A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA

M. Akif Gunes; M. Fatih Kavum; Sanem Sariel

doi:10.1007/978-3-031-11488-5_18

A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA

M. Akif Gunes^*, M. Fatih Kavum, Sanem Sariel

^*Corresponding author for this work

Department of Artificial Intelligence and Data Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Modeling players based on their in-game events is essential for predicting their future behaviors. Player modeling studies mostly target a specific game or genre. This makes it difficult to transfer existing methods from one game to another. In this study, we propose a generic event-trait mapping and unsupervised learning approach for player modeling that extends our earlier modeling method with Principal Component Analysis (PCA). We present a case study of this new approach on a dataset of ten thousand players of World of Warcraft (WoW), a massive multiplayer online role-playing game (MMORPG). The base and the extended approaches are compared with an AutoEncoder (AE) based approach on this dataset. The methods generate clusters (persona) as mixtures of different character traits. The best results are obtained with the extended event-trait mapping approach for player modeling.

Original language	English
Title of host publication	Advances in Computer Games - 17th International Conference, ACG 2021, Revised Selected Papers
Editors	Cameron Browne, Akihiro Kishimoto, Jonathan Schaeffer
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	197-207
Number of pages	11
ISBN (Print)	9783031114878
DOIs	https://doi.org/10.1007/978-3-031-11488-5_18
Publication status	Published - 2022
Event	17th International Conference on Advances in Computer Games, ACG 2021 - Virtual, Online Duration: 23 Nov 2021 → 25 Nov 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13262 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Advances in Computer Games, ACG 2021
City	Virtual, Online
Period	23/11/21 → 25/11/21

Bibliographical note

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Keywords

Event-Trait Mapping
PCA
Player Modeling
Player Profiling
World Of Warcraft

Access to Document

10.1007/978-3-031-11488-5_18

Cite this

Gunes, M. A., Kavum, M. F., & Sariel, S. (2022). A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA. In C. Browne, A. Kishimoto, & J. Schaeffer (Eds.), Advances in Computer Games - 17th International Conference, ACG 2021, Revised Selected Papers (pp. 197-207). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13262 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-11488-5_18

Gunes, M. Akif ; Kavum, M. Fatih ; Sariel, Sanem. / A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA. Advances in Computer Games - 17th International Conference, ACG 2021, Revised Selected Papers. editor / Cameron Browne ; Akihiro Kishimoto ; Jonathan Schaeffer. Springer Science and Business Media Deutschland GmbH, 2022. pp. 197-207 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Gunes, MA, Kavum, MF & Sariel, S 2022, A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA. in C Browne, A Kishimoto & J Schaeffer (eds), Advances in Computer Games - 17th International Conference, ACG 2021, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13262 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 197-207, 17th International Conference on Advances in Computer Games, ACG 2021, Virtual, Online, 23/11/21. https://doi.org/10.1007/978-3-031-11488-5_18

A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA. / Gunes, M. Akif; Kavum, M. Fatih; Sariel, Sanem.
Advances in Computer Games - 17th International Conference, ACG 2021, Revised Selected Papers. ed. / Cameron Browne; Akihiro Kishimoto; Jonathan Schaeffer. Springer Science and Business Media Deutschland GmbH, 2022. p. 197-207 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13262 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Gunes MA, Kavum MF, Sariel S. A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA. In Browne C, Kishimoto A, Schaeffer J, editors, Advances in Computer Games - 17th International Conference, ACG 2021, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 197-207. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-11488-5_18