Analyzing repetitive action in game based on sequence pattern matching
- Authors
- Kang, Shin Jin; Kim, Young Bin; Kim, Soo Kyun
- Issue Date
- Sep-2014
- Publisher
- SPRINGER HEIDELBERG
- Keywords
- Usability evaluation; Mouse tracking; Log data analysis
- Citation
- JOURNAL OF REAL-TIME IMAGE PROCESSING, v.9, no.3, pp 523 - 530
- Pages
- 8
- Journal Title
- JOURNAL OF REAL-TIME IMAGE PROCESSING
- Volume
- 9
- Number
- 3
- Start Page
- 523
- End Page
- 530
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/40818
- DOI
- 10.1007/s11554-013-0347-0
- ISSN
- 1861-8200
1861-8219
- Abstract
- As games become more popular, procedures which can support the analysis and understanding of players' behaviors are necessary for success of commercial games. This paper presents a log-based usability evaluation system to analyze user behavior in a gaming environment. We explore the potential of input log data for automated usability evaluation and visualization of player behavior in a game. We traced the keyboard input value and mouse movement of users using a sequence data mining technique in a gaming environment. And we also constructed 3D body meshes for the behavior analysis using Kinect interface. We visualized the data obtained by tracing and automatically searched repetitive patterns in the game and analyzed them. The result obtained from the analysis can be used for user interface optimization, fun evaluation, and the bot-detection field.
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- Appears in
Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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