• Journal of Information Technology Applications and Management
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• v.14 no.2
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• pp.71-96
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• 2007

The objectives of this study are to investigate factors influencing trust on internet shopping mall and to examine whether these factors on trust have differences between Korean and Chinese users. Based on the literature reviews, this study employs six factors in two groups of influencing factors, web-site characteristics and individual characteristics as key determinants of trust in internet shopping mall. Analysis of 470 responses(Korean: 320 users, Chinese: 150 users) of survey questionnaire indicates the following: In terms of the relationship between web-site characteristics factors and the trust, the results showed significant differences between Korean and Chinese samples. For the Korean samples, transaction security and interactivity were the only significant influencing factors. For the Chinese samples, perceived reputation and perceived size were the only significant factors. In terms of individual characteristics factors, the influencing factors were found identical for the samples. Both propensity to trust and familarity were significant factors in both Korean and Chinese samples. Based on the findings, managerial implications are discussed in building user trust in internet shopping mall in Korean and Chinese market.

• Journal of the Korea Society of Computer and Information
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• v.6 no.2
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• pp.152-156
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• 2001

Internet shopping mall is growing the new paradigm of a next generation commerce. And, the primary goal of a shopping mall web site is to facilitate economic action. Therefore. it is important in designing the shopping mall to support consumer's behaviors characteristics of a traditional commerce, This paper analyzed and evaluated two shopping mall with regard to consumer's behaviors characteristics. It is used the method of a user's performance and a subjective evaluation. It was shown that the user prefered the shopping mall web site to analogy with the traditional commerce pattern. Also, the database of an anatomic data and the development of a 3D virtual environment are suggested.

• Journal of Internet Computing and Services
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• v.17 no.4
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• pp.61-68
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• 2016

In this paper, an implementation method of augmented reality (AR) technology using Web 3.0 information services in the field of disaster response is proposed. The structure and characteristics of semantic web-based Web 3.0 are realized and a AR based mobile visual search (MVS) applied in the disaster sites is described. Based on Web 3.0 and AR MVS, a semantic web ontology oriented configuration scheme for disaster-related information and the communication scheme of information provided by AR technology are proposed. For the purpose of providing disaster-related and customized information to the disaster response site quickly and accurately, a method of leveraging Web 3.0 information services in AR technology is presented.

• Journal of The Korean Association of Information Education
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• v.8 no.3
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• pp.375-384
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• 2004

With the advance of information communication technology, specifically the Internet technology, most schools have developed their own Web sites for the communication of diverse parties such as students, their parents, teachers, and others. In spite of the wide spread of school Web sites, their bulletin board systems are usually developed under the Web-boards for developing ordinary sites without reflecting educational environments. The purpose of this research is to develop the Web-board system for schools, which can be applied to construct adaptive school Web sites. This Web-board system is designed to reflect the educational environments as well as the user characteristics under the idea of customization and optimization. The main advantage of this Web-board system is that it can allow easy access to the system through user-friendly interface, and also promote interactions among users through their personalized Web pages.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.335-346
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• 2015

The electronic commerce site (EC site) has become an important marketing channel where consumers can purchase many kinds of products; their access logs, including purchase records and browsing histories, are saved in the EC sites' databases. These log data can be utilized for the purpose of web marketing. The customers who purchase many product items are good customers, whereas the other customers, who do not purchase many items, must not be good customers even if they browse many items. If the attributes of good customers and those of other customers are clarified, such information is valuable as input for making a new marketing strategy. Regarding the product items, the characteristics of good items that are bought by many users are valuable information. It is necessary to construct a method to efficiently analyze such characteristics. This paper proposes a new latent class model to analyze both purchasing and browsing histories to make latent item and user clusters. By applying the proposal, an example of data analysis on an EC site is demonstrated. Through the clusters obtained by the proposed latent class model and the classification rule by the decision tree model, new findings are extracted from the data of purchasing and browsing histories.

• Journal of environmental and Sanitary engineering
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• v.18 no.2
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• pp.42-51
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• 2003

Public awareness of air pollution problem has increased the need for real time air pollution information system about changes in air pollution level. The purpose of this study is to construct e-AIR, a user-friendly air pollution information system for urban air quality using GIS(geographic information system) technology for windows. GIS was ideally suited featuring a geographical characteristics(e.g., road, traffics, buildings) and very effectively used in mapping and symbolization for the distribution of the spatial/periodic pollution status(e.g., pie or column chart, graduated symbols) which can be effectively applied to a information system on the web-site. And a user interface, GUI(graphic user interface) was designed very diversely and simply enabled the users connect with e-AIR and obtain a useful information of air quality. A interpretive technique, air pollution health index(e.g., PSI, AEI) was used also which transforms complex data on measured atmospheric pollutant concentrations into a single number or set of numbers in order to make the data more understandable. Eventually the final-step of this study was to construct e-AIR based on Web GIS could be assessed anywhere if internet is available and offer a very useful information services of the air pollution to the public like a weather news.

• Archives of design research
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• v.16 no.2
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• pp.77-86
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• 2003

In web environment, we accept most of useful information visually. Icon is a channel through which we explore information, and we need icon design to deliver information clearly and quickly to users who accept information visually. Studies on icon have been carried out vigorously according to system environment, styles and characteristics of users. This study is on the metaphor icon, and judging from the characteristics of metaphor icon, it is by the phenomena of user's association of ideas. Divide metaphor and simile and analyzed metaphor icon that is searched in World Wide Web to distinguish similarity in metaphor icon special qualify, And I clarified the present condition of cognition by questionnaires asking people if they recognize the function. I also clarified if elements of icon design influence the level of user's cognition by visually comparing icons. The result of comparative analysis showed that different elements make different level of user's cognition, and to objectify it more, I made up questionnaires about elements of icon design and proved it again. To summarize the result of this study, the similarity between function and elements of design increases the level of recognition of metaphor icon proportionally. To improve user's cognition, I suggest designing with elements which materialize functions.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.51-64
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• 2014

The purpose of operating the main homepage of University is to provide the related information about University resources to site visitors. In this study, we analyze website browsing patterns and extract characteristics of users in order to improve its utilization. The access log files to main homepage were used to analyze the browsing patterns and converted to process log files adaptable to a process mining tool, ProM. Finally we provide useful information about user friendly homepage design and suggest plans for improving its utilization to website operators.

• Journal of the Korea Society of Computer and Information
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• v.19 no.7
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• pp.27-35
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• 2014

Motion Graphic developed in the visual fields such as film and TV is widely used from the fields of arts such as applied paintings to interactive media such as web sites. In particular, Motion Graphic is actively used in the film's promotion websites with the form of a mixture between characteristics of visual media and characteristics of websites. In this study, we analyze the characteristics of film's promotion websites, investigate previous studies for Motion Graphic analysis. And present a model for the analysis of websites including visual elements, media elements and motion elements as main elements. We select some of promotion websites for films among 2013 domestic hot films, carry out a case analysis, and present the direction of development on the base of the results.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.135-140
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• 2008

Studies of recommender systems have focused on improving their performance in terms of error rates between the actual and predicted preference values. Also, many studies have been conducted to investigate the relationships between customer information processing and the characteristics of recommender systems via surveys and web-based experiments. However, the actual impact of recommendation on product pages for customer browsing behavior and decision-making in the commercial environment has not, to the best of our knowledge, been investigated with actual clickstream data. The principal objective of this research is to assess the effects of product recommendation on customer behavior in e-Commerce, using actual clickstream data. For this purpose, we utilized an online bookstore's clickstream data prior to and after the web site renovation of the store. We compared the recommendation effects on customer behavior with the data. From these comparisons, we determined that the relevant recommendations in product pages have positive relationships with the acquisition of customer attention and elaboration. Additionally, the placing of recommended items in shopping cart is positively related to suggesting the relevant recommendations. However, the frequencies at which the recommended items were purchased did not differ prior to and after the renovation of the site.