• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.1-16
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• 2022

The current AI technology has been developing rapidly enough to realize or even exceed the level of abilities that only humans had in the past. In the near future, it is predicted that humans and AI will influence each other as members of the metaverse society. Therefore, this study emphasizes the importance of empathy as a core competency for humans to pursue happiness while maintaining the dignity of humans in the era when AI and humans will coexist in the metaverse. In this study, 'Digital Human Empathy Index (DHEI)' is developed that reflects the social nature of computer-mediated communication in the metaverse As a result, DHEI consisted of a total of 7 factors, which are Perspective Taking, Self/Other Awareness, Contextual Understanding of Systemic Barriers, Impact Assessment, Solidarity, Being Peaceful, and Anthropomorphism. This study is expected to contribute to setting the direction of future education by suggesting a new measure of empathy.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.367-378
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• 2014

The purpose of this study was to explore the factors related to internet addiction in college student of Korea. Methods: From November 19, 2012 until December 14, 2012, 300 college students from one of the universities located at K city were surveyed. This study is a cross-sectional survey of college students in K city, and data was collected through self-report questionnaires. Data was analyzed by Fisher's exact test, independent t-test to identify different according to addiction group, and logistic regression analysis in order to factors related to on health behavior, sexual behavior and mental health of among college students. According to results, factors related to risk of addiction were lower frequency of exercise (p<0.05), no eat breakfast for 2 day (p<0.05), porno magazine/porno video contact pornography (p<0.05), subjective happiness index (p<0.05), and suicidal Ideation (p<0.05). This study suggest that exercise, regular diet, important of reproductive health, subjective happiness index and Suicidal Ideation are associated with internet addiction in College student. It is necessary to develop some preventive programs for those of internet addiction.

• The Korean Journal of Coaching Psychology
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• v.5 no.2
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• pp.127-170
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• 2021

This study developed a measure to measure wellness-seeking behavior in important areas of life for general adults in Korea and verified its validity. For the development of the wellness scale, 31 factors derived through literature review, expert interviews, in-depth interviews, open questionnaires 1 and 2, and 182 questions were selected as the final 10 factors and 99 questions. Through exploratory factor analysis of the results of the preliminary survey of 351 adults in Korea, 58 questions of 10 factors were derived, and some of the questions reflecting important concepts in each factor were revised, and this survey was conducted with 63 questions of 10 factors. In this survey conducted on 667 people, to verify the validity of the composition concept of this test, the entire sampling was divided into two groups, one group was subjected to exploratory factor analysis, and the other group was subjected to confirmatory factor analysis. As a result of exploratory factor analysis, 63 questions of 10 factors (work, community, family, others, economic power, self-esteem, leisure, physical health, spirituality, and self-growth) were finally derived, and confirmatory factor analysis using the structural equation model verified that the model fit criteria were met. Convergence validity was verified using the K-MHC-SF and Wellness Index for Workers to verify whether the derived wellness scale and its sub-factors actually measure wellness. As a result of analyzing the relationship between the variables and factors of the Subjective Happiness Scale and Life Scale to verify the validity related to the criteria, it was found to be a significant correlation. As a result of confirming the significance of each path through multiple regression analysis, the 'self-esteem' on the wellness scale was identified as the most important factor influencing subjective happiness and life satisfaction. Finally, discussions on this research process and results, academic significance and practical significance, limitations, and future research directions were presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6317-6323
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• 2013

The aim of this study was to determine the association between the Body Mass Index (BMI), weight perception and depression-like symptoms in Korean middle school students. The data was obtained from the 2012 Korea Youth Risk Behavior Web-based Survey. The subjects were 37,297 students living in the community. Adjusting for covariates (sex, school year, home economics, city-type, school record, self-reported happiness, self-reported health status, suicidal thinking, smoking, alcohol consumption), the self-reported obesity (OR=1.14, 95% CI: 1.06-1.22) and self-reported underweight (OR=1.11, 95% CI: 1.03-1.20), compared to the self-reported healthy weight, were more likely to have depression-like symptoms. On the other hand, the BMI-based weight was not associated independently with depression-like symptoms. These findings suggest that weight perception is significantly associated with depression-like symptoms.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.865-869
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• 2010

건전한 물순환체계 구축을 위해서는 물이용, 치수, 하천환경 등 각 분야별 평가뿐만 아니라 수자원 현황을 평가할 수 있는 통합지수 개발이 절실히 요구되고 있다. 외국의 사례에서도 찾아볼 수 있듯이 현재 국외에서는 지표 및 지수개발을 통해 수자원 관련 현황과 정책의 방향성 및 사업의 성과 등을 평가하려는 노력이 지속되고 있다. 또한 국제기구에서는 세계 각국의 관련 자료를 수집, 분석하고 이를 지표 및 지수화하여 각국의 순위를 매김으로써 각 나라의 현주소를 제시하고 있다. 이에 대해 최근 들어 국제기구에서는 우리나라의 물 관련 현황에 대한 자료 및 통계치를 요구하는 사례가 늘어나고 있다. 따라서 우리나라의 수자원 관련 자료를 조사, 수집하고 분석한 올바른 정보를 제공함으로써 보다 합리적인 분석을 수행할 수 있도록 지원해야 한다. 본 연구에서는 국내 수자원 현황과 사업의 효과를 평가하기 위해 물이용의 취약정도를 평가하는 물이용 취약지수와 홍수 위험도를 평가하는 홍수위험지수 및 하천환경 취약정도를 평가하는 하천환경취약지수로 구성된 물행복지수(Water Happiness Index : WHI)를 개발하였다. 개발된 물행복지수를 통해 각 중권역에 대해 지수 값을 산정하여 비교 분석함으로써 수자원 현황을 시 공간적으로 분석하였다. 물행복지수는 여러 가지 기초정보만으로는 판단하기 어려운 수자원 현황 및 변화를 하나의 수치로 판단할 수 있는 척도를 제공할 수 있으며 연도별 분석을 통해 수자원 현황 및 특성 변화를 파악할 수 있어 수자원 관련 정책 수립 시 각 지역의 과거에서부터 현재까지의 연도별 수자원 특성을 반영한 대책을 세우는 데 유용하게 이용될 것으로 판단된다. 또한 국가 수자원 정책과 사업성과에 대한 평가가 가능할 것이며 수자원 정책 수립 지원을 위한 기반 정보를 제공할 것으로 기대된다.

• Korean Journal of Health Education and Promotion
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• v.24 no.3
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• pp.35-49
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• 2007

Objectives: This study examines the relationship between social capital and suicidal impulse for the Metropolitan Seoul residents, paying particular attention on individual and area level risk factors using multilevel analysis techniques. Methods: Data are obtained from the 2005 Seoul Health Indicators Survey and the Seoul Survey. At the individual level, we analyze demographic variables including sex, age, marital status, educational attainments, family income, field of economic activities, having close friends or relatives, and having participating groups or organization. To measure the area level social capital, happiness index, attitude toward minority, the percent of volunteer activity, the percent of having close friends or relatives, and the percent of participating groups or organization are considered. A multilevel logistic regression analysis is conducted utilizing the SAS 9.1. Result: Results show that non-aged, female, not currently married, unemployed individuals tend to have relatively high motivation of suicide. Controlling for individual level covariates, the relationship between social capital and suicidal impulse is neither significant nor substantial. Further, the consideration of area social capital does not explain the variances in suicidal impulse across 25 Kus. Conclusion: Suicidal impulse among Seoul residents is mainly attributable to the composition of individual characteristics but little to the contextual social capital.

• Journal of Korean society of Dental Hygiene
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• v.15 no.5
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• pp.831-839
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• 2015

Objectives: The objective of the study was to investigate the influencing factors of turnover intention in the clinical dental hygienists. Methods: A self-reported questionnaire was completed by 415 dental hygienists in Gyeonggi, Chungcheong, Jeolla, and Kyongsang province from October 1 to December 31, 2014. Data were analyzed using IBM SPSS statistics 19.0 with a significance level of 0.05. The study instruments included 9 questions of the general characteristics of the subjects, 7 questions of job related characteristics, 16 questions of job stress, 20 questions of job satisfaction, 10 questions of burnout, 15 questions of organizational commitment, 10 questions of happiness index, and 10 questions of turnover intention measured by Likert 5 point scale. Results: Turnover intention was significantly related with job stress, burnout, and organizational commitment. Conclusions: In order to reduce the turnover intention in the hospital workers, it is very important to manage the human resources through continuous development of the competence and performance activation program.

• Journal of Internet Computing and Services
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• v.23 no.2
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• pp.45-52
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• 2022

With the development of artificial intelligence analysis methods, especially machine learning, various fields are widely expanding their application ranges. However, in the case of classical music, there still remain some difficulties in applying machine learning techniques. Genre classification or music recommendation systems generated by deep learning algorithms are actively used in general music, but not in classical music. In this paper, we attempted to classify opera among classical music. To this end, an experiment was conducted to determine which criteria are most suitable among, composer, period of composition, and emotional atmosphere, which are the basic features of music. To generate emotional labels, we adopted zero-shot classification with four basic emotions, 'happiness', 'sadness', 'anger', and 'fear.' After embedding the opera libretto with the doc2vec processing model, the optimal number of clusters is computed based on the result of the elbow method. Decided four centroids are then adopted in k-means clustering to classify unsupervised libretto datasets. We were able to get optimized clustering based on the result of adjusted rand index scores. With these results, we compared them with notated variables of music. As a result, it was confirmed that the four clusterings calculated by machine after training were most similar to the grouping result by period. Additionally, we were able to verify that the emotional similarity between composer and period did not appear significantly. At the end of the study, by knowing the period is the right criteria, we hope that it makes easier for music listeners to find music that suits their tastes.

• Asian Journal for Public Opinion Research
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• v.9 no.2
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• pp.106-141
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• 2021

This study was conducted for the purpose of empirically analyzing the effects of adolescents' relationships with major adults as protective factors for smartphone addiction. Specifically, the study compared the discriminatory effects of adolescents' relationships with their parents, school teachers, and educational institute teachers on smartphone addiction among elementary, middle, and high school students in Korea. Analyzing the data of the 2019 Korean Children & Youth Happiness Index (N=7,454), it was found that relationships with adults were significant factors in explaining the level of smartphone addiction even after controlling for the influences of adolescents' demographics, usage time, and friendship factors. For elementary school students, good relationships with their mothers and school teachers decreased the risk of smartphone addiction. On the other hand, in the case of middle school students, only a good relationship with father functioned as a protective factor. Good relationships with their fathers and institute teachers decreased the level of high school students' smartphone addiction. Based on these findings, this study discussed on the development of programs and policies for prevention and intervention of adolescents' smartphone addiction and provided suggestions for follow-up research in the future.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.383-388
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• 2024

This study conducted voluntary focus group user observations to empirically validate the efficacy of the self-developed psychological support mobile application, "Mindful Now". The app is structured as an interactive game format, enabling individuals to activate self-awareness of mindfulness states anytime, anywhere. It consists of a 3-step process of sensory/emotional/consciousness awareness, facilitating the expression of non-judgmental awareness. To demonstrate the effectiveness of this mindful activation in enhancing psychological well-being such as happiness and stress reduction, voluntary mindfulness mobile app usage was tracked among 49 university students. The results revealed significant improvements, with a 14.4% increase in SWLS happiness index and a 17.1% decrease in PSS-10 stress levels among 12 users who used the app continuously for over 60 days to practice mindfulness awareness. Particularly, higher app engagement was observed among students who initially reported relatively lower indices before using the app. The utilization of mobile apps that promote mindful activation aligns with various therapeutic paradigms based on mindfulness and meditation, contributing to advancements in digital therapeutic interventions for psychological support.