• Journal of Korea Game Society
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• v.21 no.3
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• pp.13-24
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• 2021

This paper shows the face rotation applicable to game character facial illustration. Existing studies limited data to human face data, required a large amount of data, and the synthesized results were not good. In this paper, the following method was introduced to solve the existing problems of existing studies. First, a 3D model with features of the input image was rotated and then rendered as a 2D image to construct a data set. Second, by designing GAN that can learn features of various poses from the data built through the 3D model, the input image can be synthesized at a desired pose. This paper presents the results of synthesizing the game character face illustration. From the synthesized result, it can be confirmed that the proposed method works well.

• Digital Contents
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• no.10 s.149
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• pp.93-100
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• 2005

IT 엑스포부산 U도시부산가능성확인…국제행사초석다져/2005 데이터베이스 그랜드 컨퍼런스 "데이터고도화, 품질관리부터시작하세요!”/오마 테스트페스트 넘버10 국제모바일표준화시험대회한국서개최/ETRI 게임 핵심기술 발표회 모든단말기동시연동게임기술개발/한국게임운영자협회 설립 발족식 KGMA, “게임마스터위상제고에전력”

• Journal of Korea Game Society
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• v.18 no.6
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• pp.69-82
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• 2018

The need of high quality VR contents has been steadily raised in recent years. Therefore, this study investigated the user's interest factors of VR game which is receiving the most attention among VR contents. We used STEAM review data and applied Text mining and Network analysis to perform this research. As a result, it was possible to confirm 4 word clusters related VR game users. Each cluster is named by 'presence', 'first person view game', 'auditory factor' and 'interaction'. This study has its meaning. First, user related research would be very helpful to develop high quality VR game. Second, it confirms that review data of VR game users can be structured, analyzed and used.

• 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.15 no.5
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• pp.49-56
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• 2015

As the popularity of casual games, they are increasing the needs to satisfy personal dispositions and the gameplay requirements of the various users in the game development process. These require analysis of action patterns of gameplay of various users in the testing phase of the game development. In this paper, we propose a method to analyze action patterns of gameplay through Petri net model simulation with gameplay metrics data. The proposed method has practical simulation environments because of using gameplay metrics data, and it can analyze diversely like reachability, coverbility, and liveness given by Petri net model analysis. An application example of the proposed method using a Petri net modeling tool GPenSIM v4.0 is given to analyze the patterns of gameplay in game Pacman. The results of simulations is presented. The presented results show that the proposed method can analysis patterns of gameplay diversely.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.323-329
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• 2021

Based on the research of the Public Welfare Games 'Mountaineering LightsUp', which is the main theme of helping the disadvantaged in society, this study uses the questionnaire method to obtain user data, and collects the data by using AMOS analysis for the effect of game interest elements on the experience of players. The results showed that the interesting elements (goal, obstacles, sense of belonging, atmosphere, story, information, and player to player communication) of the game were positively influenced by the experience of the game. And the questionnaire showed that the game still had problems such as playing simple, difficulty, lack of popularity, lack of feedback, and lack of storytelling. This paper also puts forward some proposals for these deficiencies. In future research, the research sample will be expanded, the research content will be improved, and the future Public Welfare Games will be designed and developed.

• Journal of Korea Game Society
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• v.21 no.6
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• pp.13-30
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• 2021

This paper analyzed the user's presence experience and player experience in FPS according to game usage time using Steam's review data. Data was obtained through crawling using Python. In analysis result, it was confirmed that issues related to controllable physical presence and uncontrollable social presence emerged in the group with less game use time, and controllable physical presence was changed to controllable social presence in the group with more play timeFurthermore, through player experience analysis, it was found that the keyword "recoil," a factor in game play, was important.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.178-186
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• 2019

Previous studies have shown the significant association between loneliness and game addiction. To determine the causal relationship between them, the present study utilized a series of autoregressive cross-lagged models to early adolescent panel data (N = 346) from KOCCA's Game User Panel Research. Results indicated that loneliness and game addiction, respectively, had relatively strong and stable autoregressive effects across four time points. Also, game addiction at a prior time increased loneliness at a later time, but loneliness was not significantly related to game addiction later in time. These results suggest that game addiction may cause loneliness, not the vice versa.

• Journal of Korea Game Society
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• v.18 no.6
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• pp.95-110
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• 2018

The game industry has grown to represent the domestic cultural industry, but the socio-cultural status of the game is not as high as industrial growth. In the early 2000s, the problem of dysfunctional use of youth games became a social issue and the game culture policy was established for 15 years. The purpose of this study is to examine the effect of policy on the prevention of dysfunction, The prevention of dysfunction of the game is somewhat effective, but the diffusion of positive function is insufficient and the improvement of recognition becomes more negative tendency. The effect is insufficient compared to the policy results. It is necessary to adjust the direction of game culture policy through consideration of securing basic data, post-management of policy, enhancement of cultural meaning, and universality of game culture.

• Review of KIISC
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• v.26 no.3
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• pp.38-44
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• 2016

소액결제에 대한 규제 완화로 이와 관련한 사기가 급증하고 있으며, 특히 소액결제가 대부분을 차지하는 온라인게임 산업은 관련 사기로 인한 피해가 증가하고 있다. 온라인 게임의 소액결제 사기는 단순히 금액에 대한 피해뿐만이 아니라 회사 브랜드에도 영향을 미치며, 나아가 고객 이탈로 이어질 수 있다. 소액결제 사기를 방지하기 위해 게임 산업에서도 이상거래 탐지 시스템이 요구되고 있다. 본 연구는 게임 사용자의 결제 패턴을 분석하여 이상거래를 탐지할 수 있는 머신러닝 기반의 이상거래 탐지 모델을 제시하며, 제안하는 모델을 글로벌 온라인 게임에 적용한 사례를 소개한다.