• Journal of Korea Game Society
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• v.10 no.5
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• pp.3-13
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• 2010

This paper focuses on the sequences between game performance, game experience, game generation. Present-day the game has powerful effects to form new human species as game generation. Especially, the experience game is important because it could have one of the most powerful effect by characteristics of own interface. First of all, this paper analyzes a experience of the experience game and researches the game-extended space. Secondly, We create concept of 'new game generation' in order to explain new human species on the experience game. So we can reveal the social meaning of accelerated present state by the experience game through this new analysis.

• Cartoon and Animation Studies
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• s.13
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• pp.223-236
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• 2008

The video game industry is obsessed by the perception of "Next Generation Game". Appearance of the next generation game console has required the video game industry to renovate new technologies for their entire production. This tendency increases a huge mount of production cost. Game companies have to hire more designers to create a solid concept, artists to generate more detailed content, and programmers to optimize for more complex hardware. All those high cost efforts provide great locking games, but the potential of next generation game consoles does not end there. They also bring possibilities of the new types of gameplay. Next generation game contains a much larger pool of memories for every video game elements. The entire video game used to use roughly 800 animation files, but next generation game is pushing scripted event well over 4000 animation flies. That allows a lot of very unique custom animation for pretty much every action in the game. It gives game players much more vivid and realistic appreciation of the virtual world. Players are not being able to see any recycling of the same animation over and over when they are playing next generation game. The main purpose of this thesis is that defines the concept of next generation game and analyzes new animation-pipeline to be used in the shooter games.

• Journal of Korea Game Society
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• v.10 no.2
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• pp.21-27
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• 2010

This paper is an analysis of the domestic game users preference for physical interactive game consol-Nintendo Wii. The on-line game is the biggest share in korean game market and the 20's is the laregest generation in domestic game users. We conducted the surveys and group discussion to find out how the 20's game users prefer the new console and new type games. I hope the result of survey will assist the development of new game console and new game type.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.4255-4269
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• 2019

This paper proposes an image generation method using a Multi Discriminator Generative Adversarial Net (MDGAN) as a next generation 2D game sprite creation technique. The proposed GAN is an Autoencoder-based model that receives three areas of information-color, shape, and animation, and combines them into new images. This model consists of two encoders that extract color and shape from each image, and a decoder that takes all the values of each encoder and generates an animated image. We also suggest an image processing technique during the learning process to remove the noise of the generated images. The resulting images show that 2D sprites in games can be generated by independently learning the three image attributes of shape, color, and animation. The proposed system can increase the productivity of massive 2D image modification work during the game development process. The experimental results demonstrate that our MDGAN can be used for 2D image sprite generation and modification work with little manual cost.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.1
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• pp.145-155
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• 2015

The game industry has changed along with the advancement of device technology. The wearable, a recently appeared device will create new demand in this saturated age of the smart devices. The game industry's content targeted towards the wearable devices will play an important role as main driving source. For this reason, this research studies the development aspect and the current technical capabilities of games' platforms and contents by analyzing the contrast between the results of features and current situations of the wearable market. Consequently, we define the prospects of game content for wearable device. We also expect that the new style of the game content, combined with cloud game, augmented reality game and virtual reality game will appear in the next generation platforms gearing towards the wearable devices.

• Journal of Korea Game Society
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• v.13 no.6
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• pp.15-26
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• 2013

In recent years, studies in BCI game with popular BCI devices are progressing actively by the development of BCI(Brain Computer Interface) techniques. Most of BCI games have developed as experimental contents for researching. On the game control paradigm, it is insufficient to conduct a study about induced methods of proper barinwave to control the BCI game. In this study, we suggest a rhythm game using BCI which has a new play element that visualizes the rhythm of music and represents the notes of music in sound and a generation method of visual-auditory feedback through the synchronization of the tempo of music with brainwave. Experimental Results make certain that our suggestion is possible for the improvement of game score through the induction of brainwave that is necessary to control the game.

• Journal of Korea Game Society
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• v.11 no.2
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• pp.19-28
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• 2011

Level design is one of the important factors in tower defense game development. The difficulty of tower defense game depends on its wave design. In general, it requires a lot of manual labor to generate well-balanced waves with fun. In this paper, we propose a new automated wave generation system by using a genetic algorithm. With our system, a game designer can easily generate an optimized wave by designating the difficulty level in the initial stage of game design. Our system can be useful in reducing the trial-errors in the initial level design process of tower defense game development.

• Journal of Korea Game Society
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• v.17 no.6
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• pp.129-138
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• 2017

In football simulation games, it is very important for the interest of the game to make the stats of the football players close to reality. As the management concept is introduced to the sports simulation game, when the user plays the game for a long time, the existing player character retires. Therefore, the game creates the environment of the game by creating a new player in the game. In this study, we propose a method to create a new player character by using genetic algorithm to have the optimal ability similar to existing players. We compare and evaluate the player character with the existing random generation method, the correction random method and the proposed algorithm, and verify the validity of the proposed method.

• KIEE International Transactions on Power Engineering
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• v.5A no.1
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• pp.85-92
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• 2005

In this paper, Nash equilibriums of generation markets are investigated using a game theory application for simplified competitive electricity markets. We analyze the characteristics of equilibrium states in N-company spot markets modeled by uniform pricing auctions and propose a new method for obtaining Nash equilibriums of the auction. We assume that spot markets are operated as uniform pricing auctions and that each generation company submits its bids into the auction in the form of a seal-bid. Depending on the bids of generation companies, market demands are allocated to each company accordingly. The uniform pricing auction in this analysis can be formulated as a non-cooperative and static game in which generation companies correspond to players of the game. The coefficient of the bidding function of company-n is the strategy of player-n (company-n) and the payoff of player-n is defined as its profit from the uniform price auction. The solution of this game can be obtained using the concept of the non-cooperative equilibrium originating from the Nash idea. Based on the so called residual demand curve, we can derive the best response function of each generation company in the uniform pricing auction with N companies, analytically. Finally, we present an efficient means to obtain all the possible equilibrium set pairs and to examine their feasibilities as Nash equilibriums. A simple numerical example with three generation companies is demonstrated to illustrate the basic idea of the proposed methodology. From this, we can see the applicability of the proposed method to the real-world problem, even though further future analysis is required.

• Journal of Korea Game Society
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• v.18 no.2
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• pp.89-98
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• 2018

The recent Neural Network technique has shown good performance in content generation such as image generation in addition to the conventional classification problem and clustering problem solving. In this study, we propose an image generation method using artificial neural network as a next generation content creation technique. The proposed artificial neural network model receives two images and combines them into a new image by taking color from one image and shape from the other image. This model is made up of Convolutional Neural Network, which has two encoders for extracting color and shape from images, and a decoder for taking all the values of each encoder and generating a combination image. The result of this work can be applied to various 2D image generation and modification works in game development process at low cost.