Inferring Player Rating from Performance Data in Massively Multiplayer Online Role-Playing Games (MMORPGs)
- 1 January 2009
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4, 1199-1204
- https://doi.org/10.1109/cse.2009.452
Abstract
This paper examines online player performance in EverQuest II, a popular massively multiplayer online role-playing game (MMORPG) developed by Sony Online Entertainment. The study uses the game's player performance data to devise performance metrics for online players. We report three major findings. First, we show that the game's point-scaling system overestimates performances of lower level players and underestimates performances of higher level players. We present a novel point-scaling system based on the game's player performance data that addresses the underestimation and overestimation problems. Second, we present a highly accurate predictive model for player performance as a function of past behavior. Third, we show that playing in groups impacts individual performance and that player-level characteristics alone are insufficient in explaining an individual's performance, which calls for a different set of performance metrics methods.Keywords
This publication has 15 references indexed in Scilit:
- Groups and Goblins: The Social and Civic Impact of an Online GameJournal of Broadcasting & Electronic Media, 2006
- Bridging the methodological divide in game researchSimulation & Gaming, 2005
- IMPACT OF WORK TEAMS ON MANUFACTURING PERFORMANCE: A LONGITUDINAL FIELD STUDY.The Academy of Management Journal, 1996
- EXCELLENCE AT ROHM AND HAAS KENTUCKY: A CASE STUDY OF WORK‐TEAM INTRODUCTION IN MANUFACTURINGProduction and Operations Management, 1994
- How Common is Workplace Transformation and Who Adopts it?ILR Review, 1994
- Situated LearningPublished by Cambridge University Press (CUP) ,1991
- The Case of Workgroups in Manufacturing OperationsCalifornia Management Review, 1991
- Measuring manufacturing performance: a new challenge for managerial accounting researchPublished by Springer Science and Business Media LLC ,1983
- Production-Line Balances for Mixed-Model LinesManagement Science, 1972
- Mixed Model Line Balancing with Smoothed Station AssignmentsManagement Science, 1970