• 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.

• Journal of Korea Game Society
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• v.18 no.1
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• pp.135-148
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• 2018

In this study, we suggest that Copying Theory suggested by Pym could be effective in translating games. Languages used in games are based on English because of the history of games mainly developed in America. When people are playing games, people pursue effective communication. Because of this, they transform translated words into simple forms or original foreign languages to communicate each other for effective communication, The usage of English in game translation and communication support the idea that Copying strategy could be effective in translating games.

• KIISE Transactions on Computing Practices
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• v.23 no.1
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• pp.37-44
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• 2017

Games of the AOS genre are classified as an e-sport rather than a recreational computer game. The involved statistical analyses such as game playing patterns and the season's characters gain importance due to the expertise-requiring nature of sports. In this study, the strategic analysis of computer games was conducted by using data mining techniques on League of Legend, a representative AOS game. We designed and tested a winning forecast model using winning percentage prediction techniques such as logistic regression analysis, discriminant analysis, and artificial neural networks. The game data analysis results were represented by a probabilistic graph and used in the visualization tool for game play. Experimental results of the winning forecast model showed a high classification rate of 95% on average with potential for use in establishing various strategies for game play with the visualization tool.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.237-250
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• 2017

A new field of e-sports gains the great popularity in Korea as well as abroad. AOS (aeon of strife) genre games are quickly gaining popularity with gamers from all over the world and the game companies hold game competitions. The e-sports broadcasting teams and webzines use a variety of statistical indicators. In this paper, as an AOS genre game, League of Legends game data is used for statistical analysis using the indicators to predict the outcome. We develop new indicators with the factor analysis to improve existing indicators. Also we consider discriminant function, neural network model, and SVM (support vector machine) for make winning forecasting models. As a result, the new position indicators reflect the nature of the role in the game and winning forecasting models show more than 95 percent accuracy.

• The Journal of Bigdata
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• v.5 no.2
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• pp.231-240
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• 2020

With the development in the IT industry and the growth in the game industry, user's game data is recorded in seconds according to various plays and options, and a vast amount of game data can be analyzed based on Bigdata. Combined with business, Bigdata is used to discover new values for profit creation in various fields, but it is utilized in the game industry in insufficient ways. In this study, considering the characteristics of the subdivided lines, we constructed a win-loss prediction model for each line using the game data of League of Legends, and derived the importance of variables. This study can contribute to planning of strategies for general game users to get information about team members in advance and increase the win rate by using the record search sites.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.271-276
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• 2020

This study is intended to compare and analyze the figurative characteristics of game characters focusing on the MMO shooting game 'Battle Ground' and the MOVA game 'League of Legends,' which currently have the largest number of users in Korea, in order to assess how much effect the figurative shape of game characters has on the immersion of players. As a result, the shape of characters from MOVA or MMORPG games with storytelling as an important factor was revealed to have a greater effect on the immersion degree of players than that of the characters from fast-paced shooting games. In particular, it was found that in games where the level of each character is raised as items are added, the height of most characters is the same as their own eight or nine heads, which is longer than ordinary people.

• 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.21 no.1
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• pp.149-160
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• 2021

Recently in the gaming market, immoral game behaviors such as flaming, trolling, and illegal program use have drawn attention as serious problems. With 209 gamers of , this study analyzed the effects of perception toward in-game rules, social identity, moral identity, and moral positioning with control of gender and gaming time. Results showed that moral identity and formal moral perception toward in-game rules had positive effects while moral positioning and social identity had negative effects on immoral behavior. Notably, moral identity had interaction effect with moral positioning.