of Communication, 59, 700--725.

[23]

Williams, D., Yee, N., & Caplan, S. E. (2008). Who plays, how much, and why? Debunking the stereotypical game profile. Journal of Computer-Mediated Communications, 13, 993--1018.

[24]

Yee, N. (2006). The demographics, motivations and derived experiences of users of Massively Multi-User Online Graphical environment. Teleoperators and Virtual Environments, 15, 309--329.

Digital Library

[25]

Zhong, Z-J. (2011). The effects of collective MMORPG (Massively Multiplayer Online Role-Playing games) play on gamers' online and offline social capital. Computers in Human Behavior, 27(6), 2352--2363.

Digital Library

[26]

United States Census Bureau (http://factfinder.census.gov)

Cited By

Schwarz AWinkens Lde Vet EOssendrijver DBouwsema KSimons M(2023)Design Features Associated With Engagement in Mobile Health Physical Activity Interventions Among Youth: Systematic Review of Qualitative and Quantitative StudiesJMIR mHealth and uHealth10.2196/4089811(e40898)Online publication date: 6-Mar-2023
https://doi.org/10.2196/40898
Harnadi B(2019)Discovering Factors Associated with Online Gaming Behaviors2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE.2019.8864157(21-25)Online publication date: Jul-2019
https://doi.org/10.1109/JCSSE.2019.8864157

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Discovering the influence of socioeconomic factors on online game behaviors

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XSEDE '15: Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure

July 2015

296 pages

ISBN:9781450337205

DOI:10.1145/2792745

General Chair:
Gregory D. Peterson
National Institute of Computational Sciences

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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San Diego Super Computing Ctr: San Diego Super Computing Ctr
HPCWire: HPCWire
Omnibond: Omnibond Systems, LLC
SGI
Internet2
Indiana University: Indiana University
CASC: The Coalition for Academic Scientific Computation
NICS: National Institute for Computational Sciences
Intel: Intel
DDN: DataDirect Networks, Inc
DELL
CORSA: CORSA Technology
ALLINEA: Allinea Software
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RENCI: Renaissance Computing Institute

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 July 2015

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National Science Foundation

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XSEDE '15

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San Diego Super Computing Ctr
HPCWire
Omnibond
Indiana University
CASC
NICS
Intel
DDN
CORSA
ALLINEA
RENCI

XSEDE '15: Extreme Science Engineering Discovery Environment 2015 Conference

July 26 - 30, 2015

Missouri, St. Louis

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XSEDE '15 Paper Acceptance Rate 49 of 70 submissions, 70%;

Overall Acceptance Rate 129 of 190 submissions, 68%

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Cited By

Schwarz AWinkens Lde Vet EOssendrijver DBouwsema KSimons M(2023)Design Features Associated With Engagement in Mobile Health Physical Activity Interventions Among Youth: Systematic Review of Qualitative and Quantitative StudiesJMIR mHealth and uHealth10.2196/4089811(e40898)Online publication date: 6-Mar-2023
https://doi.org/10.2196/40898
Harnadi B(2019)Discovering Factors Associated with Online Gaming Behaviors2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE.2019.8864157(21-25)Online publication date: Jul-2019
https://doi.org/10.1109/JCSSE.2019.8864157

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