• Journal of Korea Multimedia Society
• /
• v.12 no.11
• /
• pp.1652-1660
• /
• 2009

The main objective of this research is to build a behavior prediction model of gameplay for MMO (Massively Multiplayer Online) game using the GOMS analysis method. GOMS analysis is an observational approach to HCI(Human Computer Interaction) to model and predict behaviors of a human operator in a highly interactive task. In this research, a pilot experiment was previously conducted with three skilled gamers. The gamers were provided with the goals and operators through the user's guide book, and they found methods and selection rules while being observed. Based on the results obtained from the pilot study, this research was expanded and the model was further tested with 30 subjects (game experts). The new outcomes revealed that the relevance of GOMS analysis for predicting selection rules is 96.25% according to the degree of abstraction and 77.35% based on the degree of complexity. This research will provide game designers with a new testing mechanism in the early development stages, in order to improve the quality of the game product.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.5
• /
• pp.2157-2167
• /
• 2013

The current paper aims to analyze the influence of users' self evaluation of e-service quality and others' word-of-mouth(WOM) on customer satisfaction and revisit intention in a family restaurant web site. The research model includes the constructs of service quality, WOM, customer satisfaction, and revisit intention. This study examines the hypothesized model using data from 175 college students around the Seoul metropolitan area who have visited a family restaurant as well as used its web site during the last three months. The findings show that service quality has a significant impact on customer satisfaction and a full-mediation effect between WOM and customer satisfaction. In addition, customer satisfaction has a significant influence on revisit intention. Family restaurants need to have an effort to manage service quality factors and social influences such as online WOM in order to use a web site as a tool of customer relationship management.

• Journal of KIISE
• /
• v.41 no.12
• /
• pp.1110-1116
• /
• 2014

Nowadays, social networking sites (SNSs), such as Twitter, LinkedIn, and Tumblr, are coming into the forefront, due to the growth in the number of users. While users voluntarily provide their information in SNSs, privacy leakages resulting from the use of SNSs is becoming a problem owing to the evolution of large data processing techniques and the raising awareness of privacy. In order to solve this problem, the studies on protecting privacy on SNSs, based on graph and machine learning, have been conducted. However, examples of privacy leakages resulting from the advent of a new SNS are consistently being uncovered. In this paper, we propose a technique enabling a user to detect privacy leakages beforehand in the case where the service provider or third-party application developer threatens the SNS user's privacy maliciously.

• Journal of KIISE:Software and Applications
• /
• v.37 no.8
• /
• pp.620-628
• /
• 2010

With the use of the Internet pervasive in everyday life, people are now able to retrieve a lot of information through the web. However, exponential growth in the quantity of information on the web has brought limits to online search engines in their search performance by showing piles and piles of unwanted information. With so much unwanted information, web users nowadays need more time and efforts than in the past to search for needed information. This paper suggests a method of using query expansion in order to quickly bring wanted information to web users. Popularity based Term Weight Mensuration better performance than the TF-IDF and Simple Popularity Term Weight Mensuration to experiments without changes of search subject. When a subject changed during search, Popularity based Term Weight Mensuration's performance change is smaller than others.

• Journal of the Korean Society of Safety
• /
• v.33 no.2
• /
• pp.124-131
• /
• 2018

In consideration of limitations of the classic economic approach to risk evaluation and the psychometric analysis of risk perception, this study applies a facilitated modeling technique to a group of college students in Korea. In this group activities, researchers did not provide a pre-selected list of risk items. Instead, 35 participants had group discussions to generate 63 risk items, to rate their risk level and to evaluate their characteristics in terms of the level of knowledge and dreadfulness. This study also analyzes the influence of mass media, online news papers in particular, on risk perception by counting the number of news articles covering key word corresponding risk items generated. The results show that there are significant differences between the rank order of risk items generated by students and that of statistical or objective risk. Psychometric analyses find that the levels of knowledge and dreadfulness have meaningful correlations with risk level. A well known or a dreadful risk demonstrates a high level of risk. Correlation analyses of media coverage and the risk level also re-confirms strong positive relations. The larger number of news articles a risk issue was covered by, the higher level of risk it showed. It means that college students generated risk items on the basis of what they were exposed by media. The role of mass media in risk perception and the importance of risk communication in risk evaluation are underlined. Implications of research findings and future research are discussed as well.

• Journal of Broadcast Engineering
• /
• v.17 no.2
• /
• pp.223-236
• /
• 2012

We develop a video processing method that allows the more advanced human perception oriented video coding. The proposed method necessarily reflects all influences by the rate-distortion based optimization and the human visual perception that is affected by the visual saliency, the limited space-time resolution and the regional moving history. For reflecting the human perceptual effects, we devise an online moving pattern classifier using the Hedge algorithm. Then, we embed the existing visual saliency into the proposed moving patterns so as to establish a human visual perception model. In order to realize the proposed human visual perception model, we extend the conventional foveation filtering method. Compared to the conventional foveation filter only smoothing less stimulus video signals, the developed foveation filter can locally smooth and enhance signals according to the human visual perception without causing any artifacts. Due to signal enhancement, the developed foveation filter more efficiently transfers the bandwidth saved at smoothed signals to the enhanced signals. Performance evaluation verifies that the proposed video processing method satisfies the overall video quality, while improving the perceptual quality by 12%~44%.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.35 no.6
• /
• pp.621-634
• /
• 2011

This study analyzed the influencing factors on consumer purchase deferrals for internet clothing shopping. In addition, based on consumer demographics, it compared the differences of purchase deferrals with respect to clothing items, prices, and types of shopping malls. For an empirical study, 405 questionnaires were answered by respondents in their 20s and 30s with internet clothing purchase deferral experience. Data were analyzed using: SPSS for Windows 12.0 and descriptive statistics, reliability analysis, factor analysis, $X^2$-test, and regression analysis. The results of this study were as follows. First, the order of items with many purchase deferrals in internet clothing shopping were casual T-shirt>casual skirts>pants, one-piece>suits>sportswear>blouse/shirts and 58.3% of purchase deferrals happened when the price was below \50,000. Second, the significant differences in products, prices, and shopping malls for purchase deferrals were identified according to consumer demographics. There were significant differences in clothing items according to gender, age, marriage, and education; however, there were significant differences only according to gender in terms of price. There were significant differences according to gender, age, marriage, education, and income in terms of the used shopping malls. Third, for the analysis of the influence of diverse factors that can affect purchase deferrals for internet clothing shopping, the more information search, purchase deferral habits, perceived risks, and deficiency in shopping mall supply conditions were when higher purchase deferrals occurred. For a strong competitive online market, this study can help internet clothing shopping mall entrepreneurs manage products and customers by analyzing the lists of purchase deferrals indicated in "cart" and by administrating the influential factors for purchase deferral.

• Journal of the Korean Society for information Management
• /
• v.30 no.2
• /
• pp.101-118
• /
• 2013

The purpose of this study is to reveal their satisfaction procedures from users of information service expectation-disconfirmation theory. To achieve this goal, we use the NDSLQual model to measure the quality of NDSL service. The results were as follows: First, while the expectation has a negative effect on the expectation-disconfirmation, it has a positive effect on the perceived performance. And perceived performance has a positive effect on the expectation-disconfirmation. Second, the expectation-disconfirmation has a positive effect on the overall satisfaction and loyalty. However the explanatory adequacy of the regression model is very low. Third, perceived performance has a positive effect on the overall satisfaction and loyalty. In order to increase the overall satisfaction and loyalty for NDSL, it is necessary to seek ways to improve the perceived performance and lower the expectation-disconfirmation.

• The Journal of the Korea Contents Association
• /
• v.20 no.8
• /
• pp.199-210
• /
• 2020

This study tries to understand the CSR Activities of Airline on Brand Awareness and Brand Loyalty. Within the last year, online surveys were conducted on consumers with experience in air travel. The empirical survey was conducted between Feb 11 and Feb 25, 2020, and 220 valid questionnaires were analyzed. The results of the study are as follows. First, CSR Activities of Airline was divided into Economic Responsibility, Legal Responsibility, Ethical Responsibility and Philanthropic Responsibility according to the literature review. Analysis showed that CSR Activities of Airline has effect on Brand Awareness accordingly. Second, CSR Activities of Airline has effects Brand Loyalty. Third, Brand Awareness has effects Brand Loyalty. The findings has significant implications for CSR Activities of Airline, Brand Awareness, Brand Loyalty and academic researchers. This research has several implications such as CSR Activities of Airline should be preceded in order to enhance brand Awareness and strengthen Brand Loyalty.

• The Journal of the Korea Contents Association
• /
• v.12 no.3
• /
• pp.487-497
• /
• 2012

The purpose of this study is to increase the level of learning achievement and satisfaction by developing of on-line learning instruments. This study was to investigate the relationship among learning instrumments(lecture, homeworks, on-line interaction and off-line interaction), learning achievement and learning satisfaction. This survey was conducted 226 responses of e-learning social welfare education learners. Research method used Amos 18. Result indicated that homeworks and off-line interactive instruments had a positive effect on learning achievement and satisfaction. And lecture had a positive effect on learning satisfaction, but on-line mode interaction instruments had no effect. In order to improve the effectiveness of learning, structural development of activity learning instrument is necessary. And to foster learning satisfaction, it will be necessary to increase the learning achievement.