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An exploratory study of the association between online gaming addiction and enjoyment motivations for playing massively multiplayer online role-playing games
- Source :
- Computers in Human Behavior. 50:221-230
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- Latent Class Analysis revealed seven classes of motivations for playing MMORPGs.Five classes of gaming addiction-related experiences were extracted.Three classes of motivations for playing were linked to higher risk of addiction. Massively multiplayer online role-playing games (MMORPGs) are a popular form of entertainment used by millions of gamers worldwide. Potential problems relating to MMORPG play have emerged, particularly in relation to being addicted to playing in such virtual environments. In the present study, factors relating to online gaming addiction and motivations for playing in MMORPGs were examined to establish whether they were associated with addiction. A sample comprised 1167 gamers who were surveyed about their gaming motivations. Latent Class Analysis revealed seven classes of motivations for playing MMORPGs, which comprised: (1) novelty; (2) highly social and discovery-orientated; (3) aggressive, anti-social and non-curious; (4) highly social, competitive; (5) low intensity enjoyment; (6) discovery-orientated; and (7) social classes. Five classes of gaming addiction-related experiences were extracted including: (1) high risk of addiction, (2) time-affected, (3) intermediate risk of addiction, (4) emotional control, and (5) low risk of addiction classes. Gender was a significant predictor of intermediate risk of addiction and emotional control class membership. Membership of the high risk of addiction class was significantly predicted by belonging to a highly social and competitive class, a novelty class, or an aggressive, anti-social, and non-curious class. Implications of these findings for assessment and treatment of MMORPG addiction are discussed.
- Subjects :
- Class (computer programming)
Addiction
media_common.quotation_subject
Exploratory research
Novelty
Social class
Latent class model
Human-Computer Interaction
Entertainment
Arts and Humanities (miscellaneous)
mental disorders
Psychology
Association (psychology)
Social psychology
General Psychology
media_common
Subjects
Details
- ISSN :
- 07475632
- Volume :
- 50
- Database :
- OpenAIRE
- Journal :
- Computers in Human Behavior
- Accession number :
- edsair.doi.dedup.....03ebc95186fe0f90a4b52e4733a23b22
- Full Text :
- https://doi.org/10.1016/j.chb.2015.03.075