• Journal of Korea Game Society
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• v.16 no.6
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• pp.7-18
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• 2016

This study was conducted to construct a program combining play and laughing activities with personality education. Self-recorded questionnaire was administered to investigate popularity of play(playing rules area, traditional play area, board game area), the laughing activity, digital games preference among 5th and 6th grade students. Most popular activities was board game area, followed by rule play area, traditional play area, and laughing activity in order. Group play among the rule play area, and Yutnory among traditional play, and digital games among board games were most preferred. This study suggest primitive classification and characterization of play and activities among senior elementary students. Further study for define classification of other eligible play and activities may be encouraged to establis high quality play and activity programs among elementary school students.

• Journal of Korea Game Society
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• v.14 no.2
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• pp.29-44
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• 2014

This Study analyzes gameness in SNS. SNS is not only communication tool for real life but also game like media for the experimental fiction. As the media like games, SNS meets 6 classic game features. After the Tatradic analysis, Expressive and manipulation rules move SNS paidia direction, player's effort and negotiable outcome are obsolesced. Player's attachment is enhanced and in SNS, the tradition of MUD retrieves abstract ground with representative expression. As following result, SNS is able to extend its own area to the player's creative world for the possible. SNS is the media like games.

• Journal of Korea Game Society
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• v.14 no.5
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• pp.7-14
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• 2014

Since educational and fun elements coexist in an educational game, it is important to come up with standards that can elicit fun with the game as well as educational standards. Many of the existing developed educational games have received low marks in the characteristics of entertainment and game design. Thus, how to make up for their entertainment characteristics is important. This paper analyzes gaming elements of puzzle games that were released for smart phones and gained massive popularity from their users and will apply them to educational games. Such games that have gained popularity and won a commercial success include Anipang, Anipang 2, Candy Crush Saga, Farm Heroes Saga and Pokopang. This study will analyze gaming elements of these games. By analyzing the educational games, it is applied to the game elements of casual games. In addition, we have proposed a element that can enhance the immersive. Game design elements that can improve entertainment characteristics include game rules, stages and missions. Elements that can increase immersion include items, background maps and new learning environments. This paper has significance in that it analyzes entertainment characteristics, which mean the fun of games through those that have been a commercial success and applies them to educational games.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.3
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• pp.322-331
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• 2003

As the complexity of a 3D game is increased by various factors of the game scenario, it has a problem for controlling the interrelation of the game objects. Therefore, a game system has a necessity of the coordination of the responses of the game objects. Also, it is necessary to control the behaviors of animations of the game objects in terms of the game scenario. To produce realistic game simulations, a system has to include a structure for designing the interactions among the game objects. This paper presents a method that designs the dynamic control mechanism for the interaction of the game objects in the game scenario. For the method, we suggest a game agent system as a framework that is based on intelligent agents who can make decisions using specific rules. Game agent systems are used in order to manage environment data, to simulate the game objects, to control interactions among game objects, and to support visual authoring interface that ran define a various interrelations of the game objects. These techniques can process the autonomy level of the game objects and the associated collision avoidance method, etc. Also, it is possible to make the coherent decision-making ability of the game objects about a change of the scene. In this paper, the rule-based behavior control was designed to guide the simulation of the game objects. The rules are pre-defined by the user using visual interface for designing their interaction. The Agent State Decision Network, which is composed of the visual elements, is able to pass the information and infers the current state of the game objects. All of such methods can monitor and check a variation of motion state between game objects in real time. Finally, we present a validation of the control method together with a simple case-study example. In this paper, we design and implement the supervised classification systems for high resolution satellite images. The systems support various interfaces and statistical data of training samples so that we can select the most effective training data. In addition, the efficient extension of new classification algorithms and satellite image formats are applied easily through the modularized systems. The classifiers are considered the characteristics of spectral bands from the selected training data. They provide various supervised classification algorithms which include Parallelepiped, Minimum distance, Mahalanobis distance, Maximum likelihood and Fuzzy theory. We used IKONOS images for the input and verified the systems for the classification of high resolution satellite images.

• Journal of Digital Contents Society
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• v.12 no.2
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• pp.217-223
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• 2011

AI(Artificial Intelligence) refers to the area of computer engineering and IT technology that focuses on the methodology and creation of intelligent agents. The Othello game is often produced with AI, since it is played with relatively simple rules on a board and on a limited space of 8 rows and 8 columns. Previous algorithms take longer time than desirable and often fail to face new circumstances, as they search for all the possible cases and rules. In order to solve this crucial weakness, we propose that a CBR algorithm be applied to Orthello. Case-Based Reasoning(CBR), is the process of solving new problems based on the solutions of the past similar problems. We can apply this process to Othello and expedite the process of computer reasoning for a solution to new cases based on the data from accumulated past cases. Then, these new solutions are dynamically added to the set of past cases so that it becomes harder for players(users) to be able to read the pattern. The proposed system in which a CBR algorithm is applied to the Othello game makes the computation process faster and the game harder to play.

• Journal of Educational Research in Mathematics
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• v.16 no.1
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• pp.43-58
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• 2006

An objective of this paper is to discuss the didactical contracts which have been conceptualized by Brousseau. He modelled mathematics instruction as a game. In such game, didactical contracts existed as its own hidden rules which teacher and student should obey Brousseau introduced it to reveal certain hidden rules which regulates mathematics instruction. Those rules are implicit and reciprocal. In particular, it is not revealed until students break. He defined didactical contracts as teacher's behaviour and corresponding students 'behaviour in order to define it operationally. He he did not define it in psychological and epistemological dimension. But it is necessary to discuss teacher's belief system and epistemology, since teacher's behaviour in instruction is affected by them. He also did not discuss fully teacher's breaking of didactical contracts.

• Journal of the Korean Society for Computer Game
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• v.31 no.4
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• pp.9-15
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• 2018

The purpose of this study is to investigate the actual situation of the surrogate games and win trading gameplays in e-sports leagues, and to insist on the creation of new regulations to punish them. The surrogate game surveys was conducted for 40 amateur users and 17 professional users in e-sports leagues. The survey was conducted in-depth interviews with a professional user to learn more about the actual situation of the win trading gameplay. As a result of the study, professional users had a high rate of experience with Gahz'rilla, and they would be able to increase their game rankings through Gahz'rilla. But they did not think Gahz'rilla is a surrogate game. Amateur users had a low rate of experience with Gahz'rilla and did not think they would be able to increase their game rankings through Gahz'rilla relative to professional users. Amature users tend to think of Gahz'rilla as a surrogate game. Both the users agree on the necessity of regulation on Gahz'rilla and surrogate game. Therefore, it is necessary to narrow the gap between the professional users and the amateur users by establishing rules for Gahz'rilla and surrogate game.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.2
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• pp.225-238
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• 2012

Among the various security threats in online games, the use of game bots is the most serious problem. In this paper, we propose a framework for user behavior analysis for bot detection in online games. Specifically, we focus on party play that reflects the social activities of gamers: In a Massively Multi-user Online Role Playing Game (MMORPG), party play log includes a distinguished information that can classify game users under normal-user and abnormal-user. That is because the bot users' main activities target on the acquisition of cyber assets. Through a statistical analysis of user behaviors in game activity logs, we establish the threshold levels of the activities that allow us to identify game bots. Also, we build a knowledge base of detection rules based on this statistical analysis. We apply these rule reasoner to the sixth most popular online game in the world. As a result, we can detect game bot users with a high accuracy rate of 95.92%.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.11
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• pp.529-534
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• 2021

Computing thinking is regarded as one of the important skills required in the 21st century, and many countries have introduced and implemented computing thinking training courses. Among computational thinking education methods, educational game-based methods increase student participation and motivation, and increase access to computational thinking. Autothinking is an educational game developed for the purpose of providing computational thinking education to learners. It is an adaptive system that dynamically provides feedback to learners and automatically adjusts the difficulty according to the learner's computational thinking ability. However, because the game was designed based on rules, it cannot intelligently consider the computational thinking of learners or give feedback. In this study, game data collected through Autothikning is introduced, and game score prediction that reflects computational thinking is performed in order to increase the adaptability of the game by using it. To solve this problem, a comparative study was conducted on linear regression, decision tree, random forest, and support vector machine algorithms, which are most commonly used in regression problems. As a result of the study, the linear regression method showed the best performance in predicting game scores.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.85-92
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• 2022

In this study, we aim to design an action game that increases the user experience. In order to increase the immersion of the game, the characteristics of the game used by the user were analyzed, and the systemic and visual characteristics of the game were designed with reference to each characteristic. The proposed method uses Unity 3D to implement an interaction system between objects in the game and is designed in a way that allows users to immerse themselves in the game. To induce immersion through the visual elements of the game, 2D objects and players are placed in a 3D space, and a 2D dynamic light shader is added. It is composed of inter-combat rules and monster behavior pattern collision detection and event detection. The proposed method contained the user experience with the implementation thesis, and showed the game's possibility of leading the user's affordance.