• Journal of Digital Convergence
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• v.11 no.4
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• pp.397-402
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• 2013

The development case presented is about the development of smart education contents for development of creativity, and suggests the development contents and approach to design of software of teaching materials based on G-Learning which allow learner to interact depending on their dispositions. Above all, focusing on design approach in order to maximize interaction which is the characteristic of game, the education contents that enable learner to be immersed by education level as per learner's disposition have been developed, and it allows to compose the level of difficulty based contents according to level design plan. Also, it is the case that the contents allow for effective education by setting visual environment which enables learner to be immersed depending on learner's disposition with the realization of object which appears in respect of vision and visual Customizing of character.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.980-983
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• 2012

Nowadays, with increasing in difficulty level of elementary, junior high and high school education, we are growing more and more interested in the national history. We intend to develop the mobile App to make the people have the concern and interest in the national cultural assets to introduce the information about them. The game can be learned easily and we are increased the interest in the national cultural assets by game speed. We intent to develop the mobile App to be able to search the information about the national cultural assets at anytime and anywhere. This App uses the Model2 Architecture MVC method.

• Journal of Korea Game Society
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• v.18 no.3
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• pp.113-122
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• 2018

In this paper, we will discuss planning and production of VR contents for effective racing drone steering training. In the real world, direct racing drone training training is obviously a space and economic limit. We propose through the production of VR-based drone infiltration action game as a solution to these limitations and try to improve effective drone handling ability. Especially, we designed the virtual reality contents in a similar environment by using the similarity of FPV goggles and HMD based VR, and designed virtual drones, maps and obstacles considering the characteristics of the structures used in racing drone and drone racing. Also, we tried to increase the user's immersion and presence by increasing difficulty level of obstacles.

• Journal of Korea Game Society
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• v.17 no.3
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• pp.63-70
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• 2017

In AI research Go is regarded as the most challenging board game due to the positional evaluation difficulty and the huge branching factor. MCTS is an exciting breakthrough to overcome these problems. The idea behind AlphaGo was to estimate the winning rate of a given position and then to lead deeper search for finding the best promising move. In this paper, using non-strategic MCTS we verified the fact that most pro players regard the best first move as Tengen (Origin of heaven) in $9{\times}9$ Go is correct. We also compared the average winning rates of the most popular first moves.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.129-140
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• 2022

The purpose of this study to improve the shoulder wheel that is used frequently during shoulder circumduction exercise in a park, to link the shoulder wheel to a game application comprising various shoulder circumduction exercise and shoulder ROM exercise, and to enjoy the game during the exercises. A step motor was added to the shoulder wheel, and the rotating speed and rotating angle, and rotating direction can be controlled. The shoulder height, different for different people, can be controlled as well, so that any user can use this device. The developed application content includes the game elements, to enjoy the repetitive and boring exercise with fun and interest, and the control to adjust the degree of difficulty. This was to help users heighten their desire to rehabilitate by inducing active participation during repetitive shoulder rehabilitation exercise because the game vests users with intrinsic motivation and immersion. If the shoulder wheel and application contents proposed in this study are used, shoulder diseases can be prevented in advance by performing muscle strengthening exercises required in an aging society. This study is expected to contribute to the field of research related to serious games and rehabilitation.

• Journal of Korea Game Society
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• v.15 no.1
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• pp.155-170
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• 2015

This study aims to investigate the Learning and fun aspects of dance games by examining their instructive values. Dance Central 2 was analysed with a focus on its educational functions by observing dance moves. Therefore this study looked into the game's educational elements that create learning effects and fun elements that attract continuous and voluntary participation. Analysis was implemented based on the physical, cognitive, and emotional aspects for Learning elements and the aspects of graphics, sound, video, rewards, target-setting, difficulty levels, and control for fun elements. As a result, it was found that the practice and performance modes of Dance Central 2 have elements that can improve players dance skills. Of course, there may be difference in players' participation and effects depending on their goals and objectives. Consequently, the continuous use of the dance game supported by player's dance skills and commitment will improve learning.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.353-361
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• 2013

In this study, to analyze the factors affecting the purchase of smart device applications, research model based on AHP(Analytic Hierarchy Process) model was employed and derived consumers' priorities of smart device game applications in the framework of contents characteristic factors. Survey was conducted with 10 experts who are involved in the smart game industry. The empirical result showed that the most important purchasing factor was story(0.217). And fame(0.171), graphics(0.134), operability(0.111), information(0.093), difficulty(0.085), speed(0.068), characters(0.053), price(0.042), genre(0.028) are presented in order in terms of the importance. The order of consumers' preferences to smart device game application was RPG, Tycoon, action, simulation, sports/leisure, quiz/puzzle/board, etc. gamble. It suggested that under the environment of smart devices consumers could enjoy not only simple puzzle and board game but also complicated and difficult games such as RPG and tycoon game due to the development of smart devices.

• Journal of Korea Game Society
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• v.14 no.5
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• pp.127-136
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• 2014

NPC in game is an important factor to increase the fun of the game by cooperating with player or confrontation with player. NPC's behavior patterns in the previous games are limited. Also, there is not much difference in NPC's ability among the existing games because it's designed to FSM. Therefore, players who have matched with NPCs which have the characteristics may have difficulty to play. This paper is for improving the problem and production and evaluation of the game NPC behavior model based on wolves hunting model in real life. To achieve it, first, the research surveys and studies behavior states for wolves to capture prey in the real world. Secondly, it is implemented using the Unity3D engine. Third, this paper compares the implemented state transition probability to state transition probability in real world, state transition probability in general game. The comparison shows that the number of state transitions of NPCs increases, proportions of implemented NPC behavior patterns converges to probabilities of state transition in real-world. This means that the aggressive behavior pattern of NPC implemented is similar to the wolf hunting behavior pattern of the real world, and it can thereby provide more player experience.

• Journal of the Korean School Mathematics Society
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• v.21 no.3
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• pp.267-285
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• 2018

The purpose of this thesis is to analyze and compare 'Game Activities' of elementary mathematics textbooks developed in the national curriculum revised in 2015, and to find suggestions to improve 'Game Activities' of the textbooks based on the results. The main results of this study are as follows. First, as for materials, various types of materials were used in 'Game Activities'. Also, more various materials were included in 2nd grade textbooks and 1st, 2nd grade teacher's guidebooks than 1st grade textbooks. Second, this study analyzed the patterns of organization. The result showed that group and pair activities accounted for the highest rate among other patterns of organizations. Textbooks should include more pattern types of organizations that teachers could use them properly according to numbers of students in classes. For the 'Game Activities', students need to understand basic concepts of the chapter first. Students with lower levels would have difficulty participating in the 'Game Activities'. Thus, there is a need to include activities for students with lower levels in teachers' guidebooks, reflecting a variety of students levels.

• Smart Media Journal
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• v.13 no.2
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• pp.32-43
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• 2024

Game agents which are behavioral agent for game playing are a crucial component of game satisfaction. However it takes a lot of time and effort to create game agents for various game levels, environments, and players. In addition, when the game environment changes such as adding contents or updating characters, new game agents need to be developed and the development difficulty gradually increases. And it is important to have a game agent that can be customized for different levels of players. This is because a game agent that can play games of various levels is more useful and can increase the satisfaction of more players than a high-level game agent. In this paper, we propose a method for learning and controlling the level of play of game agents that can be rapidly developed and fine-tuned for various game environments and changes. At this time, reinforcement learning applies a policy-based distributed reinforcement learning method IMPALA for flexible processing and fast learning of various behavioral structures. Once reinforcement learning is complete, we choose actions by sampling based on Softmax-Temperature method. From this result, we show that the game agent's play level decreases as the Temperature value increases. This shows that it is possible to easily control the play level.