Towards a Community-Based Ranking System of Overwatch Players

David Staat; Günter Wallner; Regina Bernhaupt

doi:10.1007/978-3-031-20212-4_25

Towards a Community-Based Ranking System of Overwatch Players

David Staat
, Günter Wallner
, Regina Bernhaupt

Institut für Computergrafik

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

Competitive games usually feature some sort of ranking system to rank players or teams based on their performance. As such these ranking systems allow to draw comparisons across players. In many cases, however, the details of the ranking system are not made transparent to the player community. On the other hand, the community may have a different opinion on which factors should more or less influence a player’s or team’s rank. In this paper, we report on our first steps towards a community-based ranking system for the professional Overwatch scene built upon results of a survey conducted among the game’s community. Further, we reflect on challenges and discuss possibilities for future work.

Originalsprache	Englisch
Titel	Entertainment Computing - ICEC 2022
Herausgeber*innen	Barbara Göbl, Erik van der Spek, Jannicke Baalsrud Hauge, Jannicke Baalsrud Hauge, Rod McCall
Seiten	309-319
Seitenumfang	11
DOIs	https://doi.org/10.1007/978-3-031-20212-4_25
Publikationsstatus	Veröffentlicht - 2022

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	13477 LNCS
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Wissenschaftszweige

102 Informatik
102003 Bildverarbeitung
102008 Computergraphik
102015 Informationssysteme
102020 Medizinische Informatik
103021 Optik

JKU-Schwerpunkte

Digital Transformation

Zugriff auf Dokument

10.1007/978-3-031-20212-4_25

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

Staat, D., Wallner, G., & Bernhaupt, R. (2022). Towards a Community-Based Ranking System of Overwatch Players. in B. Göbl, E. van der Spek, J. Baalsrud Hauge, J. Baalsrud Hauge, & R. McCall (Hrsg.), Entertainment Computing - ICEC 2022 (S. 309-319). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13477 LNCS). https://doi.org/10.1007/978-3-031-20212-4_25

Staat, David ; Wallner, Günter ; Bernhaupt, Regina. / Towards a Community-Based Ranking System of Overwatch Players. Entertainment Computing - ICEC 2022. Hrsg. / Barbara Göbl ; Erik van der Spek ; Jannicke Baalsrud Hauge ; Jannicke Baalsrud Hauge ; Rod McCall. 2022. S. 309-319 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{720b099967174c2c82bdbc70309cdea0,

title = "Towards a Community-Based Ranking System of Overwatch Players",

abstract = "Competitive games usually feature some sort of ranking system to rank players or teams based on their performance. As such these ranking systems allow to draw comparisons across players. In many cases, however, the details of the ranking system are not made transparent to the player community. On the other hand, the community may have a different opinion on which factors should more or less influence a player{\textquoteright}s or team{\textquoteright}s rank. In this paper, we report on our first steps towards a community-based ranking system for the professional Overwatch scene built upon results of a survey conducted among the game{\textquoteright}s community. Further, we reflect on challenges and discuss possibilities for future work.",

author = "David Staat and G{\"u}nter Wallner and Regina Bernhaupt",

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doi = "10.1007/978-3-031-20212-4\_25",

language = "English",

isbn = "978-3-031-20211-7",

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

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editor = "Barbara G{\"o}bl and \{van der Spek\}, Erik and \{Baalsrud Hauge\}, Jannicke and \{Baalsrud Hauge\}, Jannicke and Rod McCall",

booktitle = "Entertainment Computing - ICEC 2022",

}

Staat, D, Wallner, G & Bernhaupt, R 2022, Towards a Community-Based Ranking System of Overwatch Players. in B Göbl, E van der Spek, J Baalsrud Hauge, J Baalsrud Hauge & R McCall (Hrsg.), Entertainment Computing - ICEC 2022. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 13477 LNCS, S. 309-319. https://doi.org/10.1007/978-3-031-20212-4_25

Towards a Community-Based Ranking System of Overwatch Players. / Staat, David; Wallner, Günter; Bernhaupt, Regina.
Entertainment Computing - ICEC 2022. Hrsg. / Barbara Göbl; Erik van der Spek; Jannicke Baalsrud Hauge; Jannicke Baalsrud Hauge; Rod McCall. 2022. S. 309-319 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13477 LNCS).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Towards a Community-Based Ranking System of Overwatch Players

AU - Staat, David

AU - Wallner, Günter

AU - Bernhaupt, Regina

PY - 2022

Y1 - 2022

N2 - Competitive games usually feature some sort of ranking system to rank players or teams based on their performance. As such these ranking systems allow to draw comparisons across players. In many cases, however, the details of the ranking system are not made transparent to the player community. On the other hand, the community may have a different opinion on which factors should more or less influence a player’s or team’s rank. In this paper, we report on our first steps towards a community-based ranking system for the professional Overwatch scene built upon results of a survey conducted among the game’s community. Further, we reflect on challenges and discuss possibilities for future work.

AB - Competitive games usually feature some sort of ranking system to rank players or teams based on their performance. As such these ranking systems allow to draw comparisons across players. In many cases, however, the details of the ranking system are not made transparent to the player community. On the other hand, the community may have a different opinion on which factors should more or less influence a player’s or team’s rank. In this paper, we report on our first steps towards a community-based ranking system for the professional Overwatch scene built upon results of a survey conducted among the game’s community. Further, we reflect on challenges and discuss possibilities for future work.

UR - https://www.scopus.com/pages/publications/85142702107

U2 - 10.1007/978-3-031-20212-4_25

DO - 10.1007/978-3-031-20212-4_25

M3 - Conference proceedings

SN - 978-3-031-20211-7

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

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EP - 319

BT - Entertainment Computing - ICEC 2022

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Staat D, Wallner G, Bernhaupt R. Towards a Community-Based Ranking System of Overwatch Players. in Göbl B, van der Spek E, Baalsrud Hauge J, Baalsrud Hauge J, McCall R, Hrsg., Entertainment Computing - ICEC 2022. 2022. S. 309-319. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-20212-4_25