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

^*Bu çalışma için yazışmadan sorumlu yazar

Yapay Zeka ve Veri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Advances in Computer Games - 17th International Conference, ACG 2021, Revised Selected Papers
Editörler	Cameron Browne, Akihiro Kishimoto, Jonathan Schaeffer
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	197-207
Sayfa sayısı	11
ISBN (Basılı)	9783031114878
DOI'lar	https://doi.org/10.1007/978-3-031-11488-5_18
Yayın durumu	Yayınlandı - 2022
Etkinlik	17th International Conference on Advances in Computer Games, ACG 2021 - Virtual, Online Süre: 23 Kas 2021 → 25 Kas 2021

Yayın serisi

Adı	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim	13262 LNCS
ISSN (Basılı)	0302-9743
ISSN (Elektronik)	1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	17th International Conference on Advances in Computer Games, ACG 2021
Şehir	Virtual, Online
Periyot	23/11/21 → 25/11/21

Bibliyografik not

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Finansman

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

Finansörler
Pancreatic Cancer Action

Belgeye Erişim

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

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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); Hac. 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. editör / 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)).

@inproceedings{8d43d1b143554290b2572ccd65a0a625,

title = "A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA",

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.",

keywords = "Event-Trait Mapping, PCA, Player Modeling, Player Profiling, World Of Warcraft",

author = "Gunes, \{M. Akif\} and Kavum, \{M. Fatih\} and Sanem Sariel",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 17th International Conference on Advances in Computer Games, ACG 2021 ; Conference date: 23-11-2021 Through 25-11-2021",

year = "2022",

doi = "10.1007/978-3-031-11488-5\_18",

language = "English",

isbn = "9783031114878",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "197--207",

editor = "Cameron Browne and Akihiro Kishimoto and Jonathan Schaeffer",

booktitle = "Advances in Computer Games - 17th International Conference, ACG 2021, Revised Selected Papers",

address = "Germany",

}

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), hac. 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); Hac. 13262 LNCS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A Generic Approach for Player Modeling Using Event-Trait Mapping Supported by PCA

AU - Gunes, M. Akif

AU - Kavum, M. Fatih

AU - Sariel, Sanem

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Event-Trait Mapping

KW - PCA

KW - Player Modeling

KW - Player Profiling

KW - World Of Warcraft

UR - https://www.scopus.com/pages/publications/85135831864

U2 - 10.1007/978-3-031-11488-5_18

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

M3 - Conference contribution

AN - SCOPUS:85135831864

SN - 9783031114878

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 197

EP - 207

BT - Advances in Computer Games - 17th International Conference, ACG 2021, Revised Selected Papers

A2 - Browne, Cameron

A2 - Kishimoto, Akihiro

A2 - Schaeffer, Jonathan

PB - Springer Science and Business Media Deutschland GmbH

T2 - 17th International Conference on Advances in Computer Games, ACG 2021

Y2 - 23 November 2021 through 25 November 2021

ER -

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, editörler, 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

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap