research-article

Ranking Practices and Distinction in League of Legends

Authors:

Yong Ming KowAuthors Info & Claims

CHI PLAY '16: Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play

Pages 4 - 9

https://doi.org/10.1145/2967934.2968078

Published: 15 October 2016 Publication History

Abstract

Player ranking is a common feature of competitive online games, but little research work has closely examined the ways it mediates player practices within this game genre. In this paper, we present a qualitative study of player practices around ranking in League of Legends (LoL), published by Riot Games and currently one of the most popular eSports games. We found that ranking is a cornerstone of LoL's competitive gaming practices, shaping the ways players distinguished and narrated their game experiences, thus engendering a culture of collaboration and competition through distinction.

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Cited By

Garg RDeshbandhu ARangaswamy N(2025)Dichotomy of Game Design and Gaming Practice: Examining Gaming Toxicity and Online Gaming Communities in IndiaHuman-Computer Interaction. Design and Research10.1007/978-3-031-80832-6_1(3-22)Online publication date: 14-Feb-2025
https://doi.org/10.1007/978-3-031-80832-6_1
Donner F(2024)Structures that tilt: Understanding “toxic” behaviors in online gamingNew Media & Society10.1177/14614448241270446Online publication date: 19-Aug-2024
https://doi.org/10.1177/14614448241270446
Zhang ZKou Y(2024)Casual Competition by Design: A Study of the All Random All Mid (ARAM) Mode in League of LegendsProceedings of the ACM on Human-Computer Interaction10.1145/36869928:CSCW2(1-28)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686992
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Index Terms

Ranking Practices and Distinction in League of Legends
1. Human-centered computing

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cover image ACM Conferences

CHI PLAY '16: Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play

October 2016

424 pages

ISBN:9781450344562

DOI:10.1145/2967934

General Chairs:
Anna Cox
University College London, UK
,
Phoebe O. Toups Dugas
New Mexico State University, USA
,
Program Chairs:
Regan L. Mandryk
University of Saskatchewan, Canada
,
Paul Cairns
University of York, UK

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 15 October 2016

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CHI PLAY '16

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CHI PLAY '16: The annual symposium on Computer-Human Interaction in Play

October 16 - 19, 2016

Texas, Austin, USA

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CHI PLAY '16 Paper Acceptance Rate 36 of 124 submissions, 29%;

Overall Acceptance Rate 421 of 1,386 submissions, 30%

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Cited By

Garg RDeshbandhu ARangaswamy N(2025)Dichotomy of Game Design and Gaming Practice: Examining Gaming Toxicity and Online Gaming Communities in IndiaHuman-Computer Interaction. Design and Research10.1007/978-3-031-80832-6_1(3-22)Online publication date: 14-Feb-2025
https://doi.org/10.1007/978-3-031-80832-6_1
Donner F(2024)Structures that tilt: Understanding “toxic” behaviors in online gamingNew Media & Society10.1177/14614448241270446Online publication date: 19-Aug-2024
https://doi.org/10.1177/14614448241270446
Zhang ZKou Y(2024)Casual Competition by Design: A Study of the All Random All Mid (ARAM) Mode in League of LegendsProceedings of the ACM on Human-Computer Interaction10.1145/36869928:CSCW2(1-28)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686992
Ogami TAmano KTsuruoka Y(2024)MJ-DLVAT: A Deep Learning Value Assessment Technique for Mahjong2024 IEEE Conference on Games (CoG)10.1109/CoG60054.2024.10645601(1-8)Online publication date: 5-Aug-2024
https://doi.org/10.1109/CoG60054.2024.10645601
Xia TLin XMo XSu QDing S(2024)Players’ continuous willingness to play in MOBA game ranking mode: through the lens of self-determination theory and social comparison theoryHumanities and Social Sciences Communications10.1057/s41599-024-03934-111:1Online publication date: 22-Oct-2024
https://doi.org/10.1057/s41599-024-03934-1
Trotter MObine ESharpe B(2023)Self-regulation, stress appraisal, and esport action performanceFrontiers in Psychology10.3389/fpsyg.2023.126577814Online publication date: 10-Oct-2023
https://doi.org/10.3389/fpsyg.2023.1265778
Von Felten NBrühlmann FPerrig S(2022)Independent Validation of the Video Game Dispositional Flow Scale With League of Legends PlayersExtended Abstracts of the 2022 Annual Symposium on Computer-Human Interaction in Play10.1145/3505270.3558351(44-50)Online publication date: 2-Nov-2022
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Staat DWallner GBernhaupt R(2022)Towards a Community-Based Ranking System of Overwatch PlayersEntertainment Computing – ICEC 202210.1007/978-3-031-20212-4_25(309-319)Online publication date: 1-Nov-2022
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Jadowski RCunningham S(2022)Statistical Models for Predicting Results in Professional League of LegendsArtsIT, Interactivity and Game Creation10.1007/978-3-030-95531-1_10(138-152)Online publication date: 10-Feb-2022
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Kou Y(2021)Punishment and Its Discontents: An Analysis of Permanent Ban in an Online Game CommunityProceedings of the ACM on Human-Computer Interaction10.1145/34760755:CSCW2(1-21)Online publication date: 18-Oct-2021
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