• Journal of Korea Society of Industrial Information Systems
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• v.28 no.2
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• pp.77-94
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• 2023

This study aims to determine the factors that affect learning satisfaction and continuous use intention in metaverse-based non-face-to-face classes. Therefore, a hypothesis was established based on the technology acceptance model and information system success model, and a survey was conducted from November 22, 2021 to January 03, 2022 for students who had class experience using Gather.town-a metaverse platform. PLS Structural Equation was conducted on 122 copies, excluding the questionnaires with insincere responses. The results reveal that "all platform quality" factors influenced "easiness," "content quality" influenced "usefulness," "easiness" influenced "usefulness," "easiness" and "usefulness" influenced "learning satisfaction," "usefulness" and "learning satisfaction" had a positive effect on "continuous use intention." This study is significant because it empirically analyzes the variables that affect learning satisfaction and continuous use intention in metaverse-based non-face-to-face classes. In follow-up studies, additional research is required on the variables that affect learning satisfaction and continuous use intention targeting various metaverse-based platforms, including Gather.town.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.245-251
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• 2022

This study attempted to examine the effect of virtual influencer, which is highly interested in consumers, and has recently been increasing the frequency of use in corporate marketing activities. In particular, the purpose is to examine the effect of the attributes of virtual influencer on consumers as an information source for a product or brand. To this end, the effect of perceived attractiveness, trustworthiness, and expertise of virtual influencer on SNS usage intention and imitation intention consumers was examined. As a result of the study, it was found that attractiveness among the attributes of virtual influencer had a positive effect on the usage intention, and attractiveness and trustworthiness had a positive effect on imitation intention. In addition, it was found that imitation intention had a positive effect on usage intention. In other words, the perceived attractiveness of virtual influencer by consumers through SNS is the most important attribute. These findings imply that when virtual influencer is used in marketing, companies must perceive the attractiveness of virtual influencer through content posted on SNS as well as their attributes as information sources. We expect the results of this study to provide major implications for marketing activities such as companies and public institutions that consider using virtual influencer.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.197-216
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• 2022

With the development of Internet and mobile technology and the spread of social media, a large amount of information is being generated and distributed online. Some of them are useful information for the public, but others are misleading information. The misleading information, so-called 'fake news', has been causing great harm to our society in recent years. Since the global spread of COVID-19 in 2020, much of fake news has been distributed online. Unlike other fake news, fake news related to COVID-19 can threaten people's health and even their lives. Therefore, intelligent technology that automatically detects and prevents fake news related to COVID-19 is a meaningful research topic to improve social health. Fake news related to COVID-19 has spread rapidly through social media, however, there have been few studies in Korea that proposed intelligent fake news detection using the information about how the fake news spreads through social media. Under this background, we propose a novel model that uses Graph2vec, one of the graph embedding methods, to effectively detect fake news related to COVID-19. The mainstream approaches of fake news detection have focused on news content, i.e., characteristics of the text, but the proposed model in this study can exploit information transmission relationships in social engagement networks when detecting fake news related to COVID-19. Experiments using a real-world data set have shown that our proposed model outperforms traditional models from the perspectives of prediction accuracy.

• Journal of Popular Narrative
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• v.25 no.4
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• pp.73-108
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• 2019

This paper is an attempt to discuss the history and the current state of 'SF theaters.' SF theater is still an unfamiliar genre to the public, and may surprise some, given that the stage is perceived as an insufficient space for stretching the scientific imagination. Since 2010 works that bring the scientific imagination into the theater have frequently been performed, and a recognition of SF theaters began to be established. Producers came to be absorbed in human psychology, and our isolation amidst the progress in technology, as well as in the absurdities of the world, while giving up the ideal of realistic descriptions. This became the foundation for SF theaters in South Korea today. Starting from the research history and the conceptual change in SF theaters, this study examined the status of SF dramas going back to the colonial period for SF theaters. Through inquiring into the history of SF theaters, we were able to derive the following implications and problems. Firstly, as they are based on future society or technical improvement without consideration of scientific probability or rationality, the scientific imagination is too absent for the work to be named 'SF theater.' Secondly, while being highly evaluated as an attempt to integrate science and stage in an era that emphasizes convergence, when we delve into the creativity of a material it is noticeable that the view of the world is still regressive. Thirdly, there are many cases in which scripts lean on SF classics or Japanese original works. Nevertheless, if young creators' diverse attempts in a genre can breathe with the contemporary audience desiring a new material, the foundation of a Korean-style SF theater may be expanded to include more significant work.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.6
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• pp.835-844
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• 2018

Recently, as the number of smartphone users has been increasing worldwide, various services such as electronic payment, internet use, and financial settlement are being used as a smartphone. In addition, researches for home appliance control and automobile control using smartphone are conducted. As such, smartphone users can enjoy a more convenient life, but by hacking smartphones, tapping texts and conversations on smartphones, tracking location through spy apps, DDoS attacks using smartphones, and malicious apps When a message is received at a specific telephone number when using a micropayment, the corresponding text message is transmitted to a remote server, thereby increasing the risk of leakage of personal information and the like. Therefore, in this paper, we define the risk factors of the smartphone that are caused by the internal and external environmental, physical, contents (apps) of the smartphone through the smartphone that we use in real life, We propose a method to check vulnerability of smartphone security solution such as CC evaluation and the most effective response technique for each risk of smartphone by defining the technique.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.731-736
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• 2023

Recently, the medical field has been applying mandatory Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) systems that computerize and manage medical records, and distributing them throughout the entire medical industry to utilize patients' past medical records for additional medical procedures. However, the conversations between medical professionals and patients that occur during general medical consultations and counseling sessions are not separately recorded or stored, so additional important patient information cannot be efficiently utilized. Therefore, we propose an electronic medical record system that uses speech recognition and natural language processing deep learning to store conversations between medical professionals and patients in text form, automatically extracts and summarizes important medical consultation information, and generates electronic medical records. The system acquires text information through the recognition process of medical professionals and patients' medical consultation content. The acquired text is then divided into multiple sentences, and the importance of multiple keywords included in the generated sentences is calculated. Based on the calculated importance, the system ranks multiple sentences and summarizes them to create the final electronic medical record data. The proposed system's performance is verified to be excellent through quantitative analysis.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.493-502
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• 2023

The development of online content is changing the value of society very diversely and rapidly. In particular, the non-face-to-face e-sports industry is growing significantly in the current situation where the COVID-19 Pandemic has not been completely overcome. The use of NFT in the eSports industry is receiving positive reviews as a field with high potential for future growth that protects digital assets of eSports users, but at the same time, it is raising concerns that cash transactions of digital items could encourage gambling. In this study, the characteristics of the recent eSports industry and NFT were identified and classified through case studies using literature, official sites, and online news articles. Through various cases of eSports and NFT, we discussed the potential for future growth and activation plan of the NFT industry of eSports. The result is as follows. First, it is necessary to use NFT using IP of eSports event itself. Second, it is necessary to combine the functional role of the item with NFT to provide features that users can utilize. Third, it is necessary to provide users with opportunities to engage in economic activities using eSports and NFT. Finally, it is necessary to use NFT to strengthen the digital asset protection of eSports users. Through this study, it is expected to be used as a basis for further discussions on the NFT industry of e-sports and as a material for securing competitiveness.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.569-577
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• 2023

This study selected seven carbon-neutral villages, considering the characteristics of each region, including all five administrative districts of Changwon City, and proposed activation plans based on business evaluations through surveys of local residents and FGIs with leaders. The analysis showed that carbon-neutral education was the most important factor for activating carbon-neutral villages, with a response rate of 91.9% for 17 multiple-choice questions, followed by legal (ordinance) arrangements at 79.3% and village organization building at 74.1%. Based on this, the following activation plans through the participation of residents who are involved in the project of creating a carbon-neutral village in Changwon City were proposed. First, the characteristics of each carbon-neutral village model were classified into a resource circulation-based model, an environmental creation-based model, an environmental education and experience event-based model, and an energy efficiency-based model. Second, it is necessary to create and present carbon-neutral village growth stage guidelines for the growth of carbon-neutral villages. Third, manuals and teaching materials related to carbon neutrality, such as theories, issues, and practices, need to be produced and distributed for leaders and activists to easily apply and access for self-government operation of the village. Finally, if a carbon-neutral support center that is legally installable in Changwon City is established, it is expected that the lives of local residents will become more sustainable for carbon-neutral living in preparation for climate crises.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.167-181
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• 2023

This study utilized TEXTOM, a social network analysis program to analyze changes in current tourism behavior after travel restrictions were eased after the outbreak of COVID-19. Data on the keywords 'domestic travel' and 'overseas travel' were collected from blogs, cafes, and news provided by Naver, Google, and Daum. The collection period was set from April to December 2022 when social distancing was lifted, and 2019 and 2020 were each set as one year and compared and analyzed with 2022. A total of 80 key words were extracted through text mining and centrality analysis was performed using NetDraw. Finally, through the CONCOR, the correlated keywords were clustered into 4. As a result of the study, tourism behavior in 2022 shows tourism recovery before the outbreak of COVID-19, segmentation of travel based on each person's preferred theme, prioritization of each country's corona mitigation policy, and then selecting a tourist destination. It is expected to provide basic data for the development of tourism marketing strategies and tourism products for the newly emerging tourism ecosystem after COVID-19.

• Journal of the Korea Knowledge Information Technology Society
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• v.12 no.1
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• pp.69-78
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• 2017

KOIN (Korean medicine 人, http://www.koin.re.kr) is a Korean medicine knowledge portal developed for users who are interested in Korean medicine to share relevant information. The purpose of the present study is to seek methods for advancing the quality of the contents and services of KOIN to secure future users of the portal services before fully initiating the KOIN service. The crowd testing method was applied to test the functionality and usability of the current KOIN service, and domestic and international websites providing similar services were investigated and analyzed. About 150 errors were found in this functional testing procedure, but the identified functional problems were all corrected. An average score of 3.33 was calculated in the usability test, in which the reliability and the playfulness showed the highest and lowest score, respectively. We in this paper surveyed the 15 relevant websites with respect to KOIN in the traditional medicine and the modern medicine fields. The strengths and weaknesses of similar websites were analyzed to improve the KOIN services. In particular, it is shown that the evidence-based Korean medicine knowledge is KOIN's biggest strength. Users' needs and demand for the KOIN services will be continuously gathered to provide the Korean medicine knowledge services that the users require.