• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.137-146
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• 2020

VR(Virtual Reality), which has drawn attention as a major area in ICT, is currently being used in various fields, including medical care, movies and architecture. Although VR technology is used in various fields, contents are mainly developed by creators where needs of users are easily left out of consideration leading to failure in forming a consensus between UI(User Interface) and UX(user experience). To identify the consumer preference and attribute level of VR game content, which is responsible for the largest proportion of VR contents, this study was designed to examine the consumers' preference properties of VR game contents through a Conjoint Analysis and derive the relative importance and weightings of each group. The study collected 166 questionnaires over a total of three months from May to July 2019, 150 of which were completed (90.4%). Statistic analysis was conducted using SPSS Ver. 25.0. The results of the study showed that the genre of the game (42.6%), number of players (24.0%), price for payment (20.3%) and game planning (13.1%) were important attributes in choosing VR games. The optimal mix of attributes was derived with new games, RPGs, multi-play and medium price (22,000 KRW). Before mentioning technology in the expectations of users who use VR game content, which is the most preferred among VR contents, this study recognized the need to have a fun and new experience through VR game content. Therefore, it is expected that this will serve as a reference for consumer behavior of VR game contents and research on VR game contents development.

• Journal of Korea Game Society
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• v.12 no.1
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• pp.25-32
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• 2012

In recently, one of the most interests is a field related with serious game. Most game users perform the first for the executing of tutorial before they use a serious game for the first time. But in most case, developers do not recognize importance of tutorial and they do not consider the type of user preference tutorial and make tutorials only as developer's intentions. In our study, we carry out investigation and analysis about type of providing tutorials in representative serious games. Also, we do a survey of users' preferences for types of tutorials. If developers use the result of our study and we can expect more convenient and good quality of tutorial development.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.19-41
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• 2015

Many studies have focused on the influences and outcomes of online game addiction. However, few studies have investigated how the online game addiction prevention behavior differs depending on online game user. In order to fill this gap, this study attempts to classify online game users based on risk perception attitude (RPA) framework. More specifically, this research tries to show online game user can be classified into four groups based on perceived risk of online game addiction and efficacy beliefs of online game addiction protection, and to identify how the groups differ in terms of motivation, information seeking, and behaviors for online game addiction prevention. For this purpose, analysis on survey data from 240 Korean college students who use online game reveals that the users can be classified into responsive, avoidance, proactive, indifference groups. Furthermore, there are differences between groups in terms of motivation, information seeking, and behaviors for online game addiction prevention. This study contributes to expand existing literature by providing tailored guidelines for implementation of online game addiction prevention strategies and policy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.955-960
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• 2008

Supporting the interactive relation between gamer and computer, and offering the game world information, the user interface in online games plays an important role for a gamer to lead game into the intended direction. The purpose of this study is to analyse a currently utilized online game with educational implications and to analyse its user interface design elements, in order to suggest the strategy how to reformative educational online games.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.71-77
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• 2011

CEP(Complex Event Processing) is a technique to find complex event pattern in a massive information system. Based on CEP technique, an abuse pattern monitoring method has been developed to provide an real-time detection. In the method, the events occurred by game-play are observed to be against the rules using CEP. User abuse patterns are pre-registered in CEP engine. And CEP engine monitors user abuse after aggregating the game data transferred by game logging server. This article provides the performance analysis results of the abuse pattern monitoring method using real game DB. We results that the method proposed in previous study is effective to monitor abusing users.

• Journal of Korea Multimedia Society
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• v.25 no.6
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• pp.844-851
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• 2022

This study intends to propose an evaluation tool for analyzing the sense of immersion of realistic VR game contents in the metabus game industry, which is rapidly increasing recently. This paper presents an analysis tool to measure the degree of immersion after selecting three types VR games for research, and analyzing the immersion way method of the game. The research method analyzes how the user and the sense of immersion formed in the storytelling in the game can have an effect. Based on the results, we present an sense of immersion analysis and measurement method for evaluating the usability of VR game contents, which is a key element in the metaverse era. Furthermore, it expands the immersion element that appears in storytelling to the game industry and seeks a new direction of development through connection with the VR game industry.

• 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.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.4
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• pp.260-270
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• 2013

This paper proposes a strategic portfolio model for managing performance of online games. The portfolio matrix is composed of two dimensions: financial performance and non-financial performance. Financial performance is measured by the conventional measure, average revenue per user (ARPU). In terms of non-financial performance, five non-financial key performance indicators (KPIs) that have been widely used in the online game industry are utilized: RU (Register User), VU (Visiting User), TS (Time Spent), ACU (Average Current User), MCU (Maximum Current User). Data envelopment analysis (DEA) is then employed to produce a single performance measure aggregating the five KPIs. DEA is a linear programming model for measuring the relative efficiency of decision making unit (DMUs) with multiple inputs and outputs. This study employs DEA as a tool for multiple criteria decision making (MCDM), in particular, the pure output model without inputs. Combining the two types of performance produces the online game portfolio matrix with four quadrants: Dark Horse, Stop Loss, Jack Pot, Luxury Goods. A case study of 39 online games provided by company 'N' is provided. The proposed portfolio model is expected to be fruitfully used for strategic decision making of online game companies.

• KIISE Transactions on Computing Practices
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• v.21 no.10
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• pp.658-669
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• 2015

The paradigm of game development changes with technological trends. If the system can analyze and determine undefined inputs, users' input choices are not restricted. Therefore, game scenarios can have multifarious flows depending upon the user's input data. In this paper, we propose a method of including an output plan in the game system that is based on the user's input but is not restricted to predefined choices. We have implemented an experimental game on the Android platform by combining network communication and APIs. The game interface works as follows: first, the user's input data is transmitted to the server using HTTP protocol; then, the server carries out an analysis on the input data; and finally, the server returns the decision result to the game device. The game can provide users a scenario that corresponds to the decision results. In this paper, we used an image file for the user's input data format. The server calculates similarities between the user's image file and reference images obtained from the Naver Image Search API and then returns determination results. We have confirmed the value of integrating the game development framework with other computing technologies demonstrating the potential of the proposed methods for application to various future game interfaces.

• Journal of Korea Game Society
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• v.18 no.6
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• pp.69-82
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• 2018

The need of high quality VR contents has been steadily raised in recent years. Therefore, this study investigated the user's interest factors of VR game which is receiving the most attention among VR contents. We used STEAM review data and applied Text mining and Network analysis to perform this research. As a result, it was possible to confirm 4 word clusters related VR game users. Each cluster is named by 'presence', 'first person view game', 'auditory factor' and 'interaction'. This study has its meaning. First, user related research would be very helpful to develop high quality VR game. Second, it confirms that review data of VR game users can be structured, analyzed and used.