Can Process Mining Detect Video Game Addiction Through Player's Character Class Behavior? - Collection des articles de recherche publiés par les étudiants de la MIAGE Sorbonne
Communication Dans Un Congrès Année : 2022

Can Process Mining Detect Video Game Addiction Through Player's Character Class Behavior?

La fouille de processus peut-elle détecter l'addiction aux jeux vidéos à travers le comportement type d'une classe de personnages ?

Résumé

For more than fifteen years, we have witnessed the effervescence of video games, first considered by a handful of scholars this hobby knew how to penetrate most homes. Video games are no longer necessarily considered a simple hobby, players have been able to take advantage of this enthusiasm to make a business, the birth of e-sport, community channels, and various monetized videos are proof of this. However, the news shows us that for some people video games can become a real addiction and bring with it its share of the problem. Since video games are by nature computer programs, we may wonder if it is not possible to retrieve information about their users in real-time to detect any addictive behavior and thus protect the player. In this paper, we will use process mining techniques to analyze player logs to try to find a behavioral pattern of addiction.
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Dates et versions

hal-03905047 , version 1 (17-12-2022)

Identifiants

  • HAL Id : hal-03905047 , version 1

Citer

Maxime Guénégo, Rébecca Deneckère. Can Process Mining Detect Video Game Addiction Through Player's Character Class Behavior?. 19th European Mediterranean & Middle Eastern Conference on Information Systems (EMCIS 2022), Dec 2022, online, Dubai, United Arab Emirates. ⟨hal-03905047⟩
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