• Journal of Game and Entertainment
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• v.2 no.2
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• pp.17-24
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• 2006

Online games take place by the interactions among users and their contents change endlessly with their organic characteristics. Especially, digital images that make a great impact on game play such as characters or items form their own value beyond the establishment scope of their designer even outside of the game world. The users who pay fees for using them establish the concept of possession for the images and information designed in the games. Then, business transactions are formed among them who are in agreement with their values and their possession rights can be changed. In this way, digital images in the online games form new values by the interaction among other users or game systems. Meanwhile, the more the interaction and a sense of solidarity in the community increase, the higher their value becomes.

• Journal of KIISE
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• v.44 no.3
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• pp.314-322
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• 2017

In MMORPG (Massively Multiplayer Online Role-Playing Game), users advance their own characters to get to the maximum (max) level by performing given tasks in the game scenario. Although it is crucial to retain users with high levels for running online games successfully, little efforts have been paid to investigate them. In this study, by analyzing approximately 60 million in-game logs of over 50,000 users, we aimed to investigate the process through which users achieve the max level and churn of such users since the moment of achieving the max level, and determine possible indicators related to churn after the max level. Based on the result, we can predict churn of the max level users by employing behavioral patterns before the max level. Moreover, we found users who are socially active and communicate with many people before the max level are less likely to leave the service (p<0.05). This study supports that communication patterns are important factors for persistent usage of the users who achieve the max level, which has practical implications to guide elite users on enjoying online games in the long run.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1077-1084
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• 2015

Security issues such as an illegal acquisition of personal information and identity theft happen due to using game bots in online games. Game bots collect items and money unfairly, so in-game contents are rapidly depleted, and honest users feel deprived. It causes a downturn in the game market. In this paper, we defined the growth types by analyzing the growth processes of users with actual game data. We proposed the framework that classify hard-core users and game bots in the growth patterns. We applied the framework in the actual data. As a result, we classified five growth types and detected game bots from hard-core users with 93% precision. Earlier studies show that hard-core users are also detected as a bot. We clearly separated game bots and hard-core users before full growth.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1115-1122
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• 2015

In recent years, the use of game bots by illegal programs has been expanded from individual to group scale; this brings about serious problems in online game industry. The gold farmers group creates an in-game social community so-called "guild" to obtain a large amount of game money and manage game bots efficiently. Although game developers detect game bots by detection algorithms, the algorithms can detect only part of the gold farmers group. In this paper, we propose a detection method for the gold farmers group on a basis of normal and bot guilds characteristic analysis. In order to differentiate normal and bots guild, we analyze transaction patterns for individuals, auction house and chatting. With the analyzed results, we can detect game bot guilds. We demonstrate the feasibility of the proposed methods with real datasets from one of the popular online games named AION in Korea.

• Journal of Korea Game Society
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• v.16 no.2
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• pp.75-86
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• 2016

Game studies of theatrical approach explained interactive property of game in humanistic background. Those studies analyze the game, and based on Aristoteles Poetic Attribute. But theatrical approach has a problem by user's unpredictable intervention in narrative (Active narrative). This paper intended to see in the glance of any impact on the Aristotelian model by active narrative. As a result of the active narrative remake the causality between materials of drama. Also, it can be seen to define a kind of the "Improvisation" in theatrical view. But it exposed a essential difference in the form an expression by substance and material of media. It was defined forms of improvisation in the gaming environment which are 'Self-generated Individuality', 'Self-definition Faction', 'Eccentric Behavior Contending', 'Trolling' and 'Bug Play'. Finally this paper proposes the characteristics of the improvisation of the game and the direction to be improved game analysis model in humanities through forms of improvisation in game environment.

• Journal of Korea Game Society
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• v.16 no.2
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• pp.51-60
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• 2016

The incidents of massive personal information being leaked are occurring continuously over recent years. Personal information leaked outside is used for an illegal use of other's name and account theft. Especially it is happening on online games whose virtual goods, online game money and game items can be exchanged with real cash. When we research the real identity theft cases that happened in an online game, we can see that they happen massively in a short time. In this study, we define the characteristics of the mass attacks of the automated identity theft cases that occur in online games. Also we suggest a system to detect and prevent identity theft attacks in real time.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2866-2879
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• 2012

Among the various security threats in online games, the use of game bots is the most serious problem. Previous studies on game bot detection have proposed many methods to find out discriminable behaviors of bots from humans based on the fact that a bot's playing pattern is different from that of a human. In this paper, we look at the chatting data that reflects gamers' communication patterns and propose a communication pattern analysis framework for online game bot detection. In massive multi-user online role playing games (MMORPGs), game bots use chatting message in a different way from normal users. We derive four features; a network feature, a descriptive feature, a diversity feature and a text feature. To measure the diversity of communication patterns, we propose lightly summarized indices, which are computationally inexpensive and intuitive. For text features, we derive lexical, syntactic and semantic features from chatting contents using text mining techniques. To build the learning model for game bot detection, we test and compare three classification models: the random forest, logistic regression and lazy learning. We apply the proposed framework to AION operated by NCsoft, a leading online game company in Korea. As a result of our experiments, we found that the random forest outperforms the logistic regression and lazy learning. The model that employs the entire feature sets gives the highest performance with a precision value of 0.893 and a recall value of 0.965.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.608-617
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• 2018

The game market has been converted into PC such as Microsoft X-box, SONY Playstation, and Nintendo, which have been called traditional game consoles. Recently, the mobile game market has been growing as the performance of mobile devices has been reduced. The expansion of the game market is a worldwide trend, and the discovery of game contents are causing many concerns for game companies. Known as the birthplace of animation and games, Japan uses traditional cultural contents to create many characters and game stories. China, which is a latecomer, is also working to find materials for making game contents using Chinese traditional culture. is one of the most successful games in China's online marketplace. The game is designed to allow game users to experience traditional culture by reproducing the images of the time period shown in the wall painting into a virtual space. In this study, I would like to analyze the story of the Buddhist scripture in the mural of Donhwang mural, a Chinese cultural heritage.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.411-416
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• 2008

The development of games has brought about the birth of game characters that are visually very realistic. At present, one sees much enthusiasm for giving the characters emotions through such devices as avatars and emoticons. However, in a freely changing environment of games, the devices merely allow for the expression of the value derived from a first input rather than creating expressions of emotion that actively respond to their surroundings. As such, there are as of yet no displays of deep emotions among game characters. In light of this, the present article proposes the 'CROSS(Character Reaction on Specific Situation) Model AE Engine' for game characters in order to develop characters that will actively express action and emotion within the environment of the changing face of games. This is accomplished by classifying the emotional components applicable to game characters based on the OCC model, which is one of the most well known cognitive psychological models. Then, the situation of game playing analysis of the commercialized RPG game is systematized by ontology.

• Journal of Science and Technology Studies
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• v.11 no.2
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• pp.1-30
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• 2011

This paper analyzes system builders and their human networks of the Korean online game industry. By the early 2000s, Korea became one of the major online gaming countries in the world. In this period, important factors included the existence of system builders and their solid human networks. The few innovators who assisted the breakthrough of the development of the online gaming industry formed a human network in universities and IT companies. They shared innovations in information and collectively learned the conventions of the industry. In their achievement, the human networks which had already fully formed in the late 1990s became more noticeable. This paper, with its historical approach, will complement the limits shown by existing researches that, in their effort to find the causes for the success of the Korean online game industry, focus rather narrowly on the conditions of the period during which online games were becoming popular.