• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.399-405
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• 2023

This study analyzed the cause of Corona Blue and tried to find out ways to improve the mental health of our society. The external activities decreased and the household economy got worse after COVID-19, so Corona Blue increased. The media use and the negative media information problems increased Corona Blue. The online activities had no effects. In order to relieve Corona Blue, it was suggested to increase the external activities personally, to make the social and economic conditions of women and the economic weaker better, to improve the quality of media disaster information, and for the media consumer to use the media properly.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.135-136
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• 2022

현재 코로나19로 장기화 되고 있는 사회적 거리두기로 인해 '코로나19'와 '우울감(blue)'의 합성어인 '코로나 블루(Corona Blue)'를 겪는 인구가 지속적으로 증가하고 있다. 이러한 코로나 블루를 극복하기 위한 실내 취미 생활로 반려 식물을 재배하는 인구가 증가하는 추세이다. 하지만 처음 반려 식물을 키우는 사람들은 급수량 조절에 어려움을 겪는다. 본 논문에서는 이러한 문제를 해결하기 위해 아두이노를 이용한 토양 온습도 측정기를 개발하였다. 또한 이와 연동하여 홈가드닝 최초로 토양의 온습도를 실시간으로 확인할 수 있는 모바일 애플리케이션인 '화분지기'를 개발하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.75-77
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• 2020

코로나19로 사회적 거리두기가 지속되면서 코로나 블루를 적절히 해소하는 방안 또한 새로운 사회적 무제로 대두되었다. 이에 본 연구는 전자출입명부 시스템을 활용하여 안전하게 지역을 관광할 수 있는 방안을 제시하였다. 구체적으로 QR코드에 기록된 정보를 바탕으로 지역별로 방문한 관광객의 숫자를 공유하여 지역별 방문인구를 파악할 수 있도록 하였다. 이를 통해 관광객은 밀집된 공간을 피하며 방역지침을 준수하면서도, 다양한 지역을 방문하며 코로나 블루를 해소할 수 있을 것이다.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.109-121
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• 2021

As the global COVID-19 pandemic is prolonged, the Corona Blue phenomenon, combined with COVID-19 and blue, is intensifying. The purpose of this study is to analyze the current trend of Corona Blue in consideration of the possibility of increasing mental illness and the need for countermeasures, especially after COVID-19. This study tried to find out the relationship between stress and leisure activities before and after COVID-19 by using Corona Blue news article analysis through the topic modeling method, and questionnaire find out the help of stress and leisure activities. This study was compared and analyzed using two research methods. First, a total of 363 news articles were analyzed through topic modeling based on newspaper articles from January 2020, when COVID- 19 was upgraded to the "border" stage, until September, where the social distancing stage was strengthened to stage 2.5 in Korea. As a result of the study, a total of 28 topics were extracted, and similar topics were grouped into 7 groups: mental-demic, generational spread, causes of depression acceleration, increased fatigue, attitude to coping with long-term wars, changes in consumption, and efforts to overcome depression. Second, the SPSS statistical program was used to analyze the level of stress change according to leisure activities before/after COVID-19 and the main help according to leisure activities. As a result of the study, it was confirmed that the average difference in stress reduction according to participation in leisure activities before COVID-19 was larger than after COVID-19. Also, leisure activities were found to be effective in stress relief even after COVID-19. In addition, if the main help from leisure activities before COVID-19 was the meaning of relaxation and recharging through physical and social activities. After COVID-19, psychological roles such as mood swings through nature, outdoor activities, or intellectual activities were found to play a large part. As such, in this study, it was confirmed that understanding the current status of Corona Blue and coping with leisure in extreme stress situations has a positive effect. It is expected that this research can serve as a basis for preparing realistic and desirable leisure policies and countermeasures to overcome Corona Blue.

• 한국벤처창업학회:학술대회논문집
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• 2020.11a
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• pp.33-37
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• 2020

최근 농업은 6차산업을 넘어 국민의 건강회복 및 유지증진을 도모하기 위하여 이용되는 다양한 농업·농촌자원의 활용과 이와 관련한 활동을 통해 사회적 또 는 경제적 부가가치를 창출하는 산업으로 치유농업을 들 수 있다. 현 코로나19로 인한 고립과 단절, 앞날을 예측하기 어려운 상황이 길어지면서 우울감을 느끼는 '코로나 블루(Blue)'를 넘어 우울과 불안 감정이 분노로 폭발하는 '코로나 레드(Red)'를 호소하는 이들마저 있다고 한다. 최근 한국건강증진개발원이 한국갤럽에 의뢰해 전국 만 성인 남녀대상으로 '코로나19로 인한 건강 상태'를 조사한 결과에 따르면 응답자의 40.7%가 코로나 블루를 "경험했다"고 답했는데 특히 여성(50.7%)의 경험 비율이 남성(34.2%)보다 높았다고 한다. 이에 따라 실내에서 반려동물이나 반려식물을 키우는 이가 급증하고 노년층은 실버 텃밭 정원프로그램을 통해 우울증이 크게 감소됐다. 이와 같이 치유농업은 자연친화적인 환경을 조성해 주고, 도시민의 농업에 대한 이해를 높이며 도시와 농촌이 상생하는데 이바지할 수 있기 때문에 지속적으로 발전시켜 나갈 필요가 있다. 본 연구에서는 치유농업시설의 이용의도를 가진 자를 대상으로 치유농업시설 선택속성에 주관적규범과 주도성향이 치유농업시설 이용의도에 미치는 영향을 살펴보고자 한다. 본 연구를 통해 치유농업시설을 이용하는 데에 있어 선택속성의 요소들에 대하여 파악하고 주관적규범과 주도성향에 따른 영향도 확인하여 치유농업시설 선택속성을 제공하고자 할 때 우선시해야 할 시사점을 파악하고자 한다.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.384-394
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• 2022

This study aimed to examine how COVID-19 affected life and health of welfare recipients by comparing groups associated with sex, living with children, and household type and suggest directions for welfare policy and services. Researchers collected a random sample of 500 recipients from 𐩒𐩒gu, Seoul who are registered in Haengbok E-eum, the social security information system and conducted a survey on overall life domains and physical and mental health. For data analysis, t-test, Anova and chi-square test were used. The results showed that factors of sex, living with children, and household type made significant differences in difficulties of employment status, child care, leisure and cultural activities and overall social activities. In terms of health status, mental health status and life satisfaction have been decreased after COVID-19. There were statistical differences in COVID blue and thinking about death among different groups. Based on these findings, this study suggested directions for welfare services for the future New Normal society.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.47-64
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• 2021

The global spread of COVID-19 around the world has not only affected many parts of our daily life but also has a huge impact on many areas, including the economy and society. As the number of confirmed cases and deaths increases, medical staff and the public are said to be experiencing psychological problems such as anxiety, depression, and stress. The collective tragedy that accompanies the epidemic raises fear and anxiety, which is known to cause enormous disruptions to the behavior and psychological well-being of many. Long-term negative emotions can reduce people's immunity and destroy their physical balance, so it is essential to understand the psychological state of COVID-19. This study suggests a method of monitoring medial news reflecting current days which requires striving not only for physical but also for psychological quarantine in the prolonged COVID-19 situation. Moreover, it is presented how an easier method of analyzing social media networks applies to those cases. The aim of this study is to assist health policymakers in fast and complex decision-making processes. News plays a major role in setting the policy agenda. Among various major media, news headlines are considered important in the field of communication science as a summary of the core content that the media wants to convey to the audiences who read it. News data used in this study was easily collected using "Bigkinds" that is created by integrating big data technology. With the collected news data, keywords were classified through text mining, and the relationship between words was visualized through semantic network analysis between keywords. Using the KrKwic program, a Korean semantic network analysis tool, text mining was performed and the frequency of words was calculated to easily identify keywords. The frequency of words appearing in keywords of articles related to COVID-19 emotions was checked and visualized in word cloud 'China', 'anxiety', 'situation', 'mind', 'social', and 'health' appeared high in relation to the emotions of COVID-19. In addition, UCINET, a specialized social network analysis program, was used to analyze connection centrality and cluster analysis, and a method of visualizing a graph using Net Draw was performed. As a result of analyzing the connection centrality between each data, it was found that the most central keywords in the keyword-centric network were 'psychology', 'COVID-19', 'blue', and 'anxiety'. The network of frequency of co-occurrence among the keywords appearing in the headlines of the news was visualized as a graph. The thickness of the line on the graph is proportional to the frequency of co-occurrence, and if the frequency of two words appearing at the same time is high, it is indicated by a thick line. It can be seen that the 'COVID-blue' pair is displayed in the boldest, and the 'COVID-emotion' and 'COVID-anxiety' pairs are displayed with a relatively thick line. 'Blue' related to COVID-19 is a word that means depression, and it was confirmed that COVID-19 and depression are keywords that should be of interest now. The research methodology used in this study has the convenience of being able to quickly measure social phenomena and changes while reducing costs. In this study, by analyzing news headlines, we were able to identify people's feelings and perceptions on issues related to COVID-19 depression, and identify the main agendas to be analyzed by deriving important keywords. By presenting and visualizing the subject and important keywords related to the COVID-19 emotion at a time, medical policy managers will be able to be provided a variety of perspectives when identifying and researching the regarding phenomenon. It is expected that it can help to use it as basic data for support, treatment and service development for psychological quarantine issues related to COVID-19.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.609-625
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• 2021

It has now been more than a year since the start of the COVID-19 pandemic in Korea, which has claimed thousands of lives and changed every aspect of life. The corona pandemic not only caused physical damages but also psychological one which is a collective social stress phenomenon often termed as 'corona blue'. The purpose of this study is to examine how empathy affects anxiety and depression through risk perception and indirect trauma, which are psychological variables related to the corona pandemic as a disaster. The survey data from 214 people were analyzed with a structural equation modelling. The results shows that 53.3 % of the participants experienced anxiety and 35.7% suffered from depression, which were about 6 times higher than ones from the 2019 government data. Affective empathy had a significant effect on risk perception, and cognitive empathy had a significant effect on indirect trauma. Risk perception and indirect trauma both had a significant effect on anxiety, and anxiety had a significant impact on depression. Only cognitive empathy had a significant indirect effect on anxiety and depression. This study provides an important insight into understanding a social phenomenon of 'corona blue' from a empathic perspective.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.384-388
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• 2021

Currently, whether in a domestic or international sphere, many small businesses are suffering due to COVID-19. The grim reality is that several businesses are shutting down. While the national disaster relief grant was used to contain the damages by encouraging consumer spending, it has become difficult to prevent closures of small businesses. As of September 2020, more than 20,000 stores have closed in Seoul due to the COVID-19 pandemic. There has also been an increase in the number of people with depression caused by the COVID-19 blues. This issue is not only confined to Seoul in the Republic of Korea, but is influencing all other areas affected by the pandemic. As the number of COVID-19 patients increase, the number of open stores is decreasing steadily. The analysis of the correlation coefficient of Pearson, Spearman, and Kendall suggests a negative correlation between the number of COVID-19 patients and the number of stores in business.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.300-303
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• 2020

코로나 19사태로 인한 '사회적 거리두기' 운동이 지속되면서 사람들의 생활 형태가 변화된 양상을 띈다. 특히 모임 활동 및 단체 활동의 제한으로 개인 시간이 이전에 비해 증대되었다. 홀로 자택에 머무르는 시간의 증가로 인해 사회적 단절감과 고립감이 심화되며 "코로나 블루"로 일컫어지는 신종 정신 질환이 많은 사람들에게 생겨나 사회적 문제로 이슈화 되고 있다. 본 논문에서는 이러한 사회적 문제를 완화시키기 위해 고안된 새로운 디퓨저 개발과정 및 기존 디퓨저에서 볼 수 없었던 IoT기술과 조향기술과의 접목을 통한 차별성에 대해 서술하였다.