• Journal of the Korea Society of Computer and Information
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• v.25 no.2
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• pp.49-58
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• 2020

In this study, we solve an online multi-object problem which finds object states (i.e. locations and sizes) while conserving their identifications in online-provided images and detections. We handle this problem based on a tracking-by-detection approach by linking (or associating) detections between frames. For more accurate online association, we propose novel online appearance learning with discrete fourier transform and partial least square analysis (PLS). We first transform each object image into a Fourier image in order to extract meaningful features on a frequency domain. We then learn PLS subspaces which can discriminate frequency features of different objects. In addition, we incorporate the proposed appearance learning into the recent confidence-based association method, and extensively compare our methods with the state-of-the-art methods on MOT benchmark challenge datasets.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.571-578
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• 2021

This study compares Online SW-based maker education in terms of self-efficacy, learning motivation, and interest after applying differently according to blended learning strategies. First, a SW maker program for blended learning was developed and applied as a live seminar-type class including real-time interactive and a support-providing class consisting of online content and Q&A. As a result of comparing the differences between students according to the two strategies divided into pre- and post- survey, in the self-efficacy part, there was a significant difference in the positive efficacy and the overall part, and in the learning motivation part, the live seminar form was significantly higher in the confidence part. In the interest part, the support-providing form showed a significantly higher average in the instrumental interest and nervous part. In order to maintain the effect of maker activities like existing face-to-face situations in Online learning, it is necessary to increase sharing time between students, an integrated learning environment, and sufficient provision of exploration time and learning materials.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.257-263
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• 2021

This study analyzed the factors affecting online class satisfaction and tried to use it as basic data for more effective class management. The survey was collected on 208 students majoring in dental laboratory technology in Jeonbuk and Chungbuk. The data were analyzed by reliability analysis, descriptive stastistics, compare means(t-test, one-way ANOVA), Pearson's correlation coefficient and stepwies multiple regression analysis(SPSS program). The analysis results showed that expected benefit of time was 3.87, expected benefit of learning was 3.30, technology familiarity was 3.40, and class satisfaction was 3.21. The most influential factor in class satisfaction was technology familiarity. In order to increase the online class satisfaction, it is necessary to build a learning environment to improve the ability to learning tools used in classes and technology familiarity with the online class system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.35-37
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• 2022

Online video conferencing systems such as Zoom and Discord are mainly used for non-face-to-face work due to their good accessibility and lack restriction of space. However, most online video conferencing systems are difficult to interact in both directions, and problems such as difficulty in communication and lack of immersion are emerging in participants who use them. On the other hand, Metaverse, which has attracted attention with the development of spatial computing, enables smooth interaction like the real world in the three-dimensional virtual world by utilizing hearing, visual, and touch information. In this paper, we propose a method of utilizing the metaverse platform to improve the problem of lack of immersion in the existing online video conferencing system. Through the proposal method, platform users can share and check each other's work screens in a virtual space and exchange various data. In order to improve participants' of immersion, the environment and improvement plan of the metaverse platform were constructed and compared with the existing online video conferencing platform.

• Information Systems Review
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• v.25 no.4
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• pp.67-87
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• 2023

Many online shopping sites now offer personalized recommendation systems to improve consumers' shopping experiences by lowering costs (time, cost, etc.), catering to consumers' tastes, and stimulating consumers' potential shopping needs. So far, domestic and foreign research on the personalized recommendation system has mainly focused on the field of computer science, which is advantageous for obtaining accurate personalized recommendation results for users but difficult to continuously track the users' psychological states or behavioral intentions. This study attempted to investigate the effect of the characteristics of the personalized recommendation system in the online shopping environment on consumer perception and purchase intention for consumers using the Stimulus-Organism-Response (S-O-R) model. The analysis results adopted all hypotheses on the effect of the quality of the personalized recommendation system and information quality on trust and perceived value. Through the empirical results of this study, the factors influencing consumers' use of personalized recommendation system can be identified. In order to increase more purchase, online shopping companies need to understand consumers' tastes and improve the quality of the personalized system by improving the recommendation algorithm thus to provide more information about products.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.257-266
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• 2024

This study explored the determinants that influence purchase intention in online shopping based on augmented reality applications. The main results are discussed focusing on hypotheses as follows. First, interactivity had a positive effect on psychological ownership. Second, interactivity had a positive effect on decision comfort. Third, psychological ownership had a positive effect on decision comfort. Fourth, psychological ownership had a positive effect on purchase intention. Fifth, decision comfort had a positive effect on purchase intention. Therefore, in online shopping based on augmented reality applications, interaction determines psychological ownership and decision comfort, and psychological ownership and decision comfort can be evaluated as key factors that promote product purchase intention in online shopping. In order to increase purchase intention in online shopping, a marketing strategy is required to increase interactivity, psychological ownership, and decision comfort through augmented reality applications.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.19-41
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• 2016

Recently, the proliferation of mobile devices such as smartphones and tablet personal computers and the development of information communication technologies (ICT) have led to a big trend of a shift from single-channel shopping to multi-channel shopping. With the emergence of a "smart" group of consumers who want to shop in more reasonable and convenient ways, the boundaries apparently dividing online and offline shopping have collapsed and blurred more than ever before. Thus, there is now fierce competition between online and offline channels. Ever since the emergence of online shopping, a major type of multi-channel shopping has been "showrooming," where consumers visit offline stores to examine products before buying them online. However, because of the growing use of smart devices and the counterattack of offline retailers represented by omni-channel marketing strategies, one of the latest huge trends of shopping is "webrooming," where consumers visit online stores to examine products before buying them offline. This has become a threat to online retailers. In this situation, although it is very important to examine the influencing factors for switching from online shopping to webrooming, most prior studies have mainly focused on a single- or multi-channel shopping pattern. Therefore, this study thoroughly investigated the influencing factors on customers switching from online shopping to webrooming in terms of both the "search" and "purchase" processes through the application of a push-pull-mooring (PPM) framework. In order to test the research model, 280 individual samples were gathered from undergraduate and graduate students who had actual experience with webrooming. The results of the structural equation model (SEM) test revealed that the "pull" effect is strongest on the webrooming intention rather than the "push" or "mooring" effects. This proves a significant relationship between "attractiveness of webrooming" and "webrooming intention." In addition, the results showed that both the "perceived risk of online search" and "perceived risk of online purchase" significantly affect "distrust of online shopping." Similarly, both "perceived benefit of multi-channel search" and "perceived benefit of offline purchase" were found to have significant effects on "attractiveness of webrooming" were also found. Furthermore, the results indicated that "online purchase habit" is the only influencing factor that leads to "online shopping lock-in." The theoretical implications of the study are as follows. First, by examining the multi-channel shopping phenomenon from the perspective of "shopping switching" from online shopping to webrooming, this study complements the limits of the "channel switching" perspective, represented by multi-channel freeriding studies that merely focused on customers' channel switching behaviors from one to another. While extant studies with a channel switching perspective have focused on only one type of multi-channel shopping, where consumers just move from one particular channel to different channels, a study with a shopping switching perspective has the advantage of comprehensively investigating how consumers choose and navigate among diverse types of single- or multi-channel shopping alternatives. In this study, only limited shopping switching behavior from online shopping to webrooming was examined; however, the results should explain various phenomena in a more comprehensive manner from the perspective of shopping switching. Second, this study extends the scope of application of the push-pull-mooring framework, which is quite commonly used in marketing research to explain consumers' product switching behaviors. Through the application of this framework, it is hoped that more diverse shopping switching behaviors can be examined in future research. This study can serve a stepping stone for future studies. One of the most important practical implications of the study is that it may help single- and multi-channel retailers develop more specific customer strategies by revealing the influencing factors of webrooming intention from online shopping. For example, online single-channel retailers can ease the distrust of online shopping to prevent consumers from churning by reducing the perceived risk in terms of online search and purchase. On the other hand, offline retailers can develop specific strategies to increase the attractiveness of webrooming by letting customers perceive the benefits of multi-channel search or offline purchase. Although this study focused only on customers switching from online shopping to webrooming, the results can be expanded to various types of shopping switching behaviors embedded in single- and multi-channel shopping environments, such as showrooming and mobile shopping.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.26 no.4
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• pp.263-282
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• 2015

Online education in the field of LIS has continued to spread out in university curricula or with collaborative online programs through consortia among universities. Unlike the traditional online education, however, MOOCs (Massive Open Online Courses) with the recent advent and advances have risen as a new paradigm in education of the future in that these are massive online learner-centered courses, free and open to any person with no limit on enrollment. With no exception to this phenomenon, the LIS field centered by overseas iSchool universities has been offering MOOCs for core LIS courses. This research conducted a case study of utilizing a part of overseas LIS MOOCs in a core LIS course at domestic University-A, in order to explore the potential for utilizing overseas MOOCs in LIS education. The results of conducting a survey and a focus group interview to students discovered that MOOCs content was interesting and useful and many of them were willing to take other MOOCs in the future, despite some language barriers. Based on these findings, this study suggested the need for establishing educational value, administering methods, ways to motivate students, and designing MOOCs by incorporating the characteristics of the LIS field, as ways to utilize MOOCs in LIS education.

• Informatization Policy
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• v.18 no.2
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• pp.3-22
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• 2011

The study of online social movements is basically concerned about the impact of the Internet on the existing social movements. More specifically, researchers have paid attention to changes in participants, leadership style and movement strategies caused by the Internet. Due to the Internet, networks of the individuals who are geographically scattered or a network of networks have emerged as new movement agents. Researchers have also analyzed a repertoire of collective action adopted by the online social movements. The increase in online social movements calls for a new interpretation of the existing social movement theories such as resource mobilization, collective identity and political opportunity structure. There are still a lot of debate about the impact of the internet on social movement and the resulting changes. Not only the early debate of cyber-optimism and cyber-scepticism, many studies done by the mid-range perspective also suggested different arguments on the impact of the Internet. This discrepancy comes from a relatively short history of online social movement study, which leads to a limited number of case studies and a shortage of date accumulations. In the future, researchers need to place more attention on the unique characteristics of different technologies and comparative studies of online social movements. The study should also extend its focus to a wide range of political systems in order to explain the impact of online social movements on political intermediary organizations and the democracy itself.

• The Journal of Information Systems
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• v.25 no.2
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• pp.79-110
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• 2016

Purpose Online Peer-to-peer lending (hereafter P2P lending), is a new method of lending money to unrelated individuals through an online financial intermediary. Usually in the online P2P transaction, individuals who would like to borrow money (hereafter borrowers) and those who would like to lend money (hereafter lenders) have no previous relationship. Based on enormous previous studies, this study develops an integrated model, particularly for the online P2P lending environment in China, to better understand the critical factors that influence lenders' intention to lend money through the online P2P lending platform. Design/methodology/approach In order to verify the hypotheses, we develop a questionnaire with 42 survey items. We measured all the items on a five-point Likert-type scale. We use Sojump.com to collect questionnaire and gather 246 valid responses from registered members of Renrendai.com. We analyzed the main survey data by using SPSS 18.0 and AMOS 20.0. We first estimated the reliability, validity, composite reliability and AVE and then conduct common method bias test. The mediating role of trust in platform and in borrower has been tested. Last we tested the hypotheses through the structural model. Findings The results reveal that service quality, information quality, structural assurance, awareness and reputation significantly impact lenders' trust in the online P2P lending platform. Second, awareness, reputation and perceived risk significantly impact lenders' trust in borrower and lending intention. Third, trust propensity has a positive effect on lenders' trust on borrower. Last, awareness, reputation, perceived risk, platform trust and borrower trust can directly impact lenders' lending intention.