Journal of Korea Game Society (한국게임학회 논문지)

Korea Game Society (한국게임학회)
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Correlation Analysis between Game Bots and Churn using Access Record

Access Record를 활용한 게임 봇과 유저 이탈의 상관관계 분석

  • Kim, Young Hwan (Graduate School of Information Security, Korea University) ;
  • Yang, Seong Il (SW.Content Research Laboratory, Electronics and Telecommunication Research Institute) ;
  • Kim, Huy Kang (Graduate School of Information Security, Korea University)
  • 김영환 (고려대학교 정보보호대학원) ;
  • 양성일 (한국전자통신연구원) ;
  • 김휘강 (고려대학교 정보보호대학원)
  • Received : 2018.08.07
  • Accepted : 2018.10.16
  • Published : 2018.10.20
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Abstract

Game bots distribute a large amount of goods or items used in a game, thereby lowering the value of game goods and items. Also, a large number of game bots hunt monsters and collect items, which hinders ordinary users from enjoying content normally. However, no research has been done on the type of user and the type of activity that the increase in bots specifically affects. Therefore, this study provides a practical implication to encourage users to use games by classifying types based on the game users' access data and analyzing the correlation with user departure due to the increase of bots.

게임 봇은 게임에서 사용되는 재화 또는 아이템 등을 대량으로 유통시키며 게임 재화 및 아이템의 가치를 하락시키는 한편 아이템을 획득하기 위해 봇끼리 몰려다니면서 몬스터를 사냥하고 아이템을 채집하므로 일반 유저들이 정상적으로 콘텐츠를 즐기는 활동을 방해해 왔다. 그러나 봇의 증가가 구체적으로 어떤 유형의 유저에게 영향을 미치는지, 그리고 어떤 활동 유형을 감소시키는지에 대한 연구는 알려진 바가 없었다. 이에 따라 본 연구에서는 게임 유저들의 접속 데이터를 토대로 유형을 분류하고 봇의 증가에 따른 유저 이탈과의 상관관계를 분석함으로써 유저들의 게임 이용을 유도하는 실무적인 시사점을 제공한다.

Keywords

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