• Anxiety and mood
• /
• v.4 no.2
• /
• pp.135-141
• /
• 2008

Objective : The purpose of this study was to investigate the relationship between the pattern of computer game play and emotional and behavioral characteristics of 5th and 6th grade elementary school children in Jeonju city. Methods : Fifth and sixth graders from two elementary schools (N=413, M=214, F=199) were chosen to participate in this study. The participants completed self-report questionnaires designed by the authors, and were also evaluated based on a computer game addiction scale, state-trait anxiety inventory for children, children's depression inventory and Piers-Harris children's self-esteem scale. The parents of the participants determined the disruptive behavior rating scale of the participants. Results : Positive links were reported between the pattern of computer game play (years of computer game experience, average length of each computer game play session, average time spent on computer game play per day, and average frequency of computer game play per week) and scores of computer game addiction scale. In addition, significant correlation was found between the internalized problems of children (trait anxiety, state anxiety, depression, and self-esteem), and computer game addiction scale score, among both sexes (p<0.01). There were significant correlations between game addiction scale score and inattention (p<0.01) as well as total attention deficit hyperactivity disorder (ADHD) score (p<0.05) in girls. Conclusion : Our findings suggest that computer game addiction is related to symptoms of internalizing, particularly to the trait anxiety. Significant positive correlations between game addiction scale score and externalized behavioral problems were found only in girls.

• Journal of KIISE:Software and Applications
• /
• v.34 no.1
• /
• pp.79-94
• /
• 2007

In the ubiquitous computing age which uses a high quantity network, mobile devices such as wearable and hand-held ones with a small tamers and a wireless communication module will be widely used in near future. Thus, a lot of researches about an augmented game on mobile devices have been attempted recently. The existing augmented games used a traditional 'backpack' system and a pattern marker. The 'backpack' system is expensive, cumbersome and inconvenient to use, and because of the pattern marker, it is only possible to play the game in the previously installed palace. In this paper, we propose an augmented game called Flying Cake using a face region to create the virtual object(character) without the pattern marker, which manually indicates an overlapped location of the virtual object in the real world, on a small and mobile PDA instead of the cumbersome hardware. Flying Cake is an augmented shooting game. This game supplies us with two types: 1) a single player which attacks a virtual character on images captured by a camera in an outdoor physical area, 2) dual players which attack the virtual character on images which we received through a wireless LAN. We overlap the virtual character on the face region using a face detection technique, and users play Flying Cake though attacking the virtual character. Flying Cake supplies new pleasure to flayers with a new game paradigm through an interaction between the user in the physical world captured by the PDA camera and the virtual character in a virtual world using the face detection.

• Journal of Korea Game Society
• /
• v.14 no.5
• /
• pp.127-136
• /
• 2014

NPC in game is an important factor to increase the fun of the game by cooperating with player or confrontation with player. NPC's behavior patterns in the previous games are limited. Also, there is not much difference in NPC's ability among the existing games because it's designed to FSM. Therefore, players who have matched with NPCs which have the characteristics may have difficulty to play. This paper is for improving the problem and production and evaluation of the game NPC behavior model based on wolves hunting model in real life. To achieve it, first, the research surveys and studies behavior states for wolves to capture prey in the real world. Secondly, it is implemented using the Unity3D engine. Third, this paper compares the implemented state transition probability to state transition probability in real world, state transition probability in general game. The comparison shows that the number of state transitions of NPCs increases, proportions of implemented NPC behavior patterns converges to probabilities of state transition in real-world. This means that the aggressive behavior pattern of NPC implemented is similar to the wolf hunting behavior pattern of the real world, and it can thereby provide more player experience.

• Proceedings of the Korean Society for Quality Management Conference
• /
• 2006.11a
• /
• pp.17-22
• /
• 2006

Online game industry is one of the most value added industry and continues to grow rapidly nowadays. This paper classifies the diffusion patterns of online games according to online game genre, estimates coefficients of innovation and imitation using Bass model, extracts the Bass-based adoption life cycle model which reflects the properties of each game, and then analyzes the diffusion pattern of each game. Through the research on the diffusion pattern of online games, if we can identify the characteristics of changing market and consumers in accordance with the product life cycle, we will provide the implications to the marketing strategy, which have to change at every stage of adoption life cycle, not to mention to investment plan.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.8
• /
• pp.4043-4060
• /
• 2017

Network Intrusion Detection (NID), an important topic in the field of information security, can be viewed as a pattern recognition problem. The existing pattern recognition methods can achieve a good performance when the number of training samples is large enough. However, modern network attacks are diverse and constantly updated, and the training samples have much smaller size. Furthermore, to improve the learning ability of SVM, the research of kernel functions mainly focus on the selection, construction and improvement of kernel functions. Nonetheless, in practice, there are no theories to solve the problem of the construction of kernel functions perfectly. In this paper, we effectively integrate the advantages of the radial basis function kernel and the polynomial kernel on the notion of the game theory and propose a novel kernel SVM algorithm with game theory for NID, called GTNID-SVM. The basic idea is to exploit the game theory in NID to get a SVM classifier with better learning ability and generalization performance. To the best of our knowledge, GTNID-SVM is the first algorithm that studies ensemble kernel function with game theory in NID. We conduct empirical studies on the DARPA dataset, and the results demonstrate that the proposed approach is feasible and more effective.

• The Journal of the Korea Contents Association
• /
• v.10 no.6
• /
• pp.188-196
• /
• 2010

This study aims at empiricallly designing method to increase player's play capability through determining of the relations of player's behavior pattern and emotion factors when having gameplay experiences in MMORPG. For modeling emotion factors on gameplay, Our preliminary studies are considered in the process of rule-based systems on cognitive science approach. These study estabilished game architecture process applied of player's cognitieve emotion reactions in specific situation of role playing games that have most noticeable interaction with players based on quest system. This approach is expected to extend instant responses, which can be controlled behind all of anti-main behavior pattern and main behavior pattern in game playing. Therefore, such study is meaningful that is proposed the analysis framework of player's emotion factors to design game playing capability in game interactions.

• Journal of Korea Game Society
• /
• v.18 no.2
• /
• pp.121-130
• /
• 2018

Most of those studies use frequency, the number of times a pattern appears in a transaction database, as the key measure for pattern interestingness. It prerequisites that any interesting pattern should occupy a maximum portion of the transactions it appears. But in our real world scenarios the completeness of any pattern is more likely to become various in transactions. Hence, we should also consider the problem of finding the qualified patterns with the significant values of the weighted support by completeness in order to reduce the loss of information within any pattern in transaction. In these pattern recommendation applications, patterns with higher completeness may lead to higher recall while patterns with higher completeness may lead to higher recall while patterns with higher frequency lead to higher precision. In this paper, we propose a measure of weighted support and completeness and an algorithm WSCFPM(weigted support and completeness frequent pattern mining). Our algorithm handles the invalidation of the monotone or anti-monotone property which does not hold on completeness. Extensive performance analysis show that our algorithm is very efficient and scalable for word pattern mining.

• Journal of Korea Game Society
• /
• v.16 no.5
• /
• pp.69-78
• /
• 2016

A sense of oneness between a player and an avatar is more emphasized than role-playing itself in Korean RPG playing. Because of this tendency, the main contents of smart phone-based mobile RPG are mainly focus on combat. As PvP occurs more frequently in mobile RPG, playing experiences are diversified from sensitive control to simple repetition. Also, the auto-combat function offered in game system ingenerates funs from testing a mental model that a player statistically sets before playing. This paper analyzes the process of generating fun in mobile RPG based on Ralph Koster's Game Grammar theory. is selected as subject of this analysis. The pattern of mobile RPG playing is dichotomized : automation of producing materials and concentration on raid and PvP contents.

• Journal of Korea Game Society
• /
• v.9 no.1
• /
• pp.105-114
• /
• 2009

In the game of Go, the life-and-death problem is a fundamental problem to be definitely overcome when implementing a computer Go program. To solve local Go problems such as life-and-death problems, an important consideration is how to tackle the game tree's huge branching factor and its depth. The basic idea of the experiment conducted in this article is that we modelled the human behavior to get the recognized first moves to kill the surrounded group. In the game of Go, similar life-and-death problems(patterns) often have similar solutions. To categorize similar patterns, we implemented Kohonen Neural Network(KNN) based clustering and found that the experimental result is promising and thus can compete with a pattern matching method, that uses supervised learning with a neural network, for solving life-and-death problems.

• The Journal of the Korea Contents Association
• /
• v.9 no.11
• /
• pp.108-119
• /
• 2009

The purpose of this study is to verify differences between the college students communication pattern and problem-solving ability according to the degree of their internet game addiction. Data were obtained through 295 respondents from the college students in Seoul, Kyungsang and Junra Provinces and analyzed by one-way ANOVA. The findings are as follow: First, respondents has some significant differences in communication pattern according to the degrees of the internet game addiction. Second, the high level of addiction group shows the less functional communication pattern such as placating, blaming, irrelevant stance. Third, faced with the problem, the high level of addiction group has a tendency to use more negative problem-oriented, impulsive and careless-style, avoidance-style than rational problem solving style.