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http://dx.doi.org/10.7583/JKGS.2018.18.5.23

Development of a system for detecting game user's addiction  

Oh, Sung-kyun (Department of Software Engineering, Seoil University)
Yoon, Taebok (Department of Software Engineering, Seoil University)
Abstract
With the development of ICT technology, the game industry is growing rapidly. However, due to the excessive play of the game, there are cases where normal life is difficult. It is necessary to study the diagnosis and countermeasures against such game addiction. This paper study a system for diagnosing game addiction based on game usage information of game users. In order to develop a game addiction diagnostic system, this study classifies game addiction and abuse users and collects and models log information in real game environment. In addition, the addiction and good use model of game users was used as a knowledge to diagnose the addiction of new game users. Through the experiment, we could confirm the meaningful results. Also, according to the result of the diagnosis, the service such as SMS and reporting was suggested.
Keywords
Game addiction; Detection system; Gamer Modeling; Game Artificial Intelligence; Game addiction response;
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