Automatic player behavior analysis system using trajectory data in a massive multiplayer online game
- Authors
- Kang, Shin-Jin; Kim, Young Bin; Park, Taejung; Kim, Chang-Hun
- Issue Date
- 10월-2013
- Publisher
- SPRINGER
- Keywords
- Trajectory clustering; Behavior analysis; World of Warcraft; MMORPG; MMOG
- Citation
- MULTIMEDIA TOOLS AND APPLICATIONS, v.66, no.3, pp.383 - 404
- Indexed
- SCIE
SCOPUS
- Journal Title
- MULTIMEDIA TOOLS AND APPLICATIONS
- Volume
- 66
- Number
- 3
- Start Page
- 383
- End Page
- 404
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/101936
- DOI
- 10.1007/s11042-012-1052-x
- ISSN
- 1380-7501
- Abstract
- This paper presents a new automated behavior analysis system using a trajectory clustering method for massive multiplayer online games (MMOGs). The description of a player's behavior is useful information in MMOG development, but the monitoring and evaluation cost of player behavior is expensive. In this paper, we suggest an automated behavior analysis system using simple trajectory data with few monitoring and evaluation costs. We used hierarchical classification first, then applied an extended density based clustering algorithm for behavior analysis. We show the usefulness of our system using trajectory data from the commercial MMOG World of Warcraft (WOW). The results show that the proposed system can analyze player behavior and automatically generate insights on players' experience from simple trajectory data.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.