• Journal of Korea Game Society
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• v.10 no.3
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• pp.47-59
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• 2010

Differing from most of current studies which recognizing game item cash-trade as simple static system, this study approaches game item cash-trade as Complex Adaptive System through historical analysis. The item-trade is a complex phenomenon converging between cyber-economy and real-economy, and production and consumption process of game-item are evolving dynamically over time. The results are following: first, the early item-trade emerges in endogenously rather than results from purposed system designed by singular actor. Second, after the early item-trade, the trade system as a CAS which various voluntary actors(single user, factory, game company, user community, agency, etc.) participates in is self-organizing for trading safety and efficiency. Third, the complex adaptive item-trade system satisfies actor's needs interdependently and accelerate positive feedback powerfully. This study implies that purposeful control disregarding emergent adaptive item-trade system distorts system efficiency and can lead to unintended policy failure.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.6
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• pp.1062-1068
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• 2007

In order to design and develop a ubiquitous game, it is necessary to develop a natural and flexible interface between the real world and the virtual world, based on social and physical context awareness. We design user interface model and the tactile sensing system that performs virtual interaction and collection of the sensor data. It is sensitive so the collected data should be filtered, rearranged and analyzed. This information is quite different from stylus input, keyboard, button or mouse for interaction. We detect kicked 3D force position of a ball, moment of area, moment of inertia and modified ball shape using tactile sensing system and analyzed data. The results demonstrate that the proposed approach is desirable and robust as well as the results can be used realistic actions and reactions considering attack force and to make interesting environments for ubiquitous game.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.23-32
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• 2023

E-sports, a burgeoning facet of modern sports culture, has achieved global prominence. Particularly, Aeon of Strife (AOS) games, emblematic of E-sports, blend individual player prowess with team dynamics to significantly influence outcomes. This study aggregates and analyzes real user gameplay data using statistical techniques. Furthermore, it develops and tests win-loss prediction models through machine learning, leveraging a substantial dataset of 1,149,950 individual data points and 230,234 team data points. These models, employing five machine learning algorithms, demonstrate an average accuracy of 80% for individual and 95% for team predictions. The findings not only provide insights beneficial to game developers for enhancing game operations but also offer strategic guidance to general users. Notably, the team-based model outperformed the individual-based model, suggesting its superior predictive capability.

• Journal of Korea Game Society
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• v.5 no.3
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• pp.25-30
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• 2005

Until now, the level design for games has played a very important role in the process of developing games since it has been mapped out and applied so the game players have fun to certain level in playing games. So as game becomes more complex the number of game designers also grow and to make diverse levels, work force and working hours also should grow larger. In this treatise, it suggest a way where level's structure is changing dynamically so with only one level you can experience diverse levels by introducing wandering agent to the level structure. Also, I am trying to show the possibility of balance between the players by wandering agent.

• Journal of Korea Game Society
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• v.11 no.2
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• pp.81-91
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• 2011

Hacking tools are evolving along the growth of on-line game industry. Those tools allow users with no programming knowledge to hack the game, which causes a lot of problems in on-line game services. Specifically, FPS games based on peer-to-peer networks are vulnerable to hacks. This paper analyzes cheating patterns by the case of Point Blank in Indonesia and prioritize countermeasures, which helps game companies handle hacks efficiently.

• Journal of Korea Game Society
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• v.18 no.1
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• pp.95-104
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• 2018

This study analyzes the system of Loot Box in Overwatch, FPS genre game produced by an American company Blizzard. Currently, one of the most controversial issues in the recent industry is "Probability-Type Item" that game users purchase high-end game items as a form of lottery. As this study examines a foreign case of Loot Box that is similar to Probability-Type Item, it would show how it is constructed and does legal approaches. Throughout this, it not only analyzes pros and cons of the Loot Box system, but also provides thought-provoking messages for the issue of the Probability-Type Item.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.485-487
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• 2020

본 논문에서는 <배틀그라운드>와 <콜 오브 듀티 : 모던 워페어> 등의 FPS 게임에서 사용되는 핵의 종류와 사용 실태를 조사하고 이에 따른 개발사의 안티 치트와 어떻게 대처했는지 효과적인 개선 방안이 어떤 것이 있는지 제시한다. FPS에서 주로 사용되는 핵 프로그램에 대해서 알아보고 해당 핵이 어떤 식으로 사용되는지 설명한다. 또한 이에 따른 개발사의 대처 방안(제제 방식)이 어떤 식으로 작용하였으며 효과가 미미했던 것과 반응이 좋았던 것으로 분류하여 조사한다. 결론으로는 위의 조사한 자료를 바탕으로 어떻게 하면 좀 더 효과적인 방법으로 핵 프로그램을 조기에 방지하여 유저들의 만족도를 높일 수 있는지 등의 내용을 제시한다.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.425-439
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• 2019

This study looks at the social implications of gaming disorder by considering the situation in Korea. Focusing on specificity of game genres, this study analyzed two aspects of the game playing effect-positive(cognitive needs) and negative(game addiction)-and suggested directions for game regulation policies and game addiction studies, since game playing effects are closely related to game regulatory policy. To analyze game effects and attitudes to regulations, this study performed regression analysis based on the online survey. Results show that game playing effects and attitudes toward game regulation differ based on the nature of game genres. While longer gaming increased the effect of addiction, it also increased cognitive needs. Playing roleplaying, Aeon of Strife, and strategy game genres(RAS), which are subject to game regulation, increased game addiction levels but simultaneously contributed to increased cognitive needs. While playing augmented reality genres positively affected cognitive needs, it also showed favorable attitudes to general game regulation.

• Journal of Korea Game Society
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• v.17 no.6
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• pp.199-208
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• 2017

Since the study by Turkle(1995), the concept of identity play in MMORPGs has been employed primarily to explain the reflection of users' identity in the avatar creation process in online games. This study attempts to conceptualize the identity play of the design process in which the user uses the avatar customizing system to create an avatar in the virtual world. This research verified the model of identity play through players' avatars, a model of the components of identity play constructed. The aims of this study pursued through an analysis of correlations of users' attitudes toward avatars. This study performed structural equation modeling to verify hypotheses about the variables that affect online identity play.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1131-1141
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• 2015

In this paper, we proposed a new approach of machine learning based method for detecting game-bots from normal players in MMORPG by inspecting the player's action log data especially in-game money increasing/decreasing event log data. DBSCAN (Density Based Spatial Clustering of Applications with Noise), an one of density based clustering algorithms, is used to extract the attributes of spatial characteristics of each players such as a number of clusters, a ratio of core points, member points and noise points. Most of all, even game-bot developers know principles of this detection system, they cannot avoid the system because moving a wide area to hunt the monster is very inefficient and unproductive. As the result, game-bots show definite differences from normal players in spatial characteristics such as very low ratio, less than 5%, of noise points while normal player's ratio of noise points is high. In experiments on real action log data of MMORPG, our game-bot detection system shows a good performance with high game-bot detection accuracy.