• 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.15 no.4
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• pp.121-132
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• 2015

This study suggests a design for an analytical software program and method for multitasking e-sports viewing through the web using an eye tracking device. To fulfill this task, we designed a Window of Interest (WOI) to measure and record visually on a screen wherever numerous multitasking activities occur. In addition, we developed an OBS (Opensource Broadcaster Software) plug-in that records and streams participant viewing behavior patterns in real time. The purpose of this study is as follows. First, unlike existing tools that limit web interface recording to still images, the developed tool can record dynamically via media such as videos. Second, when several windows are processed on a screen, the tool can accurately record the gaze positions of the participants. Lastly, the tool can enhance the objective validity of the data as it can be implemented in natural situations. Therefore, this study can trace natural viewing patterns and behavior as we do not create artificial experimental environments and stimuli.

• Journal of Korea Game Society
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• v.10 no.4
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• pp.23-34
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• 2010

The current interests in e-sports is being extended to the fields of education these days. Professional game players, so called as 'Pro-Gamers', therefore, should be recognized as human resource for education, and the theoretical foundation for them needs to be established. This study examines informal learning styles, motivation, and interactions among professional game players in South Korea. The aim of this grounded theory study is to discover the trajectory of professional game players' experiences and explain what properties and interactions they are facing depending on the stage of the trajectory. This study conceptualizes educational meaning within and across the society of StarCraft Pro-Gamers, providing suggestions for the management of human resource using models constructed. Data was analyzed by interviewing 1 consultant, 2 directors and 9 Pro-Gamers. By analyzing the data, this study explored what learning strategies Pro-Gamers construct and apply in their trajectory as Pro-Gamers. It includes how they organize learning, how they formulate their motivation and goals, how they cooperate and compete, what curricula they adapt, how they become one of the ace players overcoming their slump, and how informal education works in practice in the interaction among members of a StarCraft Pro-Gamer team. Finally, in this paper the stage theory was presented. It is argued that when the stage of the players shifts (Stage Shifting). It also brings changes to proficiency properties, emotional properties, interactional properties and educational properties related to each stage. Stages are categorized by five levels: Enjoying, Struggling, Achieving, Slumping, and Recovering. Although each stage has its own properties, the stages are grouped by two main properties, one of which is a Communicative Stage and the other is a Practicing Stage.

• 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 Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.183-189
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• 2023

Most of the games in the RTS genre, including games such as Starcraft and LOL, which are considered the most successful works in E-sports, have become increasingly uniform and boring. In order to make more changes in a uniform and boring system, I thought it could be solved through a combination of genres that have been fully developed and verified, so I tried to present a new game paradigm. To this end, let's focus on the genres of RTS andt TCG among the popular game genres and present a new paradigm by combining the dynamic and static features of these two genres. The new Real-Time Trading Card (RTTC) genre of game system proposed in this paper refers to a new type of game system that fuses the dynamic and static elements of the game. This mixed genre can be a new paradigm for games that can satisfy both gamers and viewers by minimizing the uniformity of the game while adding the randomness of cards to the characteristics of RTS called real-time warfare.

• Journal of Korea Game Society
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• v.22 no.1
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• pp.109-118
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• 2022

The main objective of this study is to empirically analyze the relationship among the major variables of viewing motivation, audience satisfaction, and behavioral intention in the esports spectatorship based on the uses and gratification theory. Through the exploratory factor analysis, we have identified major motivation measures of esports. Regression analysis also showed key motivation factors on audience satisfaction and behavioral intention.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.131-139
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• 2020

Gamers switch their games to a new when get bored or encounter more attractive ones. Switching cost varies by gamers and depends on how they are satisfied with their current game. This study evaluates the satisfaction with current games as the miltiple basic psychological need in the self-determination theory and suggests 'needs-costs' causality research model that explain the variety of gamer's switching behavior. As the empirical test to domestic mobile gamers, the autonomy fulfillment to current game affect reversely with those of autonomy and relatedness. Those relationships between need satisfaction and perceptual switching cost vary according to their age and game genre preference. The results would be applied to understand gamers' switching behavior.

• Journal of Korean Orthopaedic Sports Medicine
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• v.3 no.1
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• pp.22-24
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• 2004

Snowboarding has become one of the premier alpine sports. The past decade has seen the popularity of snowboarding increase dramatically and the recent Winter Olympic Game showcased the strong visual appeal of the sport and the youth-oriented lifestyle and culture that accompanies it. The injury profile of the sport has also undergone change along with technological advances in boot and binding systems and the changing demographics of the sports participants. Central to the development of injury-prevention strategies is knowledge of the profile of injuries that occur, understanding those who are at particular risk and, if possible, the biomechanical factors involved in each injury type. Snowboarding was initially considered a dangerous, uncontrolled, alpine sport - an opinion based on little or no scientific evidence. That evidence has rapidly grown over the past decade and we now know that snowboard injury rates are no different to those in skiing; however, the injury profile is different. The purpose of this review is to give some perspective to the current snowboard injury literature. It discusses not only the demographic profile of those injured and the type of injuries that occur, but also gives some insight into the progress that has occurred in determining the impact of specific prevention strategies, such as splints to prevent injuries to the wrist/forearm. As the literature indicates, however, some things will not change, e.g. injuries are more likely to occur in beginners and lessons need to be reinforced as a fundamental aspect of any injury-prevention strategy.

• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.974-982
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• 2019

Real-time 360 VR (Virtual Reality) stereo image acquisition technique based on game engine was proposed. However, GPU (Graphics Processing Unit) resource is not fully utilized due to bottlenecks. In this paper, we propose an improved GPU scheduling technique to solve the bottleneck of the existing technique and measure the performance of the proposed technique using the sample games of the commercial game engine. As a result, proposed technique showed an improvement of performance up to 70% and usage of GPU resources more evenly compared existing technique.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.127-128
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• 2023

게임관련 학업을 전공으로 하는 남학생 31명, 여학생 18명, 총 49명을 대상으로 e스포츠 관련 지식과 정부를 얼마나 많이 알고 있는가의 정보 수집의 차이에 대한 연구를 하였다. 그 결과 남학생의 평균 값은 3.22이고 여학생의 평균 값은 2.44로 두 집단의 평균의 차이를 보이고 있다. 두 집단간의 평균의 차이를 알기 위해 T-test를 실시한 결과, 유의수준 P값이 0.0024(P>0.05)로 남녀 두 집단간의 e스포츠에 관한 정보수집의 차이가 있는 것으로 나타났다.