• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.5
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• pp.1153-1160
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• 2018

As the number of online game users increases and the market size grows, various kinds of cheating are occurring. Game bots are a typical illegal program that ensures playtime and facilitates account leveling and acquisition of various goods. In this study, we propose a method to detect game bots based on user action time interval (ATI). This technique observes the behavior of the bot in the game and selects the most frequent actions. We distinguish between normal users and game bots by applying Machine Learning to feature frequency, ATI average, and ATI standard deviation for each selected action. In order to verify the effectiveness of the proposed technique, we measured the performance using the actual log of the 'Aion' game and showed an accuracy of 97%. This method can be applied to various games because it can utilize all actions of users as well as character movements and social actions.

• Journal of Korea Game Society
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• v.11 no.6
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• pp.61-70
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• 2011

In this paper, we propose a defense NPC control model in the soccer game by applying the Decision Tree learning algorithm. The proposed model extracts the direction patterns and the action patterns generated by many soccer game users, and applies these patterns to the Decision Tree learning algorithm. Then, the proposed model decides the direction and the action according to the learned Decision Tree. Experimental results show that the proposed model takes some time to learn the Decision Tree while the proposed model takes 0.001-0.003 milliseconds to decide the direction and the action based on the learned Decision Tree. Therefore, the proposed model can control NPC in the soccer game system in real time. Also, the proposed model achieves higher accuracy than a previous model (Letia98); because the proposed model can utilize current state information, its analyzed information, and previous state information.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.281-283
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• 2014

본 논문에서는 동화를 소재로 제작된 캐릭터를 사용하는 액션게임의 개발에 대하여 기술하고 있다. 동화를 소재로 만들어진 캐릭터는 게임의 특징으로써 사람들의 관심을 높여주었고 액션게임에서 타격감을 부과하는 영상, 음향, 체감의 타격감 표현기법 적용하여 액션을 통한 재미요소를 갖춤으로써 독특한 캐릭터가 매력적인 차별화된 액션게임을 개발하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.483-484
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• 2014

본 논문은 동양 신화에서 현무, 백호, 주작, 청룡을 바탕으로 하는 사신기 신화를 이용하여 대전 액션 게임을 구현하였다. 게임구현에 있어 필요한 네크워크를 설계 구현하였고 게임을 구동하기 위한 메니저 시스템 및 플레이어 시스템 구현에 대하여 제안한다.

• Cartoon and Animation Studies
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• s.33
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• pp.531-549
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• 2013

Action games exhibit all the specific constellation of masochism, such as disavowal, suspense, waiting, fetishism, and fantasy. These characteristics of action games can be analyzed with respect to masochism. This study conducted an analysis excluding sadism as much as possible, as sadism is a result of etiological misconception as opposed to masochism. However, comparative analysis is included in the study so that action games are not seen as demonstrating sadism. Games create a space for virtual interaction for main agents by connecting gamer-existence and game-character in the framework of a contract. The interaction of visual tactility within this space creates a system of difference in pleasure. Masochism enables one to attain pleasure in a world created himself or herself using fetishism in contractual relationships such as the ones exhibited in games. This shows that action games and masochism are mutually related. This paper analyzed the ontology of action games using actual examples of action games. The paper concluded that action games lead to the fulfillment of masochistic pleasure.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.3 s.303
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• pp.17-28
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• 2005

Recently intelligent characters in computer games have been an important element more and more because they continually stimulate gamers' interests. As a typical method for implementing such intelligent characters, neural networks have been used for training action patterns of opponent's characters and game rules. However, some of the game rules can be abruptly changed and action properties of garners in on-line game environments are quite different according to gamers. In this paper, we address how a neural network adapts to those environmental changes. Our adaptation solution includes two components: an individual adaptation mechanism and a group adaptation mechanism. With the individual adaptation algorithm, an intelligent character steadily checks its game score, assesses the environmental change with taking into consideration of the lastly earned scores, and initiates a new learning process when a change is detected. In multi-user games, including massively multiple on-line games, intelligent characters confront diverse opponents that have various action patterns and strategies depending on the gamers controlling the opponents. The group adaptation algorithm controls the birth of intelligent characters to conserve an equilibrium state of a game world by using a genetic algorithm. To show the performance of the proposed schemes, we implement a simple fighting action game and experiment on it with changing game rules and opponent characters' action patterns. The experimental results show that the proposed algorithms are able to make intelligent characters adapt themselves to the change.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.499-502
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• 2014

본 논문에서는 'M-virus'게임의 설명과 작업자들의 제작의도를 보여준다. 'M-virus'는 '꿀사주세요'팀의 졸업 작품 게임으로 딸의 감염을 치료하기 위해 숙주를 찾는 아버지의 스토리를 기반으로한 3인칭 액션게임이다. '캐릭터 변이'를 특징으로 플레이어의 성향에 따라 캐릭터를 자유자재로 바꿀 수 있으며 캐릭터마다의 고유 스킬로 다양한 플레이를 경험할 수 있다.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.62-69
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• 2013

A great many researches on affordance in HCI(Human Computer Interaction), product design, and cognitive science has been done investigated currently. In addition, the concept of affordances has been applied to games in the incremental trying to understand the relationship between gamers and systems. However, there are some problems to apply them to games because many researchers take ease to use, consistency, and usefulness to handle mainly in HCI rather than the property of the game into account. Consequently, the objective of the study is to investigate affordances in consideration of the features of the game, such as fantasy, variety, and fun based on the concept of them suggested in ecological psychology. A protocol analysis was conducted through the think-aloud method on the full gameplay session to platform action game as the basic genre of many game. The result of this research reveals that a static and movable affordances as a fixed state are discovered and transforming continously, appearing, and disappearing affordances as variable states are uncovered, and physical and cognitive affordances are observed. The result of this research is expected to propose the essential design guideline on the methodology of game design.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.6
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• pp.1502-1508
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• 2013

In aspect of HCI(Human Computer Interaction) gameplay is the procedure to solve the problem that gamers encounter in order to generate or discover a new rule to achieve gamers' goal. The goal of this research is to investigate the structure and understand the gameplay in aspect of affordance from ecological psychology rather than the traditional problem solving theory. This research selects App. game based on smart phone. Expert gamers participated in this experiment. We record all gameplay using audio and video device. We conducted protocol analysis as qualitative method based on the verbal report and action protocol during game playing. As result, gameplay based on affordance includes selection and relation. We found that subjects selected one thing at once with attention. Moreover, we found that there were two behaviors : exploratory action and performatory action. We believe that exploration, action, and transformation for affordance appear. The result of this research imply to suggest design guideline for game design methodology when designers develop game.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.477-480
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• 2014

본 논문에서는 팀 단위 온라인 액션 게임과의 차별화를 위해 다운 시스템을 적용한 액션게임을 개발하였다. 다운 시스템은 캐릭터가 일정량 이상의 공격을 받을 경우 넘어지며 일시적인 무적 상태가 되는 시스템이다. 캐릭터의 공격과 스킬은 각각 다른 다운 포인트가 매겨져 있으며, 공격자 캐릭터가 수비자 캐릭터에게 공격이나 스킬을 적중할 시 다운 포인트가 쌓이게 된다. 다운 포인트가 한계치를 초과하면 수비자는 다운 상태가 된다. 다운 상태가 된 캐릭터는 넘어지며 일정 시간 무적 상태가 된다. 다운 포인트가 한계치를 초과하기 이전까지의 공격은 다 유효하기에 공격자는 다운 포인트가 초과되기까지의 범위 내에서 최대한 효율적으로 공격을 해야 하며, 수비자는 다수의 적에게 순간적으로 집중 공격을 받아도 일정량 이상의 피해에 노출되지 않기에 반격의 기회를 얻을 수 있다. 단순히 먼저 공격하기에 유리하거나 머릿수가 앞선다고 하여 유리한 것이 아니기 때문에, 다운 시스템을 얼마나 효율적으로 사용하느냐의 여부에 따라 플레이어의 숙련도가 결정된다. 계산적인 공격과 수비를 해야 하기 때문에 단순하게 이루어지는 기존의 팀 단위 온라인 액션 게임과의 차별화를 살펴보았다.