• Journal of Korea Game Society
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• v.9 no.2
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• pp.125-133
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• 2009

Game artificial intelligence is usually used to provide intelligent and adjusted game environment for user. Previously, it was used for Non-player character(NPC) playing a role of a company or an enemy through collecting and analyzing a user's behaviour. However, it was just mimicking the user's behavior. This paper introduces a method to change game environment by analyzing a user's game behavior. Game behavior data has been used to understand user's game preference. Also, the user's preference was used to provide more active game environment by reflecting decision of geographical features, items and distribution of NPC. For experiment of the suggested method, we utilized a real 2D action game and confirmed the game environment which changing properly according to the user's game play.

• Korean Journal of Child Studies
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• v.35 no.4
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• pp.41-59
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• 2014

The purpose of this study was to examine the effects of the time spent on violent internet games and game overindulgence on aggressive behavior exhibited by elementary school-aged boys and to investigate the mediating effects of self-control on the relationship between children's game overindulgence and their aggressive behavior. The subjects of this study were 118 fourth to sixth grade boys from five elementary schools. The instruments used were the aggression subscale of the Korean-Youth Self Report (Oh, Ha, Lee, & Hong, 2001), a questionnaire of the time spent playing violent internet games developed by the authors, the Internet Game Addiction Scale for Children (Kim, Lee, Kim, Kim, & Kim, 2006) and the Self-Control Scale (Nam, 1999). The data were analyzed by means of a Structural Equation Model (SEM). The results were as follows. First, children's self-control mediated the relationship between game overindulgence and aggressive behavior. Second, the amount of time spent playing violent internet games had no effect on children's aggressive behavior.

• Journal of Korea Game Society
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• v.16 no.4
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• pp.35-44
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• 2016

To apply the player's experiences to the design process of the game levels set by the developer, gameplay behavior analysis is needed. The player's behavior which is different by how much he got experiences from the play has generally been studied by one computational approach based on numerical data and the other HCI(human-computer interaction) approach through heuristic analysis. For the analysis of the player's behavior with the level design patterns in FPS(first-person shooter) games, in this paper those methods are used to code 12 main types of action, which in turn is simply categorized into 5 kinds of behavior pattern. Along with it, an optimized visualization is proposed to intuitively compare the flow of behavior pattern with the time of playing game.

• ETRI Journal
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• v.35 no.6
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• pp.1058-1067
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• 2013

An approach for game bot detection in massively multiplayer online role-playing games (MMORPGs) based on the analysis of game playing behavior is proposed. Since MMORPGs are large-scale games, users can play in various ways. This variety in playing behavior makes it hard to detect game bots based on play behaviors. To cope with this problem, the proposed approach observes game playing behaviors of users and groups them by their behavioral similarities. Then, it develops a local bot detection model for each player group. Since the locally optimized models can more accurately detect game bots within each player group, the combination of those models brings about overall improvement. Behavioral features are selected and developed to accurately detect game bots with the low resolution data, considering common aspects of MMORPG playing. Through the experiment with the real data from a game currently in service, it is shown that the proposed local model approach yields more accurate results.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.317-332
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• 2019

The purpose of this study is to analyze the personality trait of game users' game behavior and to investigate the differences according to demographic variables. For research, questionnaire survey was conducted for game users of 10~ 40's, and the collected data was analyzed and processed using the statistics package program SPSS 20.0. The results of the study showed that the Big 5 personality traits had a significant impact on game use, and in the case of Conscientiousness, most of them were positive for use of Adaptive games and most of them had negative effects on Maladaptive game use. Even in personal characteristics, a variable showing a significant influence on game use was found, which showed meaningful effects in game platform, game frequency, and occupation. In subsequent research, it is necessary to identify the variables such as types of games or platforms that can reflect characteristics of games, and to understand what kind of roles play in the relationship between game user characteristics and game use behavior.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.267-269
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• 2016

본 논문에서는 언리얼 엔진4의 Behavior Tree(행동 트리)를 이용하여 NPC의 다양한 상태와 움직임을 가진 어드벤처 게임 AI를 설계 및 개발하였고, 그 효율성을 분석하였다. Behavior Tree는 상태와 행동을 계층적으로 나누어 AI의 행동을 결정하는 알고리즘으로 FSM(Finite State Machine, 유한상태기계)과 비교하여 유지보수와 행동 규칙 검증의 어려움을 해결하는 데 장점이 있음을 확인하였다.

• Journal of Korea Game Society
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• v.15 no.6
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• pp.41-54
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• 2015

Despite a great performance of Korean online game in Chinese online game market, Korean companies were faced with decreasing market positions in China from 2006. To overcome this problem, I will suggest a research model about determinant of repurchase behavior of on-line game user and moderation effect of online review. Data collected from questionnaire survey were used in empirical analysis on research hypothesis through moderated multiple regression method. There are several conclusions as such; first, perceived value and loyalty of consumer have great positive relationships with repurchase behavior. Second, online review has positive direct influence on repurchase behavior and moderation effect of relationships among them. Third, game company has great efforts to develop online games and game contents which were guaranteed before in price, quality, information, and accurate consideration of online review.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.626-642
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• 2018

Recently, a number of studies have drawn attention to purchasing online game items. Most of the studies are based on the assumption that consumers behave rationally. Accordingly, TRA- or value-based approaches have been mainly employed to understand the online purchases of game items. However, the purchasing behavior of consumers involves not only making rational decisions, but also making irrational decisions. Hence, their purchase behavior is affected by propensities for conspicuous consumption, impulsive consumption, and habitual consumption. Playing games can be highly addictive, and players often display such addictive behaviors. Our study explored both the rational and irrational factors in purchase behavior to understand how they are associated with purchasing game items. A total of 366 pieces of data were collected from Korean online game users through a survey. Regression analyses of the collected data showed that the behavior of buying game items was influenced not only by the intention to purchase which is a rational factor in consumption, but also by such irrational factors as habit, impulse, and ostentation which should be further emphasized in future studies.

• 한국벤처창업학회:학술대회논문집
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• 2017.04a
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• pp.51-51
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• 2017

In the domain of IS, game was used as a tool to enhance the results of decision making, education and more. In another stream of research, researchers focused on revealing the motive of people playing games. This study focuses on the effect of the tool; increased accessibility via mobile, to online game using patterns and behaviors. Due human reaction towards competition, technology acceptance and the online game's gambling traits, it is expected that the increased mobile accessibility (tool) will increase and intensify the game playing behavior. Also, it is expected that the in-game purchase will increase as well. In depth interview with both game service providers and players is planned to confirm that the mobile version acted as a tool to increase accessibility, rather than a additional game. Survey along with an interview is to be conducted to find relevant play and spending patterns if they are to exist.

• Journal of Digital Contents Society
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• v.16 no.3
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• pp.493-501
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• 2015

This study is to observe the correlation between user properties and user behavior on the mobile game, one of the most prominent digital contents with the most mutual interaction. Among various factors affecting on behaviors of game users, the user properties itself was accentuated, and the effect of individual and psychological quality on the use of game was evaluated. The user properties were mainly categorized into five factors of "interpersonal relationship", "level of game skill", "inclination of innovation", "self-esteem", and "competitive spirit", and the use behavior of game was categorized mainly into two types - quantitative behavior of "amount of use (time of use, consumption cost)" and qualitative behavior of "perceived satisfaction level (perceived enjoyment, perceived service quality, and perceived price)". As a result of study, in general, as the user quality subjected in this study is stronger, the amount of use and satisfaction level are higher. This study is to observe what type of user qualities leads to the more use, consumption, and satisfaction level of game contents to contribute to the study about the use of conventional digital contents and heavy use.