Young Bin Kim

Shin Jin Kang4
Chang Hun Kim3
4Shin Jin Kang
3Chang Hun Kim
2Sang Hyeok Lee
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As games become more popular, procedures which can support the analysis and understanding of players’ behaviors are necessary for success of commercial games. This paper presents a log-based usability evaluation system to analyze user behavior in a gaming environment. We explore the potential of input log data for automated usability evaluation and(More)
This paper presents a new automated behavior analysis system using a trajectory clustering method for massive multiplayer online games (MMOGs). The description of a player’s behavior is useful information in MMOG development, but the monitoring and evaluation cost of player behavior is expensive. In this paper, we suggest an automated behavior analysis(More)
This paper proposes a method to predict fluctuations in the prices of cryptocurrencies, which are increasingly used for online transactions worldwide. Little research has been conducted on predicting fluctuations in the price and number of transactions of a variety of cryptocurrencies. Moreover, the few methods proposed to predict fluctuation in currency(More)
In this paper, we propose a method for automatically detecting the times during which game players exhibit specific behavior, such as when players commonly show excitement, concentration, immersion, and surprise. The proposed method detects such outlying behavior based on the game players' characteristics. These characteristics are captured non-invasively(More)
In this paper, we present a method for predicting the value of virtual currencies used in virtual gaming environments that support multiple users, such as massively multiplayer online role-playing games (MMORPGs). Predicting virtual currency values in a virtual gaming environment has rarely been explored; it is difficult to apply real-world methods for(More)
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