• Journal of Korea Game Society
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• v.21 no.3
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• pp.117-132
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• 2021

This paper investigates how information game users needs to play game is offered to game user by applying the notion of explicitation toward translated game texts. By using League of Legends' Character lines, Character Abilities and Equipment Description texts as a case, this paper focused on how 'Insertion(addition)' and 'Replacement' method are applied toward game translation and which information is being explicitated. As a result, this paper found out that translation on Player vs. Player genre game, explicitation occurs by adding or replacing words containing information needed, and information about game control was prioritized among other information related with game universe and culture.

• Journal of Korea Multimedia Society
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• v.23 no.12
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• pp.1565-1575
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• 2020

This study examines the game balance of the MOBA game genre, which was selected as a model item for the Asian Games. The "bird-eye view" was used for a more efficient representation of 3D modeling. Based on that, statistical analysis was conducted to present appropriate game camera settings and camera balance to match the competitive structure of the MOBA game. A review of the game camera settings reveals that 64° to 70° is the angle that minimizes the difference in vision between the two-player teams the most. Through a one-way ANOVA analysis, we found that the user ranking level and SVB value are closely related. Therefore, the factor of the regression equation using the SVB value must have a user ranking level. As a result of the optimized camera focus analysis of , the camera setting methods were classified into 3 types. For main action games, the recommended camera angle is 64°~66°, and the recommended camera focus is 11.2 mm~19.3 mm. For action and strategy games, the camera angle is 66°~68°, camera focus - 19.3 mm~27.3 mm. And lastly, for the main strategy game, the recommended camera angle is 68°~70°, and the camera focus is 27.3 mm~35.3 mm.

• Journal of Korea Game Society
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• v.21 no.5
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• pp.133-142
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• 2021

This study investigated the effectiveness of 'League of Legends (LoL) game school', an e-sports online training program for relieving youth game over-flow. The Seoul Metropolitan Office of Education's Student Education Institute ran the program. Through this study, it was found that various activities to learn an e-sports game professionally and to explore career paths regarding game had positive effects on students' affections and intrinsic motivation. This study may contribute to helping youth as generation Z understand a healthy game culture.

• Journal of Korea Game Society
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• v.15 no.1
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• pp.185-198
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• 2015

The purpose of this study is to analyze representation of characters of AOS online-game in order to find out the meanings of ontological game characters. This study selects characters of on-line game to analyze representations of game characters by Pierre L$\acute{e}$vy's ontological theory. The characters which represented in on-line games reproduced by costume play in off-line world reflect human desire and construct human existence. Online game character is an existing substance, which could expand human experiences by crossing virtual game world and reality in digital era.

• Journal of Korea Game Society
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• v.15 no.1
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• pp.35-44
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• 2015

The purpose of this study is to analyze user-generated rules in online games and to define the way of players' identities are developed. This study focuses on the online game League of Legends, which originated from use map system. Based on rule theory, this study analyzes the characteristics of user-generated rules. As the result, this study proves that the main rule of online game is not the rules made by developers, but the emergent rules made by players. Through rule-detection and rule-selection process, user-generated rules change the game system. Therefore, the result of this study expects to show meaningful roles of players in game system.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.213-221
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• 2021

In this paper, we suggest the Deep Neural Network Model System for predicting results of the match of 'League of Legends (LOL).' The model utilized approximately 26,000 matches of the LOL game and Keras of Tensorflow. It performed an accuracy of 93.75% without overfitting disadvantage in predicting the '2020 League of Legends Worlds Championship' utilizing the real data in the middle of the game. It employed functions of Sigmoid, Relu and Logcosh, for better performance. The experiments found that the four variables largely affected the accuracy of predicting the match --- 'Dragon Gap', 'Level Gap', 'Blue Rift Heralds', and 'Tower Kills Gap,' and ordinary users can also use the model to help develop game strategies by focusing on four elements. Furthermore, the model can be applied to predicting the match of E-sports professional leagues around the world and to the useful training indicators for professional teams, contributing to vitalization of E-sports.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.2
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• pp.61-68
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• 2020

E-sports has grown steadily in recent years and has become a popular sport in the world. In this paper, we propose a win-loss prediction model of League of Legends at the start of the game. In League of Legends, the combination of a champion statistics of the team that is made through each player's selection affects the win-loss of the game. The proposed model is a deep learning model based on Bidirectional LSTM embedding which considers a combination of champion statistics for each team without any domain knowledge. Compared with other prediction models, the highest prediction accuracy of 58.07% was evaluated in the proposed model considering a combination of champion statistics for each team.

• Journal of Korea Game Society
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• v.14 no.5
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• pp.147-160
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• 2014

The purpose of this study is to analyze figurations of genders in on-line game character in order to find out the ways of building gender identity of on-line game characters. This study selects characters in on-line game to analyze figurations of genders in game systems, images, discourses of game characters by using gender identity theory and examine the reproducing process of players. As the result, the gender identity of on-line game characters which was pre-given by game developers follows the same conventions and stereotypes in real world and also the players follow it in the same manner. On-line game has the potential of text involvement and modification of the game players, and it has immanent possibilities of becoming alternative space of endless improvement and evolvement.

• Journal of Korea Game Society
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• v.14 no.3
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• pp.35-46
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• 2014

With the introduction of e-Sports, games have emerged as a new public culture. Also, it has had positive effects on related industries including game, contents, broadcasting, IT and more. Studies on eSports consumer behavior are required for the continuous vitalization of the eSports industry. However, there are insufficient studies on the psychological aspect of eSports consumers. This study aims to find the motivations for watching the League of Legends(LoL), which has opened a new paradigm of eSports. We also find the relationship between such viewing motivation and satisfaction. This study is expected to be the base of future studies on eSports consumer motivation and establish effective marketing strategies in the industry.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.69-78
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• 2020

K/DA is a K-pop virtual idol based on the game character. This study analyzed the creation process, characteristics and existential meaning of virtual idols from the perspective of Pataphysics. K/DA is a character with both characteristics of game character and K-pop girl group. Also, virtual character and real idol share the body through motion capture and augmented reality(AR). As a result, K/DA crosses virtual and reality, and at the same time becomes a pataphysical subject that does not belong to either virtual or reality. K/DA is suggested a third zone where digital subjects will be located in the future.