• Journal of Korea Game Society
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• v.18 no.3
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• pp.27-38
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• 2018

This paper is designed to propose the contents necessary for updating and developing future mobile RPG game developers through a usability evaluation of Users using In-App Payment Services at Lineage M. This paper conducted a usability assessment for quantitative assessment of users who use in-app payment services for mobile game 'Lineage M'. The tool for usability assessment was surveyed in a questionnaire designed based on 'The User Experience Honeycomb' defined by Peter Morville. These statistical results were then divided into lateral analyses. Through this, it is expected that game developers and planners will be able to find data to help develop new mobile RPG games.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.217-224
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• 2006

As the online game which is possible of large-scale multiple access enjoys popularity, the number of development by many online game manufacturers came to increase exponentially. But, the reason why the qualitative expansion pace cannot follow the pace of the quantitative expansion on games is that most of them are paltry enterprises except the leading enterprises which are occupying few competitive advantages, so there is no well-established production procedure, and accurate test before the launch isn't accompanied. Therefore, it doesn't cope flexibly to the expectable results. Now, important function is not embodied through the game feature checking stage of the same feature or is under the situation being used in finding out the fatal error of the specific parts. To this, this study collects the emotional vocabulary in the games to suggest the evaluation system that can evaluate the emotion the user feels while playing the game with the usage of the evaluation system that is leaned toward the existing usage evaluation system, and through factor analysis, we classify them into interactivity, interface and information factors and suggest the emotion evaluation system while designing the evaluation questions according to it.

• Journal of Korea Game Society
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• v.1 no.1
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• pp.61-67
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• 2001

This paper describes a program which learns good strategies for two-poison, deterministic, zero-sum board games of perfect information. The program learns by simply playing the game against either a human or computer opponent. The results of the program's teaming of a lot of games are reported. The program consists of search kernel and a move generator module. Only the move generator is modified to reflect the rules of the game to be played. The kernel uses a temporal difference procedure combined with a backpropagation neural network to team good evaluation functions for the game being played. Central to the performance of the program is the search procedure. This is a the capture tree search used in most successful janggi playing programs. It is based on the idea of using search to correct errors in evaluations of positions. This procedure is described, analyzed, tested, and implemented in the game-teaming program. Both the test results and the performance of the program confirm the results of the analysis which indicate that search improves game playing performance for sufficiently accurate evaluation functions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.2414-2428
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• 2018

In order to solve the problem that the current network security situation assessment methods just focus on the attack behaviors, this paper proposes a kind of network security situation assessment method based on Markov Decision Process and Game theory. The method takes the Markov Game model as the core, and uses the 4 levels data fusion to realize the evaluation of the network security situation. In this process, the Nash equilibrium point of the game is used to determine the impact on the network security. Experiments show that the results of this method are basically consistent with the expert evaluation data. As the method takes full account of the interaction between the attackers and defenders, it is closer to reality, and can accurately assess network security situation.

• Archives of design research
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• v.19 no.2 s.64
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• pp.195-206
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• 2006

The computer game industry has managed to become the fastest growing segment of the entertainment industry nowadays. However, only a very low number of computer game products manage to cover the costs of production and generate earnings. According to traditional marketing wisdom, customers' preferences are a core issue in creating successful products, and the design process in game is crucial for guaranteeing garners' satisfaction. This research aimed to explore key design factors for the game design based on the new framework of the usability evaluation. We examined the usability in Massively Multi-player Online Role-playing Games (MMORPGs) and reviewed literatures related to games simultaneously. We identified eighteen usability issues in MMORPG and presented its recommendation relevant to the issues. Moreover, the results of the study showed fifty four key design factors composed of game interface, game play, game narrative, and game mechanics for the game design. The research is concluded with key implications to support the early stage of the design process in game.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1280-1283
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• 2008

The network performance of MOGs(Multiplayer Online Games) can be measured by the amount of network loads and the response times on user inputs. This paper introduces a frame locking algorithm and a game turn algorithm that have been used for game synchronization in the area of RTS(Real-time Strategy Simulation) Games, a kind of MOG; the results of performance evaluation of these two algorithms are also given. In addition, a server architecture for MOG servers in which replacing synchronization algorithms can be done easily for pursuing efficient performance evaluation, is also introduced.

• The Journal of Information Systems
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• v.20 no.4
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• pp.73-101
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• 2011

This study tried to find the source of the success of on-line game sites and the way how the absorption and the satisfaction would have the relationship with the intention-to-use of on-line game sites. The primary purpose of this study is to establish the empirical model on the determinants of on-line game sites. The research model of this study will have insights which are trigger to the higher dimensions on the model and to the importance of the evaluation criterions of game sites. The suggestions of the study are as follows. First, the precedent factors of research model were tested for the commonality with explorative factor analysis and then tried the confirmative factor analysis. Thus, the determinants in this model will be used for further study without an evaluation. Second, the factors which have a most significant effect on the mediating factor like the absorption are a skill of user and an activity of community. Furthermore, the information quality of game sites was most significant in the satisfaction of user. Third, the most factors which included in the research model were significant to intention-to-use, however, the system quality did negatively significant.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.12
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• pp.1657-1664
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• 2018

This paper proposes a decision making scheme for choosing the best move at each state of game in order to implement an artificial intelligence othello game player. The proposed decision making scheme predicts the various possible states of the game when the game has progressed from the current state, evaluates the degree of possibility of winning or losing the game at the states, and searches the best move based on the evaluation. In this paper, we generate learning data by decomposing the records of professional players' real game into states, matching and accumulating winning points to the states, and using the Artificial Neural Network that learned them, we evaluated the value of each predicted state and applied the Minimax search to determine the best move. We implemented an artificial intelligence player of the Othello game by applying the proposed scheme and evaluated the performance of the game player through games with three different artificial intelligence players.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.298-299
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• 2018

In this study, the discriminant power of the DEA models which do not require the prior information of decision makers was evaluated. Entropy model, Bootstrap model, Benevolent Cross Efficiency model, Aggressive Cross Efficiency model and Game Cross Efficiency model were selected as the DEA model for discriminant power evaluation. The discriminant power of five DEA models was evaluated using coefficient of variation and degree of importance. According to the evaluation results, the rank of discrimination power was evaluated in the order of Entropy model, Aggressive CE model, Benevolent CE model, Game CE model, and Bootstrap model in both evaluation indexes.

• The Research Journal of the Costume Culture
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• v.21 no.2
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• pp.287-300
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• 2013

The aim of this study was to find typology of fashion-related mobile applications through exploratory investigation and to investigate differences in Korea and U.S. App stores. And then, through the qualitative evaluation about fashion mobile applications, this study proposes fashion mobile application's design and contents which can be preferred by users. By conducting keyword search in each store, 122 Korean applications and 150 US applications were analyzed. Empirical findings revealed that there were seven major types of fashion mobile applications: brand, magazine, information, SNS, game, shopping and coordination. Information type applications took up the largest portion, and SNS and game type applications showed higher ranking among customers. There were more game Apps in US and more shopping Apps in Korean stores. More free Apps were found in Korean App stores, whereas relatively more paid Apps were found in US App stores especially in game, magazine and information type applications. And as a result of usability evaluation of fashion mobile application, users prefer SNS and information category application to shopping and brand category. Also users want continuous improvement and new contents for fashion mobile application.