• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.11
• /
• pp.4984-4993
• /
• 2012

This study was initiated with the need of studies to promote learning and use of collaboration skills that learners should have in collaborative learning in CSCL. The researcher carried out research on 96 students taking the course of 'educational methods and educational technology' in K collage to take a look at the impact of prior training on collaboration in CSCL and interaction of types of collaborative scripts. To answer the first research question, the scores of each group's chatting in collaborative learning process and messages represented in the process of task performance based on collaborative skills were measured and analyzed. In addition, to answer the second research question, the scores of each group's shared mental model formulation based on relevant evaluation standards were analyzed. This study results, First, there was no significant difference in the acquisition of collaboration skills caused by interaction of prior training on collaboration and collaboration skills and collaborative scripts. However, it turned out that types of collaborative scripts give significant impacts on acquisition of collaboration skills. Second, there was also no significant difference between prior training on collaboration and the formulation of shared mental model by the interaction of collaborative scripts. However, it is showed that types of collaborative scripts have significant impacts on the formation of shared mental model.

• Korean Journal of Health Education and Promotion
• /
• v.24 no.4
• /
• pp.161-179
• /
• 2007

To commonly apply the ${\ulcorner}$Measurement parameter for housewives for rearing-related supports of a husband${\lrcorner}$ in Korea and Japan, the current study conducted to confirm the relationship between recognition of a housewife for rearing-related supports of a husband and mental health after reviewing the appropriateness of the parameter. For the statistical analysis, 829 married Korean women in D city and 1,302 Japanese women in S city having children before entering a school were subjected for the study. For reviewing the appropriateness of the parameter, the simultaneous factor analysis that adopted the structural equation modeling was used. As the result of the analysis, 10 categories of factor structural model comprising the ${\ulcorner}$Recognition of a housewife for rearing-related supports of a husband${\lrcorner}$ resulted with the secondary model which sets of ${\ulcorner}$Recognition for emotional support${\lrcorner}$, ${\ulcorner}$Recognition for instrumental support${\lrcorner}$ and ${\ulcorner}$Recognition for information support${\lrcorner}$ as the primary factor and ${\ulcorner}$Recognition of a housewife for rearing-related supports of a husband${\lrcorner}$ as the secondary factor, and the model was found to be appropriate for the data in Korea and Japan. The result is considered to prove the constructs validity of ${\ulcorner}$Recognition of a housewife for rearing-related supports of a husband${\lrcorner}$ parameter. In addition, the relationship between ${\ulcorner}$Recognition of a housewife for rearing-related supports of a husband${\lrcorner}$ and mental health(GHQ) was reviewed by using multiple indicator model, and found the similarity of Korean and Japanese data. The scores measured by using the above parameter resulted to show high relationship with educational level of housewife, family configuration, and number of children.

• Journal of Digital Contents Society
• /
• v.19 no.9
• /
• pp.1819-1824
• /
• 2018

This paper proposes a control method of ASMR(autonomous sensory meridian response) contents to relieve user's stress and improve his attention. The proposed method measures EEG(electroencephalography), attention, meditation, and eyeblink data from an EEG device and sends them to an oneM2M-compliant IoT(internet of things) server platform through an Android IoT Application. Then a SVM(support vector machine) model is built to classify user's mental health status by using EEG, attention and meditation data collected in the server platform. The ASMR contents are controlled by the mental health status classified by a SVM model and the eyeblink data. When comparing the SVM models according to types of data used, the SVM model with attention and meditation data showed accuracy of 85.7%. It was verified that the proposed control algorithm of ASMR contents properly worked as the mental health status from the SVM model and the eyeblink data changed.

• Journal of Society of Preventive Korean Medicine
• /
• v.19 no.2
• /
• pp.75-82
• /
• 2015

Objective : The objective of this study is to analyze various factors of how mental health, self esteem, and stress affect health living conditions aimed at college students who have a low level of self-awareness. This study can provide college students the vitality lifestyle by developing and applying customized healthy living program. Furthermore, it can benefit preventing disease and improving health condition. Method : This study is aimed at college students in Daegu. The research subjects' distributions consist of male of 138 and female of 144, which totaled 282. The collected data was analyzed by SPSS 18.0, statistical program.4 Results : The result of the study indicated that the main factors that affect self esteem, stress, and mental health condition are allowance and part time jobs. It shows that health characteristic doesn't have relationship with self esteem. However, stress are mental health have a close relationship with drinking, health conditions, sleeping hours, and exercise. Conclusion : College Students should manage and lead healthy living style as a role model of family and society; as a result, healthy living style in the college becomes very important time period in the life time. Therefore, college students need to improve self esteem and reduce stress in order to benefit their mental health. College faculty members also need to put an effort on educational health programs regarding the practice of healthy life such as campaign for antismoking, moderating in drink, and exercising.

• Journal of Preventive Medicine and Public Health
• /
• v.49 no.1
• /
• pp.69-78
• /
• 2016

Objectives: The suicide rate in Korea is increasing every year, and is the highest among the Organization for Economic Cooperation and Development countries. Psychiatric patients in particular have a higher risk of suicide than other patients. This study was performed to evaluate determinants of mental health care utilization among individuals at high risk for suicide. Methods: Korea Health Panel data from 2009 to 2011 were used. Subjects were individuals at high risk of suicide who had suicidal ideation, a past history of psychiatric illness, or had utilized outpatient services for a psychiatric disorder associated with suicidal ideation within the past year. The chi-square test and hierarchical logistic regression were used to identify significant determinants of mental health care utilization. Results: The total number of subjects with complete data on the variables in our model was 989. Individuals suffering from three or more chronic diseases used mental health care more frequently. Mental health care utilization was higher in subjects who had middle or high levels of educational attainment, were receiving Medical Aid, or had a large family size. Conclusions: It is important to control risk factors in high-risk groups as part of suicide prevention strategies. The clinical approach, which includes community-based intervention, entails the management of reduction of suicidal risk. Our study identified demographic characteristics that have a significant impact on mental health care utilization and should be considered in the development of suicide prevention strategies. Further studies should examine the effect of mental health care utilization on reducing suicidal ideation.

• Journal of the Korea Convergence Society
• /
• v.9 no.4
• /
• pp.251-259
• /
• 2018

The purpose of this study is to investigate of mental health professionals regarding job burnout, emotional labor and mental health by verifying the moderating effect of resilience. Results from analyzing 1,020 mental health professionals(certified people with 1st, 2nd grade licence in nursing, social welfare, and psychology) collected in the academic service studies by the National Mental Health Education Research Center in 2014 showed that job burnouts and emotional labor both had negative correlation with mental health, but in cases of analyzing moderating effects in resilience, only job burnout presented significant results. Accordingly, the results indicated that resilience could buffer the danger of mental health of mental health workers from job burnouts and emotional laboring. This study shows that it is important to care about the mental health of not only the people who receive mental health care services, but also the mental health care professionals who provide services. It also shows that the research has to be conducted with convergence considering both sides. Measures regarding the mental health care of mental health professionals were further discussed based on the results of this study.

• Korean Journal of Social Welfare Studies
• /
• v.41 no.4
• /
• pp.277-311
• /
• 2010

The powerful association between poverty and mental health has been recognized for many decades in the Western Countries. Despite growing poverty studies, there has been little attention to the association between poverty and mental health in Korea. In this article we examine the effects of the mental health on the poverty status transition. In this study we draw on nationally representative data from the The Korean Welfare Panel Study, to estimate the effects of depression and self-respects on the poverty status transition. Major findings are as follows. First, we find that there are mental health disparities between poor and non-poor classes. The mental health conditions of the poor are worse than the non-poor. Second, we find the strong correlations between the mental health and poverty status transition. Whether poor family exits poverty or not depends on the household head's mental health. Third, poverty experiences are different depending on the mental health conditions. To the mental ill-health family, the probabilities of poverty-exit are much lower and poverty duration is more long. Fourth, we find that family poverty status transitions are very significantly related with household head's mental health from the logistic model analysis. These findings suggest that there is a strong relationship between poor mental health and the experience of poverty in Korea. They also suggest that intervention programs to enhance the mental health of the poor are needed in order to reduce the poverty problem in Korea.

• Archives of design research
• /
• v.13 no.1
• /
• pp.59-66
• /
• 2000

The more the function of Car Navigation System (CNS) is getting more various and high-grade, the more functions are necessary for a user to use simply and dearly from a user. But now the using CNS's a using circumstances is not satisfied with these requirements. In this paper, author analyzed the using circumstances composed of CNS to improve these problems and the function of a competitive company's products, extracted the necessary functions. Then author analyzed objected model and dynamic model by the objective modeling centering around Hyundai Electronic Company's HNK-1 COLD model mounted Hyundai Motor Company Equus vehide. In the Hyundai Electronic Company's HNK-1COLD model mounted Hyundai Motor Company Equus vehide, author analyzed the mental model of user used observation method the user behavior by taking video, and then studied all the functions and restructured the information structure, finally present the interface guide line of a user of CNS.

• Asian Journal for Public Opinion Research
• /
• v.2 no.2
• /
• pp.121-139
• /
• 2015

"Living in the present moment," a Buddhist concept, was applied in this research. This concept urges the patients to cling neither to the past nor the future as well as being mindful of their body, feelings, mind, and mental qualities. The purpose of the study was to develop a "living in the present moment" model and to evaluate the power of "living in the present moment" in terms of physical and mental results. The study used non-participatory action research with quasi-experimental research design that included 3 camps composed of 6 main activities. The percentages, SD, and paired t-test statistics were used to analyze and compare 17 purposively selected diabetic patients from Pak Thong Chai Hospital before and after they attended the 3 camps. The patients improved significantly in terms of waistline, body weight, body mass index (BMI) and blood pressure (SBP and DBP). The mean of fasting plasma glucose (FPG) level was also changed considerably. The results revealed that the treatment helped the patients to gain self-awareness and self-realization (Yonisomanasikara), as well as knowledge and increased support from friends (Kalyanamitta). They also let go of their attachment to their physical and mental oppressions. This helped the patients to relieve their daily pain, fatigue, insomnia, and diabetes-related complications. About 75% of all patients were able to achieve lifestyle modifications. Therefore, implementation of the model should be expanded and utilized in other diabetic centers. The model might also be expanded to pre-diabetes.

• Healthcare Informatics Research
• /
• v.24 no.4
• /
• pp.309-316
• /
• 2018

Objectives: Both the valence and arousal components of affect are important considerations when managing mental healthcare because they are associated with affective and physiological responses. Research on arousal and valence analysis, which uses images, texts, and physiological signals that employ deep learning, is actively underway; research investigating how to improve the recognition rate is needed. The goal of this research was to design a deep learning framework and model to classify arousal and valence, indicating positive and negative degrees of emotion as high or low. Methods: The proposed arousal and valence classification model to analyze the affective state was tested using data from 40 channels provided by a dataset for emotion analysis using electrocardiography (EEG), physiological, and video signals (the DEAP dataset). Experiments were based on 10 selected featured central and peripheral nervous system data points, using long short-term memory (LSTM) as a deep learning method. Results: The arousal and valence were classified and visualized on a two-dimensional coordinate plane. Profiles were designed depending on the number of hidden layers, nodes, and hyperparameters according to the error rate. The experimental results show an arousal and valence classification model accuracy of 74.65 and 78%, respectively. The proposed model performed better than previous other models. Conclusions: The proposed model appears to be effective in analyzing arousal and valence; specifically, it is expected that affective analysis using physiological signals based on LSTM will be possible without manual feature extraction. In a future study, the classification model will be adopted in mental healthcare management systems.