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모바일 게이머의 인지심리속성 추출 및 구매예측 성능개선
전지훈(Jihoon Jeon),양성일(Seongil Yang),김경중(KyungJoong Kim) Korean Institute of Information Scientists and Eng 2019 정보과학회논문지 Vol.46 No.9
In-game purchases are one of the important factors that directly affect a companys revenue. In total, 95% of gamers do not pay for in-game purchases, meaning that a small number of gamers are responsible for most of the revenue of the company behind their games. For this reason, game companies must maintain and augment these few purchasing gamers. In this paper, we extracted seven cognitive psychological features (competitive, challenge, loyal, social, activity, efficient, and sincerity) that can be used to estimate the cognitive psychology of a gamer by using log data of a mobile RPG game. We analyzed the gamers, classified by payment amount, based on seven cognitive psychological features. As a result, the cognitive psychological features and payment amount of the gamers could be correlated. In addition, using seven cognitive psychological features, we predicted the purchasing behavior of gamers with high accuracy. This implies that gamers can be analyzed based on their cognitive psychology and the gamers purchases can be predicted with comparatively high performance.
로그 데이터의 유형분석 및 인지심리적 속성 추출을 이용한 모바일 게이머 유형화 연구
전지훈(Jihoon Jeon),윤두밈(Dumim Yoon),양성일(Seongil Yang),김경중(Kyungjoong Kim) Korean Institute of Information Scientists and Eng 2018 정보과학회논문지 Vol.45 No.3
The study of classifying gamer types or analyzing the characteristics of gamers is a field of interest for data analysis researchers. From the past to the present, much research has been done on gamer categorization and gamer analysis. However, most studies use surveys or bio-signals, which is not practical because it is difficult to obtain large amounts of data. Even if the game log is used, it is difficult to analyze the psychology of the gamer because the gamer is categorized and analyzed by extracting only statistical values. However, if we can extract the cognitive psychology information of the gamer from the basic game log, we can analyze the gamer more intuitively and easily. In this paper, we extracted eight cognitive psychological features representing the behavior and psychological information of the gamer using Crazy Dragons game log, which is a mobile Role-Playing-Game (RPG). In addition, we classified gamers based upon cognitive psychological features and analyzed them using eight cognitive psychological features. As a result, most gamers were highly correlated with one or two types.