• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.39-46
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• 2020

Recently, for designing virtual characters in the battle game field effectively, some methods are very needed to predicate the win rates of the battle of them efficiently. In this paper, we propose a method to solve this problem by combining simulation and machine learning. Firstly, a simulation is used to analyze the win rates of the battle of virtual characters in the battle game. In addition, we apply a regression model based machine learning scheme to predict win rates of the battle of virtual characters according to their abilities. Our experimental results using suggested method show that it is almost no difference between the win rates of the simulation and the prediction results using the machine learning scheme. And also, we can obtain good performance in the experiment using only simple regression based machine learning model.

• The Journal of the Korea Contents Association
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• v.8 no.3
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• pp.117-126
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• 2008

Lacan's Identification theory has been applied to various cultural genres such as literature, film, media so on. Especially, Identification theory in Film Theory gives game researchers who try to apply identification theory to the game, a concrete base. This paper aims to explain the gamer's action through identification theory. Thus, we divide identification into the level of the gamer's point of view and that of the character in game text. While point-on-view of identification, the primary identification, in film has been explained that the audience identifies with camera's point-of view, in game one identifies with various point-of-views. There are two aspects of Identification of characters in game. First, gamers identify themselves with moving images on screen. Second, They identify with the roles given to themselves. The factors which allow them identification are suppression of false statement system, interpolation and process of selection, arrangement, a cursor, colours on screen.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.103-110
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• 2015

Recently, Classification of characters in a 3D FPS game has emerged as a very significant issue. In this study, We propose the game character Classification method using Image Region Segmentation of the extracting meaningful object in a simple operation. In this method, first used a non-linear RGB color model and octree color quantization scheme. The input image represented a less than 20 quantized color and uses a small number of meaningful color histogram. And then, the image divided into small blocks, calculate the degree of similarity between the color histogram intersection and adjacent block in block units. Because, except for the block boundary according to the texture and to extract only the boundaries of the object block. Set a region by these boundary blocks as a game object and can be used for FPS game play. Through experiment, we obtain accuracy of more than 80% for Classification method using each feature. Thus, using this property, characters could be classified effectively and it draws the game more speed and strategic actions as a result.

• Journal of Korea Game Society
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• v.6 no.2
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• pp.23-32
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• 2006

This article attempts to suggest a frame of game genres by appling the concept of narrative. The narrative is traditional and useful concept in game study, though the narrative of computer games is under discussion. In the main discourse, syntagmatic/paradigmatic character of narrative and the rate of importance of narrative in the game are used for two axis to set the location of computer game genres. As a result, I could find the location of computer game genres that reflects the characters of narrative.

• Journal of Internet Computing and Services
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• v.10 no.1
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• pp.93-99
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• 2009

Game program manufacture had been classed by 3D or on-line game etc. simply. But, atomized game programmer's kind now. So, Artificial Intelligence game programmer's role is important. This paper used reinforcement learning algorithm for Jul_Gonu board characters to learn, and so they can move intelligently. To compare a learned character to an random one, a board game was created, and then they fought against each other. As a result, learned character‘s ability was far more improved.

• Journal of Korea Game Society
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• v.17 no.6
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• pp.173-188
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• 2017

This study explores the gender status of $Pok{\acute{e}}mon$ Series by analyzing the aspects of male/male-dominated $Pok{\acute{e}}mons$ and female/female-dominated $Pok{\acute{e}}mons$. Counting from the First Generation to the Seventh Generation $Pok{\acute{e}}mon$, there are 802 characters. Each $Pok{\acute{e}}mon$ has different gender ratio; the one $Pok{\acute{e}}mon$ could have more "possibility" to become male, female, equal, or genderless when he/she is born. This study examines those $Pok{\acute{e}}mons$ in three criteria: 1) Frequency 2) Stats 3) Diversification of Type, and it compares them based on their gender. $Pok{\acute{e}}mon$ Series is different than other video games as it provides many characters ($Pok{\acute{e}}mons$). Thus, it helps the audience to view the gender status of video game characters more closely and meaningfully.

• Journal of Korea Game Society
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• v.17 no.4
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• pp.91-100
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• 2017

A player character has a significant influence on immersion. In order to understand the consumers, it is necessary to compare age and gender of player characters, which is the most basic feature of the player character. We selected a prize winning work of 15 years of USA and japanese as research subjects(in RPG and Adventure), classified age and gender of player characters and analyzed the result. In the japanese games, the ratio of pre-set player characters was 94.3% for age and 88.6% for gender. In the USA games, It was the order of the pre-set character which did not specify the age and the customized type character. In this research, we would like to contribute guidelines for player character setting to successfully advance into the USA and Japanese game market.

• Journal of the HCI Society of Korea
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• v.13 no.4
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• pp.15-23
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• 2018

A lot of games are supposed to play through controller operations, such as mouse and keyboard rather than user's physical movement. These games have limitation that causes the user lack of movement. Therefore, this study will solve the problems that these traditional game systems have through the development of a motion-producing system, and provide users more realistic system. It recognizes the user's position in a given space and provides a mobile augmented reality system that interacts with virtual game characters. It uses augmented reality technology to make users feel as if virtual characters exist in real space and it designs a mobile game system that uses armband controllers that interact with virtual characters.

• Journal of Korea Game Society
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• v.16 no.1
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• pp.23-32
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• 2016

A recent emotion research has attracted attention as an element to enhance the interaction with the user to play the game. Emotion expressed in the previous game was using a simple structure. However, increasing the user's needs of emotions that have been used in the game is necessary to structure the emotions caused. In this paper, it was utilized for the character of emotion in the game rules of the proposed emotion based on the principle of biological feelings. And it was classified a game component that affects the emotions and character provides a structure for recognizing the emotion from the game. This paper provides a structural framework to be considered in order to analyze emotions used in existing game to the role of emotion, to express emotion in the game.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.4200-4206
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• 2012

Recently, online-game industry has been rapidly expanding in these days. But, the various game service victimized cases are generated by the bots program. Particularly, the abnormal collection of the game money and item loses the inherent fun of a game. It reaches ultimately the definite bad effect to the game life cycle. In this paper, we propose a Bots detection method by observing the playing patterns of game characters with game log data. It analyzed behaviors of human players as well as bots and identified features to build the model to differentiate bots from human players. In an experiment, by using the served online-game, the model of a user and bots were generated was distinguished. And the reasonable result was confirmed.