Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny

Anders Drachen, James Green, Chester Gray, Elie Harik, Patty Lu, Rafet Sifa, Diego Klabjan

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

12 Scopus citations

Abstract

Behavioral profiling in digital games with persistent online worlds are vital for a variety of tasks ranging from understanding the player community to informing design and business decisions. In this paper behavioral profiles are developed for the online multiplayer shooter/role-playing game Destiny, the most expensive game to be launched to date and a unique hybrid incorporating designs from multiple traditional genres. The profiles are based on playstyle features covering a total of 41 features and over 4,800 randomly selected players at the highest level in the game. Four clustering models were applied (k-means, Gaussian mixture models, k-maxoids and Archetype Analysis) across the two primary game modes in Destiny: Player-versus-Player and Player-versus-Environment. The performance of each model is described and cross-model analysis is used to identify four to five distinct playstyles across each method, using a variety of similarity metrics. Discussion on which model to use in different circumstances is provided. The profiles are translated into design language and the insights they provide into the behavior of Destiny's player base described.

Original languageEnglish (US)
Title of host publication2016 IEEE Conference on Computational Intelligence and Games, CIG 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781509018833
DOIs
StatePublished - Jul 2 2016
Event2016 IEEE Conference on Computational Intelligence and Games, CIG 2016 - Santorini, Greece
Duration: Sep 20 2016Sep 23 2016

Publication series

NameIEEE Conference on Computatonal Intelligence and Games, CIG
Volume0
ISSN (Print)2325-4270
ISSN (Electronic)2325-4289

Other

Other2016 IEEE Conference on Computational Intelligence and Games, CIG 2016
CountryGreece
CitySantorini
Period9/20/169/23/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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    Drachen, A., Green, J., Gray, C., Harik, E., Lu, P., Sifa, R., & Klabjan, D. (2016). Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny. In 2016 IEEE Conference on Computational Intelligence and Games, CIG 2016 [7860423] (IEEE Conference on Computatonal Intelligence and Games, CIG; Vol. 0). IEEE Computer Society. https://doi.org/10.1109/CIG.2016.7860423