• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.626-642
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• 2018

Recently, a number of studies have drawn attention to purchasing online game items. Most of the studies are based on the assumption that consumers behave rationally. Accordingly, TRA- or value-based approaches have been mainly employed to understand the online purchases of game items. However, the purchasing behavior of consumers involves not only making rational decisions, but also making irrational decisions. Hence, their purchase behavior is affected by propensities for conspicuous consumption, impulsive consumption, and habitual consumption. Playing games can be highly addictive, and players often display such addictive behaviors. Our study explored both the rational and irrational factors in purchase behavior to understand how they are associated with purchasing game items. A total of 366 pieces of data were collected from Korean online game users through a survey. Regression analyses of the collected data showed that the behavior of buying game items was influenced not only by the intention to purchase which is a rational factor in consumption, but also by such irrational factors as habit, impulse, and ostentation which should be further emphasized in future studies.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.77-87
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• 2015

Parrondo paradox is the counter-intuitive phenomenon where two losing games can be combined to win or two winning games can be combined to lose. In this paper, we consider an ensemble of players, one of whom is chosen randomly to play game A' or game B. In game A', the randomly chosen player transfers one unit of his capital to another randomly selected player. In game B, the player plays the history-dependent Parrondo game in which the winning probability of the present trial depends on the results of the last two trials in the past. We show that Parrondo paradox exists in this redistribution model of the history-dependent Parrondo game.

• Journal of East-West Nursing Research
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• v.21 no.1
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• pp.78-84
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• 2015

Purpose: The purpose of this study was to investigate the relationship between self-esteem, social support, smartphone dependency and internet game dependency of college students. Methods: This was a descriptive study. The survey participants were 299 college students in M city and I city. The data were collected from June 2 to June 20, 2014 and self-report questionnaires including Self-Esteem Scale, Multidimensional Scale of Perceived Social Support, Smartphone Dependency Sale, Internet Game Dependency Scale. Data were analyzed by descriptive statistics, independent-sample t-test, ANOVA, stepwise multiple regression. Results: Social support & smartphone dependency showed significant differences according to gender. Smartphone dependency was found to have a statistically negative correlation with self-esteem, social support and positive correlation with internet game dependency. Internet game dependency was found to have a statistically negative correlation with self-esteem, social support. Social support was found to have a statistically negative correlation with self-esteem. Stepwise multiple regression analysis revealed that the significant predictors of smartphone dependency were internet game dependency, gender, self-esteem, accounted for 16.6% of the variance. Conclusion: It is necessary for reduction program of college students' smartphone dependency that consider their internet game dependency, gender, self-esteem.

• Journal of Korea Game Society
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• v.14 no.6
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• pp.29-38
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• 2014

In the large scale indoor 3D game scenes, the data amount of potentially visible set (PVS) which pre-computes the information of occlusion culling can be huge. However, the large part of them can be represented as zero. In this paper, the effective hardware structure is designed, which compresses PVS data as the way of zero run length encoding (ZRLE) during building the scene trees of 3D games in mobile environments. The compression ratio of the proposed structure and the rendering speed (frame per second: FPS) according to both PVS culling and frustum culling are analyzed under 3D game simulations.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.164-178
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• 2008

Game theory is adapted to a variety of domains such as economics, biology, engineering, political science, computer science, and philosophy in order to analyze economic behaviors. This research is an application of game theory to wireless communication. In particular, in terms of bargaining game we dealt with a multimedia resource allocation algorithm in wireless communication, which is rapidly spreading such as Wibro, WCDML, IPTV, etc. The algorithm is assumed to allocate multimedia resources to users who can choose and access differentiated media services. For this purpose, a utility function of users is devised to reflect quality of service (QoS) and price. We illustrated experimental results with synthesis data which were made to mimic real multimedia data, and analyzed differentiated service providing and the effect of the utility function.

• International Journal of Control, Automation, and Systems
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• v.1 no.2
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• pp.222-228
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• 2003

A tool which can be used for the analysis of a robot soccer game is presented. The tool enables automatic filtering and selection of game sequences which are suitable for the analysis of the game. Fuzzy logic is used since the data gathered by a camera is highly noisy. The data used in the paper was recorded during the game Germany - Slovenia in Hagen, on November 11, 2001. The dynamic parameters of our robots are estimated using the least squares technique. Meandering parameters are estimated and an attempt is made to identify the strategy of the opposing team with the method of introspection.

• 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.

• Journal of Korea Game Society
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• v.16 no.3
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• pp.17-26
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• 2016

In the domestic game development field, game system planning is the work that game designers design the gameplay mechanics system to satisfy the game concepts in the perspective of creative design by data structural methods. But the programmers work to design the game system based on the results of the game system planning in the perspective of engineering design by object-oriented methods. This work process is a high risky way for high occurring probability of communication errors between the game designers and programmers, and mismatching errors in their work results. In this study, we propose an object-oriented design method of game system for the game designers in order to resolve this problem. The proposed method is a customized one of GRAPPLE object-oriented SW development guidelines to suit the game system planning. To investigate the effectiveness of the proposed planning method for the game designers, we carried out a survey targeting 10 game system designers working in the domestic game industry. The survey results show that the necessity and effectiveness of the proposed method is "a little over" for almost the game designers.

• Journal of Korea Game Society
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• v.16 no.2
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• pp.7-16
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• 2016

In this paper, we propose a method for effectively detecting specific behavior. The proposed method detects outlying behavior based on the game players' characteristics. These characteristics are captured non-invasively in a general game environment and add keystroke based on repeated pattern. In this paper, cameras were used to analyze observed data such as facial expressions and player movements. Moreover, multimodal data from the game players was used to analyze high-dimensional game-player data for a detection effect of repeated behaviour pattern. A support vector machine was used to efficiently detect outlying behaviors. We verified the effectiveness of the proposed method using games from several genres. The recall rate of the outlying behavior pre-identified by industry experts was approximately 70%. In addition, Repeated behaviour pattern can be analysed possible. The proposed method can also be used for feedback and quantification about analysis of various interactive content provided in PC environments.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.359-366
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• 2013

In this paper, we studied how the data obesity can affect in which the response speed of database gradually slows down. Our research is performed by analyzing how the game data infrastructure is well-formed. Although there are a variety of ways to evaluate to measure the level of infrastructure, we performed with real information system. We analyzed data obesity by comparing the entity-relationship models between the products of real game information system and newly modeled databases. We could find data obesity is over 60% among overall average of game information system. It shows that 45% higher than standard obesity which is 15%. In this paper, data redundancy rate after performing the procedure of the data modeling was 41% resulting in an improvement of 23% compared to 64% of an existing model.