• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.249-250
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• 2016

본 논문에서는 급변하는 국내 게임시장 현황을 다각적으로 검토하고자 한다. 현재 두드러지게 변화 된 부분을 살펴보면 플랫폼의 변화로 인한 연련 층, 성별의 변화가 지속적으로 변화 되고 있고, 모바일 시장의 TV광고의 경쟁적 출혈로 인해 빈익빈부익부 형태의 이분화 된 성향이 더 심해지고 있고, 중국시장의 국내 투자로 인한 경기력이 단기적으로는 회복이 되고는 있으나 장기적으로는 결국 중국시장의 경제 논리에 제어 될 수 있는 상황으로 바뀌고 있는 이러한 현황 등을 분석하여 다각적으로 헤쳐나갈 수 있는 방향을 제시하고자 한다.

• 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.

• 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.

• Journal of Korea Game Society
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• v.19 no.1
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• pp.25-36
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• 2019

Outdoor play for young children can promote the development of physical development, emotional development, and creativity development. However, due to safety accidents that occur in outdoor play, outdoor play is not progressed sufficiently. In this paper, we have developed smart functional educational games for AR education which can be easily used in early childhood education. In order to maximize the educational effect of the developed game and to provide customized education on the field, we conducted a focus group interview with a group of in - service child care teachers in the game design stage. Through this, we developed a functional game with AR system and verified the educational effect.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1051-1060
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• 2018

This study aims to propose instituting the serious games of language-based cognitive enhancement for the BIF children. The program consists of 4 cognitive areas (perception, attention, working memory, knowledge inference) in 4 language dimensions (phoneme, word, sentence, discourse). 16 games of 4 areas/2 dimensions with 3 difficulty levels were implemented in a mobile station and pilot-tested to children including BIFs. The results from the pilot tests supported for the validity and effectiveness of our games: Children's game performance correlated with their IQ scores (overall and sub-areas) revealing significant differences between the groups. The stroop scores in pre-and-post training hinted the increase of children's cognitive control.

• Journal of Korea Game Society
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• v.11 no.6
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• pp.103-113
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• 2011

In this paper, we propose gesture recognition based 3D Serious Games to prevent dementia. These games are designed to enhance the effect of preventing dementia by helping increase brain usage and physical activities of users by the entire body gesture recognition. The existing cameras used for gesture recognition technology are limited in terms of recognition ratio and operation range. For more stable recognition of the body gestures, we recognized users with a 3D depth camera, obtained joint data of users, and analyzed joint motions to recognize gestures of the body. Game contents were designed to practice memory, reasoning, calculation, and spatial recognition focusing on the atrophy of brain cells as a major cause of dementia. Game results of each user were saved and analyzed to measure how their recognition skills improved.

• Journal of Korea Game Society
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• v.14 no.6
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• pp.7-18
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• 2014

People generally think that negative effects of violent game contents are more serious in active playing behavior than passive watching video. This research examined the negative emotions which could arise out of playing violent games as fear, anxiety, hate, state-anger, hostility, and depression and performed an experiment methodology to assess those emotion effects between playing and watching violent game. The results of this research found that the watching group of violent video game showed a stronger internal negative feeling such as hate and depression, but the playing group of violent game had a deeper state-anger and hostility as external negative feeling than watching group. This research concludes that each media delivers different negative feelings, and there is little difference in the intensity of negative effects between playing and watching violent game.

• Journal of Korea Game Society
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• v.18 no.4
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• pp.53-64
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• 2018

The digital era opens with the changing times and many parts of life has become convenient. With this convenience of living, the obesity rate of people is gradually increasing, and the necessity of exercise is emerging. However, many studies have shown that many people do not exercise or stop exercising in three to six months. In this paper, we have designed and developed a "Walking Pet" prototype, a healthcare-inspired AR game, based on the theoretical background of exercise and the precedent studies to verify these facts. The developed "Walking Pet" provides exercise data to motivate the person to exercise and apply the pet system to eventually enjoy the exercise. In order to verify the effectiveness of the "Walking Pet" prototype developed in this paper, we surveyed 100 males and females in need of health care applications and surveyed the satisfaction of pure functional aspects.

• Journal of the Korean Society for Computer Game
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• v.31 no.4
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• pp.145-155
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• 2018

This study aims to extract additional elements to the existing game value evaluation using Delphi technique to 23 game experts. As a result of reviewing the characteristics of the development model using the evaluation model of the existing game contents, it was found that the evaluation factor was selected when selecting the content. The Delphi analysis was conducted two times, the first was the expert FGI and the second was the Delphi questionnaire. More detailed elements were presented in the related items such as results, technology transfer and dissemination, and details for promoting commercialization. Through focus group interviews, we extracted additional factors and predicted market size, growth potential, regulatory and market appeal and risk through market analysis of content success in the game industry. This will allow the industry to understand market size, growth potential, regulation, market appeal and risk through a market analysis of its success targets. This study suggests that the proposed evaluation factors can be applied to the entire game and cultural contents industry and will also help to construct market factors such as market value evaluation of contents, goal and goal setting, selection of entry method, and strategic factors.

• Journal of Korea Game Society
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• v.12 no.1
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• pp.113-122
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• 2012

This study is focused on the effect and satisfaction of Education of Music Appreciation by utilizing music game. In order to come up with the result, the study has conducted an experimental comparison using 107 male and female 4th grade students at G-elementary school in Gyeonggi-do. As a result, the class that teaches with the game has relatively higher learning assessment, study involvement and in particular, has a significantly increased satisfaction level than the class that only uses music appreciation. In addition, it analyzes that study involvement and satisfaction has an effect on learning assessment. The results of this research deemed to contribute direction of planning on learning contents by applying Smart Devices in regular school classes.