• Korean Journal of Culture and Social Issue
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• v.10 no.spc
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• pp.147-175
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• 2004

In recent years, electronic games, home computers, and the internet have assumed an important place in our lives. This paper presents a review of the researches on the relation of computer game and children's and adolescent's development. Researches on the impact of computer game on perceptual and cognitive development including attention, spatial perception, numerical ability, problem solving are reviewed. The relation of computer game use and emotional, social and personality development and aggressive development, especially General Aggressive Model(GAM) are also explained. On the basis of this reviews, the future directions of research are discussed.

• Journal of Game and Entertainment
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• v.2 no.3
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• pp.8-14
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• 2006

The social interest for collaborative learning and educational game has been increased. In this paper, we investigates the educational value of collaborative learning and game. Based on this investigation, we propose an educational on-line game model for collaborative learning. Although the proposed model is still conceptual design, it sufficiently shows that on-line RPG game can be a good collaborative learning method for young children. In detail, we speculate about the conventional educational method performed in normal school. And then, we describes the elements of a computer game which complies with the real collaborative learning program.

• Journal of Korea Game Society
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• v.8 no.4
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• pp.107-114
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• 2008

The requests for speech-recognition for multi-language in field of game and the necessity of multi-language system, which expresses one phonetic model from many different kind of language phonetics, has been increased in field of game industry. Here upon, the research regarding development of multi-national language system which can express speeches, that is consist of various different languages, into only one lexical model is needed. In this paper is basic research for establishing integrated system from multi-language lexical model, and it shows the system which recognize Korean and English speeches into IPA(International Phonetic Alphabet). We focused on finding the IPA model which is satisfied with Korean and English phoneme one simutaneously. As a result, we could get the 90.62% of Korean speech-recognition rate, also 91.71% of English speech-recognition rate.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.187-189
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• 2022

게임의 과금 모델 중 하나인 배틀패스가 현재 게임의 비즈모델의 주요 트랜드로 자리 잡고 있다. 본 문서는 배틀패스가 성장하는 이유를 탐구하기 위하여 게임 비즈니스 모델의 종류를 알아보고, 배틀패스의 성공과 실패 사례를 조사한다. 이 결과를 기반으로 배틀패스가 실제 수익에 영향력을 분석하여 배틀패스로 비즈니스 모델을 운영하는 것이 실제 게임 수익에 영향을 미치고 있는지 알아보고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.75-78
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• 2017

본 논문에서는 현재 다수의 게임 회사가 추구하는 수익 모델의 문제점을 조사하고 이로 인해 발생하는 부정적인 요인이 게임에 어떤 영향을 끼치는가를 분석하여 새로운 게임을 기획하거나, 운영할 때 과금정책에서 고려해야 할 점을 제시한다. 이러한 조사 및 분석은 앞으로 게임 운영자 및 게임 산업에 많은 도움이 될 것으로 기대된다.

• Journal of Korea Multimedia Society
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• v.14 no.12
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• pp.1549-1558
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• 2011

In this paper, we address the problem of bandwidth sharing among multiple primary users and multiple secondary users in a cognitive radio network. In cognitive radio networks, effective spectrum assignment for primary and secondary users is a challenge due to the available broad range of radio frequency spectrum as well as the requisition of harmonious coexistence of both users. To handle this problem, firstly, Bertrand game model is used to analyze a spectrum pricing in which multiple primary users emulate with each other to acquire maximal profit. After that, we employ Cournot game to model the spectrum sharing of secondary users to obtain optimal profit for each user also. Simulation results show that our scheme obtains optimal solution at Nash equilibrium.

• Korean Journal of Social Welfare Studies
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• v.48 no.2
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• pp.303-329
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• 2017

This study aimed to explore the trajectories of computer game use of school age children and to identify the related predictors. The data for this study used Korean Children and Youth Panel data covering from the second year to the sixth year of elementary school. A total of 1,959 participants were analyzed. Latent class growth model was employed to explore the trajectories of computer game use and multinomial logistic regression was conducted to identify the significant predictors. Main results indicated that three types of trajectories were identified: low game using group, high initial using-fluctuating group, and high increasing game using group. Each group was found to be associated deferentially with sex, aggression, attention deficit, main caregiver's education, siblings, parent absence after-school, neglecting, family income, family trip, school grades, and peer relationship. Based on these findings, this study emphasized the importance of predictive intervention for the game user among early school age children and suggested useful practical strategies.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.157-163
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• 2022

As the online game market grows, the use of game bots is causing the most serious problem for game services. We propose a harvest coordinate analysis model to detect harvesting bots among game bots of the Massively Multiplayer Online Role-Playing Games(MMORPGs) genre. The proposed model analyzes the player's harvesting behavior using the coordinate data. Game bots can obtain in-game goods and items more easily than normal players and are not affected by realistic restrictions such as sleep time and character manipulation fatigue. As a result, there is a difference in harvesting coordinates between normal players and game bots. We divided the coordinate zones and used these coordinate zone differences to distinguish between game bot players and normal players. We created a dataset with NCSoft's AION log and applied it to a random forest model to detect game bots, and as a result, we derived performance with a recall of 0.72 and a precision of 0.92.

• Journal of Information Processing Systems
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• v.16 no.5
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• pp.1145-1157
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• 2020

A convolution neural networks (CNNs) has demonstrated outstanding performance compared to other algorithms in the field of face recognition. Regarding the over-fitting problem of CNN, researchers have proposed a residual network to ease the training for recognition accuracy improvement. In this study, a novel face recognition model based on game theory for call-over in the classroom was proposed. In the proposed scheme, an image with multiple faces was used as input, and the residual network identified each face with a confidence score to form a list of student identities. Face tracking of the same identity or low confidence were determined to be the optimisation objective, with the game participants set formed from the student identity list. Game theory optimises the authentication strategy according to the confidence value and identity set to improve recognition accuracy. We observed that there exists an optimal mapping relation between face and identity to avoid multiple faces associated with one identity in the proposed scheme and that the proposed game-based scheme can reduce the error rate, as compared to the existing schemes with deeper neural network.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.01a
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• pp.239-241
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• 2012

오늘날 스마트 시대의 새로운 소프트웨어 페러다임으로 변화하고 있는 IT 산업의 환경에서 소프트웨어를 사용하는 사용자와 공급하는 개발자 모두 품질 향상에 대한 중요성과 복잡성은 더욱 강조되어 가고 있다. 특히, 국내 게임시장의 절대적 시장점유율을 보이고 있는 온라인 게임의 경우 게임 사용자들과의 지속적인 관계 유지를 필요로 하는 서비스 제품이기 때문에 높은 수준의 품질보증이 절대적으로 필요하다. 본 연구는 이와 같은 필요성에 따라 게임 품질관리를 위한 정량적/정성적 게임성 평가 항목을 연구하여 이를 기반으로 한 게임성을 평가하기 위한 평가 모델을 제시한다.