Visualization of Online-Game Players Based on Their Action Behaviors
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 act...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2008-01-01
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| Series: | International Journal of Computer Games Technology |
| Online Access: | http://dx.doi.org/10.1155/2008/906931 |
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| _version_ | 1832563945376841728 |
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| author | Ruck Thawonmas Keita Iizuka |
| author_facet | Ruck Thawonmas Keita Iizuka |
| author_sort | Ruck Thawonmas |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-dc4a2ad2874c488c915ab93377dff1ec |
| institution | Kabale University |
| issn | 1687-7047 1687-7055 |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Computer Games Technology |
| spelling | doaj-art-dc4a2ad2874c488c915ab93377dff1ec2025-02-03T01:12:16ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552008-01-01200810.1155/2008/906931906931Visualization of Online-Game Players Based on Their Action BehaviorsRuck Thawonmas0Keita Iizuka1Intelligent Computer Entertainment Laboratory, Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577, JapanIntelligent Computer Entertainment Laboratory, Graduate School of Science and Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577, JapanWe 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.http://dx.doi.org/10.1155/2008/906931 |
| spellingShingle | Ruck Thawonmas Keita Iizuka Visualization of Online-Game Players Based on Their Action Behaviors International Journal of Computer Games Technology |
| title | Visualization of Online-Game Players Based on Their Action Behaviors |
| title_full | Visualization of Online-Game Players Based on Their Action Behaviors |
| title_fullStr | Visualization of Online-Game Players Based on Their Action Behaviors |
| title_full_unstemmed | Visualization of Online-Game Players Based on Their Action Behaviors |
| title_short | Visualization of Online-Game Players Based on Their Action Behaviors |
| title_sort | visualization of online game players based on their action behaviors |
| url | http://dx.doi.org/10.1155/2008/906931 |
| work_keys_str_mv | AT ruckthawonmas visualizationofonlinegameplayersbasedontheiractionbehaviors AT keitaiizuka visualizationofonlinegameplayersbasedontheiractionbehaviors |