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

doi:10.1109/CIG.2016.7860423

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: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

25 Citations (Scopus)

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 language	English
Title of host publication	2016 IEEE Conference on Computational Intelligence and Games, CIG 2016
Publisher	IEEE
Publication date	21 Feb 2017
Article number	7860423
ISBN (Electronic)	9781509018833
DOIs	https://doi.org/10.1109/CIG.2016.7860423
Publication status	Published - 21 Feb 2017
Event	2016 IEEE Conference on Computational Intelligence and Games, CIG 2016 - Santorini, Greece Duration: 20 Sept 2016 → 23 Sept 2016

Conference

Conference	2016 IEEE Conference on Computational Intelligence and Games, CIG 2016
Country/Territory	Greece
City	Santorini
Period	20/09/2016 → 23/09/2016

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10.1109/CIG.2016.7860423

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@inproceedings{120ac435068846f5b216eab4cc420857,

title = "Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny",

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.",

author = "Anders Drachen and James Green and Chester Gray and Elie Harik and Patty Lu and Rafet Sifa and Diego Klabjan",

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language = "English",

booktitle = "2016 IEEE Conference on Computational Intelligence and Games, CIG 2016",

publisher = "IEEE",

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Drachen, A, Green, J, Gray, C, Harik, E, Lu, P, Sifa, R & Klabjan, D 2017, Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny. in 2016 IEEE Conference on Computational Intelligence and Games, CIG 2016., 7860423, IEEE, 2016 IEEE Conference on Computational Intelligence and Games, CIG 2016, Santorini, Greece, 20/09/2016. https://doi.org/10.1109/CIG.2016.7860423

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AU - Drachen, Anders

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AU - Harik, Elie

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AU - Klabjan, Diego

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N2 - 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.

AB - 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.

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

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