• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.6
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• pp.1619-1637
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• 2016

With wide distribution of smart phones and development of mobile network, social network service (SNS) is displaying remarkable growth rates. Users build new social relations by sharing their interests, which brings surging growth to the SNS based on the combination between the strength of expanding the place for communication and distribution of smart phones featured with easy portability. This study is designed to understand impact factors of SNS on users in Korea and to conduct empirical research on casual relationship between the factors above and the factors affecting personal information behavior through the privacy protection and self-efficacy. In order to accomplish the objective above, the study presented a research model applied with key variables of the Health Belief Model (HBM) predicting behaviors capable of recognizing and preventing individual diseases in the field of health communication. To perform empirical verification on the research model of this study, a survey was conducted upon college students at N university located in Chungcheongnam-do and K university in rural area, who have experiences using the SNS. Through this survey, a total of 186 samples were collected, and path analysis was performed in order to analyze the relationship between the factors. Based on the findings from the survey, first, variables Perceived probability, Perceived severity, Perceived impairment of the HBM, key factors of personal information protection behavior on the SNS, were found to exhibit negative relationship with self-efficacy, and Perceived probability, Perceived benefit, Perceived impairment were found to exhibit negative relationship with privacy protection. But the above, Perceived severity showed positive relationship with privacy protection, and Perceived benefit and self-efficacy also displayed positive relationship. Second, although self-efficacy, a parameter, showed positive relationship with privacy protection, it demonstrated negative relationship with personal information protection behavior. Lastly, privacy protection exhibited positive relationship with personal information protection behavior. By presenting theoretical model reflected with characteristics of prevention based on these findings above unlike previous studies on personal information protection using technologies threatening personal information, this study is to provide theoretical and operational foundation capable of offering explanations how to predict personal information protection behavior on the SNS in the future.

• Convergence Security Journal
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• v.22 no.5
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• pp.11-20
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• 2022

As the Internet and web technology develop around mobile devices, image data contains various types of sensitive information such as people, text, and space. In addition to these characteristics, as the use of SNS increases, the amount of damage caused by exposure and abuse of personal information online is increasing. However, research on de-identification technology based on multi-type object detection for personal information protection is insufficient. Therefore, this paper proposes an artificial intelligence model that detects and de-identifies multiple types of objects using existing single-type object detection models in parallel. Through cutmix, an image in which person and text objects exist together are created and composed of training data, and detection and de-identification of objects with different characteristics of person and text was performed. The proposed model achieves a precision of 0.724 and mAP@.5 of 0.745 when two objects are present at the same time. In addition, after de-identification, mAP@.5 was 0.224 for all objects, showing a decrease of 0.4 or more.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.2
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• pp.199-209
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• 2019

With the rapid development of mobile communication tools, customers are using SNS as a major information tool. SNS can provide information to a small number of customers as well as people around them, with information about a product or service that a small number of customers know through experience. With these characteristics, dessert cafes are being used as a major marketing tool for online websites and mobile phones using SNS. Therefore, in this study, theoretical considerations about e-WOM quality, perceived value, and visit intention were performed. The effect of e-WOM quality of dessert cafe on perceived value was analyzed and the effect of perceived value on visit intention was analyzed. Based on these results, I would like to suggest theoretical implications and practical implications for online marketing of dessert cafes. This study was conducted to survey the customers who have visited dessert cafe through oral communication within the last 6 months. The survey was conducted from September 4, 2018 to September 18, 2018, and was used for the analysis of 317 additional items. The research hypotheses between the e-WOM quality of the dessert cafe and the utilitarian value, hedonic value, and visiting intention were used the structural equation model(SEM). First, neutrality and interactivity have a significant effect on utilitarian value, but consensus and vividness have not significant effect. Second, It was found that the consensus, vividness, and neutrality had a significant effect on the hedonic value but interactivity was not found to have a significant effect. Third, hedonic value has a significant effect on visit intention, but utilitarian value has not significant effect. As a result, online e-WOM quality management is important.

• Journal of Biomedical Engineering Research
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• v.34 no.1
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• pp.1-7
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• 2013

According to the frequent use of mobile devices, risk of repetitive strain injury for the finger joints was increasing recently. The purpose of this study was to investigate the difference of muscular endurance limit of the thumb between adults and children. A total of thirty subjects (15 adults: $41.0{\pm}7.9$ years and 15 children: $9.5{\pm}2.7$ years) was recruited for this experiment. Maximum voluntary contraction (MVC) of the thumb was measured for 100 trials for each subject by using a push-pull gauge. From the maximum peak value obtained, three main factors (MVC, endurance limit, and fatigue index) were defined to quantify fatigue characteristics of the thumb flexor muscle. The experimental results showed that the mean of MVC, endurance limit, and fatigue index of the children were approximately 50% compared to the adults (p < 0.001). From the results of Pearson correlation test, the endurance limit was highly correlated with weight, age, hand length rather than height. Based on this study, children are more vulnerable to repetitive task using the thumb such as text/SNS messaging, gaming, and scrolling.

• The Journal of the Korea Contents Association
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• v.15 no.5
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• pp.36-46
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• 2015

The purpose of this study is to investigate the characteristics of diverse contents service of EBS providing on the multi-platform in the era of smart media. This study investigated contents service of EBS in order to seek and suggest EBS's competitiveness in the era of smart media environment. As a result, EBS is providing real-time service, VOD and e-learning, but its current contents service is concentrated on providing e-learning service. This study recommended that EBS need to reinforce contents suitable for various multi-platform uses. It also suggested EBS need to cooperate with diverse webs service and SNS service in order to widen openness of its platform, and to provide not only diverse contents, but also applications by offering mobile and on-demand contents and services. Finally, this study proposed that EBS is needed to move towards a more public and comprehensive media portal.

• Journal of the Korean Society of Costume
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• v.64 no.1
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• pp.136-151
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• 2014

This study systematically analyzed types of fashion brand application focusing on accounts created in Korea. While referring to 'Chanel' which has developed a fashion brand app for the first time in August of 2008, not only for App store by Apple Inc. of the greatest market share but also for Android market, the one and only competitor of App store, the study examined cases of fashion brand app in Korea and foreign countries which have been in service till August of 2013 since the year of 2008. To achieve the research goal, the study conducted a literature research and a case review, categorizing the app by their distinctive functions which were Basic Information, SNS, AR, LBS, Entertainment, Mobile Shopping and Live Streaming. As for the first function, Basic Information, it was considered to provide information on a brand such as prices, sizes and colors of products which should be the most fundamental function of a fashion brand. The function would include look book, catalogues, photographs and others of products, helping users of the app with their understanding on images and concepts of the brand. Second, SNS function was considered useful for its mobility and communication and with the help of theirs, the users share fashion information with each other. Third, AR function as in a filed of virtual reality would edit virtual objects to look real in an actual environment. This would eventually offer the users a chance to try for clothes virtually. The fourth function, LBS, would work with GPS to find a store closest from a present location. This would be a help when the users try to find stores holding promotion events or trails while hiking in mountains. The fifth Entertainment function would include all sorts of games and chances for the users to listen to music and keep fashion diaries. The sixth function, Mobile Shopping, would help the users purchase items online via the app as they would not visit a store in person. The seventh function, Live Streaming, would give the users chances to actually see fashion collections in real time, held all over the world in every season. Because of this function, not only fashion experts but also regular people have become able to enjoy the fashion shows. The distinctive characteristics of the fashion brand application discussed in the study will be a useful reference when any relevant fields try to design other new fashion brand application.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.10
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• pp.447-454
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• 2015

This paper proposes geographical name denoising by machine learning of event detection based on twitter. Recently, the increasing number of smart phone users are leading the growing user of SNS. Especially, the functions of short message (less than 140 words) and follow service make twitter has the power of conveying and diffusing the information more quickly. These characteristics and mobile optimised feature make twitter has fast information conveying speed, which can play a role of conveying disasters or events. Related research used the individuals of twitter user as the sensor of event detection to detect events that occur in reality. This research employed geographical name as the keyword by using the characteristic that an event occurs in a specific place. However, it ignored the denoising of relationship between geographical name and homograph, it became an important factor to lower the accuracy of event detection. In this paper, we used removing and forecasting, these two method to applied denoising technique. First after processing the filtering step by using noise related database building, we have determined the existence of geographical name by using the Naive Bayesian classification. Finally by using the experimental data, we earned the probability value of machine learning. On the basis of forecast technique which is proposed in this paper, the reliability of the need for denoising technique has turned out to be 89.6%.

• Review of Culture and Economy
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• v.17 no.2
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• pp.161-184
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• 2014

The dramatic rise of experience space using cultural heritage in modern architecture has been generally acknowledged in recent literature. The present study aims to investigate effective ways to enhance competitiveness in local experience space, with an emphasis on the use of cultural heritage in modern architecture. Using the case of the Sam-Rae Arts Village in Wanju-gun, Jeollabuk, this study analyzes the characteristics of the 4Es in experience economy theory. In order to arrive at findings that represent the variety of perspectives found in this context, qualitative interviews were conducted with three groups: public officials, maintenance staff in the experience center, and field experts. The results of this study revealed that the Visual Media Art Museum and Book Wooks were used for entertainment, the Corpentry Shop for education, the Book Museum for escapism, and the Design Museum Culture $Caf{\acute{e}}$ The O's for aestheticism. Additionally, depending on the commercial potential of the respective experience space, the Corpentry Shop, Book Wooks, and the Culture $Caf{\acute{e}}$ The O's were used for profit purposes while the Design Museum and the Visual Media Art Museum for non-profit. Based on the findings of the present study, effective ways to enhance competitiveness in the local experience space are suggested. First, the public nature of cultural enjoyment may be realized in a field that bears non-profit characteristics. In exhibiting works, the experience space could suggest the extra demonstration. Second, in the for-profit experience hall, the securing of tourists may help to maximize profit. In so doing, a variety of experience programs and activity spaces could be provided internally, while advertisement marketing through mobile and SNS could be reinforced externally.

• Information Systems Review
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• v.14 no.1
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• pp.21-35
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• 2012

The rapid growth and popularity of Twitter have been one of the most influential phenomena in the era of social network system and the mobile internet, which also opens up opportunities for new business strategies; in particular, PR and marketing area. This study analyzed use of Twitter in terms of user characteristics and message attributes. Actual field data from the Twitter for PR and Marketing of a representative Korean IT company (Company "K") was used for this analysis. Research findings show that overall corporate twitter users show passive attitude in retweet behavior. Also, users who have relatively small network size (less than 1,000) are more active in retweet than power twitterians that have big network size(over than 10,000). It is showed that the rate of retweet is higher in the order of recruiting, promotional event, IT information, and general PR message. In the conclusion section, practical implications based on the research finding are thoroughly discussed.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.313-321
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• 2014

In current society, the digital era that makes enormous amount of data, and the diversified city, the smart space, which has characteristics of creating, collecting and representing data, is appeared. After 2012, in the social media environment called hyper-connected society with wide-spread smart phone, people started to get interested in public data and big data by generalized mobile device and SNS. At first, development of forming platform of data was focused, but now, many different idea from diverse area have been suggested about data analysis and usage to visualize the space intellectualization service. To focus on the visualization process to increase the usage of this public data for ordinary people more than specialized people, this research grasps the present condition of open data and public data service from the current public data portal and considers the applicability of them. As the result of research, the analysis and application of data to ordinary people decrease the use of paper documents, and this research will help to develop the application which is fast and accurate about individual behavior and demand to utilize public data service in intellectual space.