Visualization of Online-Game Players Based on Their Action Behaviors
Joint Authors
Source
International Journal of Computer Games Technology
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-08-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
We propose a visualization approach for analyzing players' action behaviors.
The proposed approach consists of two visualization techniques: classical multidimensional scaling (CMDS) and KeyGraph.
CMDS is for discovering clusters of players who behave similarly.
KeyGraph is for interpreting action behaviors of players in a cluster of interest.
In order to reduce the dimension of matrices used in computation of the CMDS input, we exploit a time-series reduction technique recently proposed by us.
Our visualization approach is evaluated using log of an online game where three-player types according to Bartle's taxonomy are found, that is, achievers, explorers, and socializers.
American Psychological Association (APA)
Thawonmas, Ruck& Iizuka, Keita. 2008. Visualization of Online-Game Players Based on Their Action Behaviors. International Journal of Computer Games Technology،Vol. 2008, no. 2008, pp.1-9.
https://search.emarefa.net/detail/BIM-507065
Modern Language Association (MLA)
Thawonmas, Ruck& Iizuka, Keita. Visualization of Online-Game Players Based on Their Action Behaviors. International Journal of Computer Games Technology No. 2008 (2008), pp.1-9.
https://search.emarefa.net/detail/BIM-507065
American Medical Association (AMA)
Thawonmas, Ruck& Iizuka, Keita. Visualization of Online-Game Players Based on Their Action Behaviors. International Journal of Computer Games Technology. 2008. Vol. 2008, no. 2008, pp.1-9.
https://search.emarefa.net/detail/BIM-507065
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507065