• 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.

• 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.14 no.5
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• pp.25-34
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• 2014

In this paper, the weak point of AOS jenre online game which occupies the majority of Korea game market of 2014 year is analyzed and to solve the problem, the enhanced design and implementation content is introduced. The proposed game is based on the custom AOS jenre format but has the TPS view and nontargeting format to enhance the action feel. To enhance the game quality, graphics, animation, effect and sound resources are organized. Game server is implemented by multithread of IOCP model to support many clients. The technical issue and design method of client and server are described.

• 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.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.425-439
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• 2019

This study looks at the social implications of gaming disorder by considering the situation in Korea. Focusing on specificity of game genres, this study analyzed two aspects of the game playing effect-positive(cognitive needs) and negative(game addiction)-and suggested directions for game regulation policies and game addiction studies, since game playing effects are closely related to game regulatory policy. To analyze game effects and attitudes to regulations, this study performed regression analysis based on the online survey. Results show that game playing effects and attitudes toward game regulation differ based on the nature of game genres. While longer gaming increased the effect of addiction, it also increased cognitive needs. Playing roleplaying, Aeon of Strife, and strategy game genres(RAS), which are subject to game regulation, increased game addiction levels but simultaneously contributed to increased cognitive needs. While playing augmented reality genres positively affected cognitive needs, it also showed favorable attitudes to general game regulation.