Team performance prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs)

Kyong Jin Shim, Jaideep Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

In this study, we propose a comprehensive performance management tool for measuring and reporting operational activities of teams. This study uses performance data of game players and teams in EverQuest II, a popular MMORPG developed by Sony Online Entertainment, to build performance prediction models for task performing teams. The prediction models provide a projection of task performing team's future performance based on the past performance patterns of participating players on the team as well as team characteristics. While the existing game system lacks the ability to predict team-level performance, the prediction models proposed in this study are expected to be a useful addition with potential applications in player and team recommendations. First, we present player and team performance metrics that can be generalized to all types of games with the concept of point gain, leveling up, and session or completion time. Second, we show that larger or more advanced teams do not necessarily achieve higher team performance than smaller or less advanced teams. Third, we present novel team performance prediction methods based on the past performance patterns of participating players and team characteristics.

Original languageEnglish
Title of host publicationProceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust
Pages128-136
Number of pages9
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010 - Minneapolis, MN, United States
Duration: 20 Aug 201022 Aug 2010

Other

Other2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010
CountryUnited States
CityMinneapolis, MN
Period20/8/1022/8/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

Cite this

Shim, K. J., & Srivastava, J. (2010). Team performance prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). In Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust (pp. 128-136). [5590778] https://doi.org/10.1109/SocialCom.2010.27

Team performance prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). / Shim, Kyong Jin; Srivastava, Jaideep.

Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust. 2010. p. 128-136 5590778.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shim, KJ & Srivastava, J 2010, Team performance prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). in Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust., 5590778, pp. 128-136, 2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010, Minneapolis, MN, United States, 20/8/10. https://doi.org/10.1109/SocialCom.2010.27
Shim KJ, Srivastava J. Team performance prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). In Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust. 2010. p. 128-136. 5590778 https://doi.org/10.1109/SocialCom.2010.27
Shim, Kyong Jin ; Srivastava, Jaideep. / Team performance prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs). Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust. 2010. pp. 128-136
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