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Analysis of Matchmaking Optimization Systems Potential in Mobile eSports

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dc.contributor.author Wardaszko, Marcin
dc.contributor.author Ćwil, Małgorzata
dc.contributor.author Chojecki, Przemysław
dc.contributor.author Dąbrowski, Kajetan
dc.date.accessioned 2019-01-03T00:04:33Z
dc.date.available 2019-01-03T00:04:33Z
dc.date.issued 2019-01-08
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/59685
dc.description.abstract Matchmaking systems are one of the core features of experience in online gaming. They influence player satisfaction, engagement, and churn risk. The paper looks into the current state of the theoretical and practical implementation of such systems in the mobile gaming industry. We propose a basic classification of matchmaking systems into random and quasi-random, skill-based, role-based, technical factor-based, and engagement based. We also offer an analysis of matchmaking systems in 16 leading mobile Esport games. The dominant industry solution is skill and rank based systems with a different level of skill depth measurement. In the further part of the paper, we present a theoretical model of engagement and a time-optimized model.
dc.format.extent 8 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Games and Gaming
dc.subject Digital and Social Media
dc.subject esports, matchmaking, mobile gaming, system optimization, engagement modelling
dc.title Analysis of Matchmaking Optimization Systems Potential in Mobile eSports
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2019.297
Appears in Collections: Games and Gaming


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