An empirical biometric-based study for user identification from different roles in the online game League of Legends

DA SILVA, VR and DA COSTA ABREU, Marjory (2017). An empirical biometric-based study for user identification from different roles in the online game League of Legends. Proceedings of the III Potiguar Games, Entertainment and Education Meeting, 2117, 1-10.

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    Abstract

    © 2017 CEUR-WS. All rights reserved. The popularity of computer games has grown exponentially in the last few years. In some games, players can choose to play with different characters from a pre-defined list, exercising distinct roles in each match. Although such games were created to promote competition and promote self-improvement, there are several recurrent issues. One that has received the least amount of attention is the problem of "account sharing" so far is when a player pays more experienced players to progressing in the game. The companies running those games tend to punish this behaviour, but this specific case is hard to identify. The aim of this study is to use a database of mouse and keystroke dynamics biometric data of League of Legends players as a case study to understand the specific characteristics a player will keep (or not) when playing different roles and distinct characters.

    Item Type: Article
    Page Range: 1-10
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 04 Feb 2020 15:15
    Last Modified: 04 Feb 2020 15:17
    URI: http://shura.shu.ac.uk/id/eprint/25396

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