• Journal of the Korean Society of Costume
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• v.64 no.2
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• pp.70-83
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• 2014

This study was done to provide the basic data for improving the sizing system for infants and children's clothing. The 97 brands were surveyed through market research and on-line searching. Size and body measurements were analyzed according to the content of nominal size, type of market, national and foreign brands, and meaning of reference size. The results are as follows: 1. The meaning of nominal sizes was categorized as five cases: the size based on body measurements, the size based on age, the meaningless size, letter cord and combination of 2 out of 4 cases above. The nominal size based on height was most observed, and the meaningless nominal size was second. The meaningless nominal size can cause confusion when consumer buys clothing. 2. The department stores mainly used the nominal size based on body measurements, but the Internet shopping malls largely used the meaningless nominal size. 3. Both national brands and foreign brands mainly used the nominal size based on height. But national brands largely used the different nominal sizes. 4. 41 brands indicated body measurements as reference size and 26 brands indicated product measurements as reference size. Therefore consumers tended to confuse the body measurements with the product measurement.

• The Journal of the Korea Contents Association
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• v.5 no.1
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• pp.45-53
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• 2005

With the rapid progress of research to offer a convenience of mobile communication, the mobile users can use not only the services of voice call but also the variety services of data communication using Internet. These include Internet Searching, Internet Shopping and Internet banking and Internet stock exchange and electronic payment and so on, based on PKI. Also, the need of data communication between the mobile users has been increased. As it is possible for mobile users to do user authentication, key distribution, encryption, decryption and so on, it is needed the certificate status validation between the mobile users. However due to the PCS(Personal Communication System) had been only designed and implemented for voice call between the mobile users, it is not easy to apply data communication between the mobile users on PKI. Therefore the study of for the data communication between the mobile users in PCS is a few. It is for the data transfer between the mobile users to communicate using call processing of PCS. So, we propose how to process the certificate status validation during call processing for data communication between the mobile users in the PCS.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.1-12
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• 2018

The objective of this study is to explore the way to improve baby boom generation's ICT skills in their daily life. This study explores the effect of leisure activities on ICT skills. The analysis used 2016 Korea Media Panel data. Results show that the more leisure activities baby-boomers participate, the higher ICT skills they could get. The result of 2SLS regression also supports the leisure activities' effect on the improvement of ICT skills. More specifically, watching performing art such as movies, musicals, affects the improvement of the integrated ICT skills, and creative hobbies such as cooking, painting, affect the ability to use video contents and e-commerce; shopping affects the improvement of communication and information searching with a digital device. These findings suggest that leisure activities could improve ICT skills for baby boom generation who are familiar with face to face communication.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.155-178
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• 2010

Assessment of information credibility is a ubiquitous human activity given that people constantly make decisions and selections based on the value of information in a variety of information seeking and use contexts. Today, people are increasingly engaging in diverse online activities beyond searching for and reading information, including activities such as creating, tagging and rating content, shopping, and listening to and watching multimedia content. The Web 2.0 environment presents new challenges for people because the burden of information evaluation is shifted from professional gatekeepers to individual information consumers. At the same time, however, it also provides unprecedented opportunities for people to use tools and features that help them to make informed credibility judgments by relying on other people's ratings and recommendations. This paper introduces fundamental notions and dimensions of credibility, and contends that credibility assessment can be best understood with respect to human information behavior because it encompasses both the level of effort people exert as well as the heuristics they employ to evaluate information. The paper reports on a survey study investigating people's credibility judgments with respect to online information, focusing on the constructs, heuristics, and interactions involved in people's credibility assessment processes within the context of their everyday life information activities. Using an online activity diary method, empirical data about people's online activities and their associated credibility assessments were collected at multiple points throughout the day for three days. The results indicate that distinct credibility assessment heuristics are emerging as people engage in diverse online activities involving more user-generated and multimedia content. A heuristic approach suggests that people apply mental shortcuts or rules of thumb in order to minimize the amount of cognitive effort and time required to make credibility judgments. The paper discusses why a heuristic approach is key to reaching a more comprehensive understanding of people's credibility assessments within the information-abundant online environment.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.6 no.5
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• pp.9-20
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• 2003

The purpose of this study is to construct a database for landscape ecological planning with evaluation and analysis of structure of biotope of city center area for the preservation of species and biotope examining Jung-gu district of Daegu Metropolitan City which is the most extremely and rapidly urbanizing area. The assumption of this study is that the biotope structure of a city center area would be different from the other city area. The results of this study were as follows. 1) The results of the biotope type classification is that there were 11 biotope type groups and 41 detailed biotopes. 2) The primary evaluation is the process for grading general value of classified biotope types, and the result of primary evaluation is that there were 5 biotope types that were greater than third grade besides the biotope type of artificial riverbank with abundant green high water level land. The first grade of biotope type have not appeared in this area, however the fifth grade of biotope type have appeared total of 19 biotope types with the biotope type of the general shopping area with scarce green fields. 3) The secondary evaluation is the process for searching biotopes which are special value, and the result of secondary evaluation is that there were 2 biotopes for la, 7 biotopes for 1b, 2 biotopes for 2a, 1 biotope for 2b and there was no biotope for 2c, and for example, la is the large area that has many magor biotope site in terms of the living space. 4) Finally. scientific method for biotope type classification, the derailed investigation plan of high value biotope and the improvement plan based on the biotope map of city center area must be continued.

• Journal of Digital Contents Society
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• v.15 no.6
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• pp.711-719
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• 2014

Along with the advent of ubiquitous computing environment, it is becoming a part of our common life style that the demands for enjoying the wireless internet using intelligent portable device such as smart phone and iPad, are increasing anytime or anyplace without any restriction of time and place. The recommending service becomes a very important technology which can find exact information to present users, then is easy for customers to reduce their searching effort to find out the items with high purchasability in e-commerce. Traditional mining association rule ignores the difference among the transactions. In order to do that, it is considered the importance of type of merchandise or service and then, we suggest a new recommending service using mining sequential pattern based on weight to reflect frequently changing trends of purchase pattern as time goes by and as often as customers need different merchandises on e-commerce being extremely diverse. To verify improved better performance of proposing system than the previous systems, we carry out the experiments in the same dataset collected in a cosmetic internet shopping mall.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.45-54
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• 2008

As mobile Web technology becomes more increasingly applicable. the mobile contents market. especially the music downloading for mobile phones, has recorded remarkable growth. In spite of this rapid growth, customers experience high levels of frustration in the process of searching for desired music contents. It affects to a re-purchasing rate of customers and also. music mubile content providers experience a decrease in the benefit. Therefore, in aspects of a customer relationship management (CRM), a new way to increase a benefit by providing a convenient shopping environment to mobile customers is necessary. As an solution for this situation, we propose a new music recommender system to enhance the customers' search efficiency by combining collaborative filtering with mobile web mining and ordinal scale based customer preferences. Some experiments are also performed to verify that our proposed system is more effective than the current recommender systems in the mobile Web.

• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.51-56
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• 2020

In this paper, we developed a mobile new media solution that enables e-commerce shopping mall operators, band operators, and YouTube creators to create synergies in online and offline promotion by posting related video contents on the media in addition to their own videos. By providing videos in the field of the platform without directly searching for them, it is possible to provide users with a new type of marketing means that can promote their platform while providing interest and information. Prospective creators at home and abroad who produce video can upload their own video in addition to YouTube and afreeca TV, such as the open market for video, and use independent and free charging systems to manage independent customer relationship management(CRM), self-branding, and content management. It will be possible to utilize mobile-based new media equipped with a system.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.10
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• pp.1-9
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• 2018

The purpose of this exploratory study is to identify the mobile phone applications (apps) used by foreign tourists visiting South Korea through a pilot study using focus groups and individual interviews. Concentrating on tourist mobile app use in a smart tourism environment and categorized through a taxonomy of mobile applications lays the framework and determines the factors boosting tourism smartphone app trends by foreign tourists visiting South Korea. Researchers collected data through ethnographic methods and analyzed it through qualitative research to uncover major themes within the smart tourism app use phenomenon. The researchers coded, counted, analyzed, and then divided the findings gleaned from a pilot study and interviews into a taxonomy of seven logical smartphone app categories. The labeling and coding of all the data accounting for similarities and differences can be recognized and are logically discussed in the implications of the apps used by tourists to assist tourist destinations. More specifically these findings will assist smart tourism destinations by better understanding foreign tourist smartphone app use behavior. Tourists visiting South Korea interviewed in this study exhibited significant mastery of Internet of Things (IoT) technologies, craved free WiFi access, and utilized smartphone apps for all facets of their travel. Findings show major concentrations of app use in bookings of accommodations, tourist attractions, online shopping, navigation, wayfinding, augmented reality, information searching, language translation, gaming, and online dating while traveling in South Korea.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.127-141
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• 2017

Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.