• Journal of Korea Multimedia Society
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• v.9 no.7
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• pp.927-937
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• 2006

Auto-playing programs are often used in behalf of human players in MMORPG(Massively Multi-player Online Role Playing Game). By playing automatically and continuously, it helps to speed up the game character's level-up process. However, the auto-playing programs, either software or hardware, do harm to games servers in various ways including abuse of resources. In this paper, we propose a way of detecting the auto programs by analyzing the window event sequences produced by the game players. In our proposed method, the event sequences are transformed into a set of attributes, and the Decision Tree learning is applied to classify the data represented by the set of attribute values into human or auto player. The results from experiments with several MMORPG show that the Decision Tree learning with proposed method can identify the auto-playing programs with high accuracy.

• Journal of Korea Game Society
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• v.13 no.1
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• pp.5-18
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• 2013

A smart phone has an error if we design games on it because smart phone should be able to have input and output simultaneously through the screen. Using the existing layout of the game as a base for research, the layout was divided to four categories that are information area, informational appearance area, operation area and inutility area. Given the research results, we developed an authoring tool to design games for smart phones. Moreover, we applied the authoring tool to develop games and effectively reduce the developing time.

• Journal of Korea Game Society
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• v.15 no.5
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• pp.19-28
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• 2015

The game industry has been seeing rapid change brought on by the competitive environment globally. As a result, game design skill is being magnified as a key to success. Because of lack of game design skills, Korean game market is in crisis recently. The game analysis is necessary to enhance game design skills. However, criteria and definition of game analysis is not clear and it is difficult to use for game development. This paper will suggest H-G model which has two factors that are 'human role' and 'the scope of game analysis'. This model segments 9 types of game analysis method. This study finds the limitation of leading researches and tries to improve it mapping the major leading researches to H-G model. This paper would help to make the game analysis be integrated and systemic research as regards 9 types of H-G model.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.826-831
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• 2003

보드 게임은 다양한 주제와 사회성을 바탕으로 발전해 왔으며, 최근에는 보드 카페 등의 활동으로 수많은 계층의 커뮤니티가 형성되고 있다. 그러나 이러한 보드 게임의 특성에 관한 연구는 전혀 이루어지지 않고 있다. 따라서 본 연구에서는 보드 게임의 놀이적 특성과 방향성에 따라 보드 게임을 분석하고 유형을 분류하였다.

• Journal of Korea Multimedia Society
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• v.10 no.4
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• pp.483-491
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• 2007

This paper proposes a Situation Simulation Framework for implementing computer game and describes the possibility of analyzing game with unfolding situation. In last few years game systems have been evolving from the performance of physical engine, network traffic in the on line game to the representation of rendering physical phenomena. In computer game, a situation hierarchy structure which allows the designer for simulating high-level specifications of game structure. Logically simulated environment is created by defining situations and events based on hierarchy structure of the situation. We classify events into explicit event is occurred by user and implicit event is occurred by system. Our study defines the existence of objects is the most prevalent factor applied to any event in game world. The advantages of this approach are able to allow for providing the conceptual design for simulation game and analyzing the situation in the game world. And this method allows us to decrease the complexity of system design and abstraction modeling for the simulation game. Specially, the introduction of the definition of events allows us to approach game design in a structural manner rather than by their classification. The proposed method was implemented in the "Shooting BaDuk" among games.

• Journal of the Korean Society for Computer Game
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• v.31 no.4
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• pp.81-89
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• 2018

The purpose of this study is to classify the types of internet personal game broadcasting in China and to examine viewers' preferences type of it. By targeting top 100 creators of Player-Unknown's Battleground streaming as a personal game broadcaster with over 100,000 followers, the game types were classified based on the purpose and characteristic of game broadcasting such as game play, entertainment, and audience participation. As a result, the type of internet personal game broadcasting in China was classified into progamer type, cooperative playing type, storytelling type, and reciprocal entertainment type. The progamer type was 38% and it was the highest proportion of Player-Unknown's Battlegrounds streaming. Next came storytelling type, cooperative playing type and reciprocal entertainment type with 25%, 19% and 18% respectively. In sum, progamer type and storytelling type which shows relatively low real - time communication with audiences accounted for a high percentage of 63%. This implies that the characteristics of the broadcast media focused on 'showing' have influenced the production and planning of personal game broad casting. The interactive characteristics of the platform of personal game broad casting can be expected to gradually change the conventional customs of broadcasting media.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.1-14
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• 2019

Because of the characteristics of game software, it is important to quickly identify and reflect users' needs into game software after its launch. However, most sites such as the Google Play Store, where users can download games and post reviews, provide only very limited and ambiguous classification categories for game reviews. Therefore, in this paper, we develop an automatic classification system for game reviews that categorizes reviews into categories that are clearer and more useful for game providers. The developed system converts words in reviews into vectors using word2vec, which is a representative word embedding model, and classifies reviews into the most relevant categories by measuring the similarity between those vectors and each category. Especially, in order to choose the best similarity measure that directly affects the classification performance of the system, we have compared the performance of three representative similarity measures, the Euclidean similarity, cosine similarity, and the extended Jaccard similarity, in a real environment. Furthermore, to allow a review to be classified into multiple categories, we use a threshold-based multi-category classification method. Through experiments on real reviews collected from Google Play Store, we have confirmed that the system achieved up to 95% accuracy.

• Information Systems Review
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• v.9 no.2
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• pp.15-39
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• 2007

Mobile games have emerged as the most innovative entertainment technology, adding new revenue streams, taking advantage of the potential of wireless applications and service offerings. Mobile games, like any other types of computer game, offer a unique value for users in providing an exciting digital experience in virtual worlds. In this paper, we attempt to investigate the demographic factors which play critical roles in determining the level of playing times; classify mobile gamers based on their motives for playing games; and empirically test differences in their demographic factors and mobile game usage. Statistical results show that significant differences in playing times exist, depending upon their age, gender, mobile device, mobile phone usage, mobile game experiences, and preferred games genres. Applying Factor analysis, we have identified Escape, Social interaction, Challenge and Competition, Fantasy, Diversion and Relaxation, Ease of Accessibility as key motivators for playing mobile games. Additional cluster analysis shows that the categorization of gamers, according to their usage habits and the key motivators for playing, can be made as follows: Multi-gamers, Communication-focused gamers and Mobile active-gamers. Further correlation of these grouping with socio-economic data shows the significant differences in gaming habits and patterns of mobile phone use.

• 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.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2016.10a
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• pp.17-18
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• 2016