• Title/Summary/Keyword: Social distancing

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Effect of using virtual reality simulation for CPR education in prehospital setting (심정지 현장에서 가상현실 시뮬레이션을 이용한 심폐소생술 교육 효과에 대한 연구)

  • Eun-Ae, Kim;Jin-Kyung, Choi;Keun-Ja, Cho
    • The Korean Journal of Emergency Medical Services
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    • v.26 no.3
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    • pp.137-148
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    • 2022
  • Purpose: This study aims to provide essential data for developing educational methods and content, tailored for the prehospital field situation, by analyzing the effects of education regarding the management of cardiac arrest. Methods: This study is a primitive experimental study of 55 new firefighters in C Fire Service Academy. Data were collected from the training which was imparted using the CPR virtual reality simulation program (CBS 2.0) in accordance with COVID-19 quarantine rules and social distancing. Data were analyzed utilizing SPSS version 25.0. Results: After VR simulation training, knowledge about performing CPR (14.85) and self-efficacy (4.12) were significantly high (p<.001). Learning immersion was also high (3.99±0.59), but learning satisfaction was even higher (4.34±0.62). Depending on the recruitment field, firefighters showed higher learning immersion (4.04±0.58 vs 3.68±0.63) and self-efficacy (4.16±0.55 vs 3.91±0.84) than 119 EMTs' but, there was no significant difference between them. In contrast, The quality of performance of CPR by EMT's was significantly higher than that of firefighters (p=.025). Depending on previous simulation experience, there was no significant difference among dependent variables. Conclusion: Virtual reality simulation shows positive results in learning immersion, learning satisfaction, self-efficacy, and performance of CPR. Therefore, we propose that virtual reality simulation training can be a new educational paradigm.

Adolescent Mind Healing Effect Through Music Activity (음악 활동을 통한 청소년 마음 치유 효과)

  • Lee, Sin-Young
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.8
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    • pp.443-456
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    • 2021
  • This study was conducted to determine the extent to which music and art education had an effect on relieving depression and stress caused by COVID-19 and social distancing for teenagers in Seoul. To this end, with the cooperation of the Seoul Metropolitan Office of Education, an official document was issued to elementary, middle, and high schools in Seoul, and a study on the current status of about 1,745 students was conducted. Therefore, this study intends to prove through this study that music activity can significantly contribute to relieving depression and stress in adolescents on the basis that COVID-19 has a significant effect on the induction of depression and stress in adolescents. To this end, based on previous research, while examining the changes in the psychological state of Koreans due to COVID-19, we would like to analyze the depression and stress of adolescents intensively. And by experiencing music activities, it will be confirmed that depression and stress caused by COVID-19 can be relieved to a large extent through physiological and emotional changes. Furthermore, based on the survey, we intend to suggest that music activities will help adolescents to improve their emotional stability, cultural sensitivity, and self-esteem, and ultimately develop into healthy cultural people in terms of education.

Do Leisure Activities Reduce the Level of Depressive Symptoms after Social Distancing Restrictions to be Lifted?: Focused on Offline Leisure Activities and Online Leisure Activities

  • Lee, Jong Man
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.8
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    • pp.225-232
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    • 2022
  • The purpose of this study was to analyze the effect of offline leisure activities and online leisure activities on depressive symptoms in the COVID-19 endemic. To do this, this study proposed a theoretical model consisting of demographic characteristics such as gender, age, academic background, and monthly income, offline leisure activity types such as socially-oriented activities, online leisure activity types such as information searching activities, entertainment activities, and the level of depressive symptoms. A survey was conducted to confirm research hypotheses, and a total of 99 questionnaires were used for statistical analysis. The major results of analysis reveal that first, monthly income is an important factor in predicting the level of depressive symptoms. Second, both offline socially-oriented activities and online entertainment activities have a negative effect on the level of depressive symptoms. This study has implications in that it identified the characteristics of leisure activities that can reduce the level of depressive symptoms.

Metaverse's Characteristic Factors Affecting Word-of-Mouth Intention: Focused on Flow and Satisfaction (메타버스 서비스의 구전의도에 영향을 미치는 요인에 관한 연구: 만족과 플로우를 중심으로)

  • Kim, Jun;You, Jaehyun
    • Knowledge Management Research
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    • v.23 no.2
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    • pp.99-122
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    • 2022
  • Due to the social distancing in the Corona era, people are looking for an alternative online. As 'eXtended Reality' including various technologies, AR, VR and so on, is also on the rise, and the 'MZ' generation is growing to a new consumer group, the Meta-Verse is again in the spotlight. However, existing studies related to the Meta-Verse were mostly listing fragments of definition and classification or focused on eXtended Reality technologies and a subordinate concept. Hence, this study wold like to conduct an empirical analysis to verify influences of Metaverse's characteristic factors over word-of-mouth intention through flow and satisfaction.

WiFi CSI Data Preprocessing and Augmentation Techniques in Indoor People Counting using Deep Learning (딥러닝을 활용한 실내 사람 수 추정을 위한 WiFi CSI 데이터 전처리와 증강 기법)

  • Kim, Yeon-Ju;Kim, Seungku
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.12
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    • pp.1890-1897
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    • 2021
  • People counting is an important technology to provide application services such as smart home, smart building, smart car, etc. Due to the social distancing of COVID-19, the people counting technology attracted public attention. People counting system can be implemented in various ways such as camera, sensor, wireless, etc. according to service requirements. People counting system using WiFi AP uses WiFi CSI data that reflects multipath information. This technology is an effective solution implementing indoor with low cost. The conventional WiFi CSI-based people counting technologies have low accuracy that obstructs the high quality service. This paper proposes a deep learning people counting system based on WiFi CSI data. Data preprocessing using auto-encoder, data augmentation that transform WiFi CSI data, and a proposed deep learning model improve the accuracy of people counting. In the experimental result, the proposed approach shows 89.29% accuracy in 6 subjects.

Prediction of Covid-19 confirmed number of cases using ARIMA model (ARIMA모형을 이용한 코로나19 확진자수 예측)

  • Kim, Jae-Ho;Kim, Jang-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.12
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    • pp.1756-1761
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    • 2021
  • Although the COVID-19 outbreak that occurred in Wuhan, Hubei around December 2019, seemed to be gradually decreasing, it was gradually increasing as of November 2020 and June 2021, and estimated confirmed cases were 192 million worldwide and approximately 184 thousand in South Korea. The Central Disaster and Safety Countermeasures Headquarters have been taking strong countermeasures by implementing level 4 social distancing. However, as the highly infectious COVID-19 variants, such as Delta mutation, have been on the rise, the number of daily confirmed cases in Korea has increased to 1,800. Therefore, the number of cumulative confirmed COVID-19 cases is predicted using ARIMA algorithms to emphasize the severity of COVID-19. In the process, differences are used to remove trends and seasonality, and p, d, and q values are determined and forecasted in ARIMA using MA, AR, autocorrelation functions, and partial autocorrelation functions. Finally, forecast and actual values are compared to evaluate how well it was forecasted.

A Study on the Changes of the Restaurant Industry Before and After COVID-19 Using BigData (빅데이터를 활용한 코로나 19 이전과 이후 외식산업의 변화에 관한 연구)

  • Ahn, Youn Ju
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.787-793
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    • 2022
  • After COVID-19, with the emergence of social distancing, non-face-to-face services, and home economics, visiting dining out is rapidly being replaced by non-face-to-face dining out. The purpose of this study is to find ways to create a safe dining culture centered on living quarantine in line with the changing trend of the restaurant industry after the outbreak of COVID-19, establish the direction of food culture improvement projects, and enhance the effectiveness of the project. This study used TEXTOM to collect and refine search frequency, perform TF-IDF analysis, and Ucinet6 programs to implement visualization using NetDraw from January 1, 2018 to October 31, 2019 and December 31, 2021, and identified the network between nodes of key keywords. Finally, clustering between them was performed through Concor analysis. As a result of the study, if you check the frequency of searches before and after COVID-19, it can be seen that the COVID-19 pandemic greatly affects the changes in the restaurant industry.

A Study on Policy Support for Emergency Relief Grant for COVID-19 through Causal Loop Analyses (인과지도 분석을 통한 코로나-19의 소상공인 정책지원 연구)

  • Suh, Kyung-Do;Choi, Jung il;Choi, Pan-Am;Jung, Jaerim
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.531-539
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    • 2022
  • The government enforced policies such as social distancing and limiting business hours to prevent the spread of COVID-19. However, the impact of the long-term COVID-19 pandemic is causing more serious difficulties for small business owners. The government intended to relieve the business management pressure for small business owners by drawing up the COVID-19 emergency disaster relief funds. The funds provided temporary support for the small business owners, but the prolonged pandemic worsened the business management difficulties. Therefore, this study will apply fixes that fail and shifting the burden archetypes from the system archetype of system thinking for the exploratory deduction of policy measures as the policy leverage to effectively enhance the recovery of small business owners. In response to the situation, emergency financial aid for small business owners and support that can enhance the self-sustaining powers are required to heighten the recovery of small business owners.

The Future Direction of University Liberal Arts Classes in the Post-COVID-19 Era (포스트 코로나 시대 대학 교양영어 수업의 나아갈 방향)

  • Kim, Hye-Jeong
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.51-57
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    • 2022
  • The purpose of this study is to explore the future direction of university liberal arts classes at a time when many educational institutions have returned to face-to-face instruction as social distancing related to COVID-19 has been eliminated. A survey was conducted with 187 college students who took a liberal arts class that included a combination of online and in-person classes. The results found that learners were generally satisfied with remote learning (87.8%). The reasons for this high level of satisfaction included sufficient comprehension of class content, systematic class progress, and the efficiency and convenience of learning in a remote environment. Satisfaction levels for in-person classes (66%) were relatively lower than those for remote classes, and this is reflected in the preference for class type. Among wholly in-person, wholly remote, and a combination of both, it was found that learners preferred remote classes the most (54.4%). When conducting in-person classes, instructors must devise a class plan that incorporates the advantages of online remote classes.

Development of Risk Society Education Program (RSEP) in Connection with Science Education (과학교육과 연계한 위험사회 교육프로그램 개발)

  • Eun-Ju Lee
    • Journal of the Korean Society of Earth Science Education
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    • v.16 no.1
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    • pp.103-132
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    • 2023
  • This study developed a risk society education program for undergraduate students to help them understand the epistemological uncertainty of risk caused by COVID-19. And it was applied to science-related classes of undergraduate students, and the purpose was to examine the degree of understanding and thoughts of undergraduate students about the risk society through science writing. As a result, it was found that the degree of understanding of the risk society was very high in all participating students regardless of their majors in science, engineering, humanities and social sciences. In addition, it was analyzed that the risk society education program helped undergraduate students to resolve the epistemological uncertainty of the risk of COVID-19 and to have an attitude to overcome the the difficult mind due to the COVID-19 distancing. The results of this study suggest that risk society education is necessary for future generations living in an era of risk of climate change and pandemic that exceeds the prediction range of science and technology in science education.