The Relationship between Player’s Value Systems and Their In-Game Behavior in a Massively Multiplayer Online Role-Playing Game

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

This study examines the relationship between player’s value systems and their actions in playing a massively multiplayer online role-playing game. Online survey data from 1,577 players were paired with their behavioral metrics within the game. A number of correlations were found between the scores of value system and the in-game metrics. Participants that scored high on the Red value system tend to spend more real money in the game, level up their character and ability as quickly as possible, and seek other achievements in the forms offered by game world. These characteristics for fun, power, and immediate gratification are also predicted by the Red value system. The finding provides valuable information on how to better design, evaluate, and understand enjoyment in games. The results also show the possibility of using the game as a platform in inferring players’ value systems and in training people to develop certain skills.

Related collections

Most cited references 7

Record: found
Abstract: not found
Article: not found

Virtual item sales as a revenue model: identifying attributes that drive purchase decisions

Vili Lehdonvirta (2009)

0 comments Cited 46 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Player Types: A Meta-synthesis

Juho Hamari, Janne Tuunanen (2014)

This paper investigates different ways in which players have been typified in past research literature in order to distinguish relevant typologies for further research as well as for designing and marketing of games. The goal is to synthesize the results of various studies and to find the prevailing concepts, compare them, and draw implications to further studies. The research process for this study proceeded from a literature search, to author-centric (Webster & Watson 2002) identification and categorization of previous works based on the established larger factors such as demographic, psychographic and behavioral variables. The previous works on player typologies were further analyzed using concept-centric approach and synthesized according to common and repeating factors in the previous studies. The results indicate that player types in previous literature can be synthesized into seven primary dimensions: Intensity, Achievement, Exploration, Sociability, Domination, Immersion and In-game demographics.