• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.25-33
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• 2017

An increase of the interaction speed can lead to the problem of over-relations. Due to psychological and temporal burdens caused by the excessive relationship, users feel fatigue and users are avoiding using SNS. SNS fatigue and SNS anxiety is regarded as SNS stress related to the side effects caused by the SNS use. This study is to approach negative view which is SNS stress and find out causes of stress from the over-relation of interaction. This study used total of 261 samples from Facebook users. As a results, all hypothesis are accepted using SEM(Structural Equation Model). Information sharing and communication have positive effect on social interaction overload and it causes technostress. The results of this study show that SNS characteristics occurs technostress. This study is significant in that it examines that the features of SNS have negative results.

• The Journal of Information Systems
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• v.25 no.3
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• pp.31-60
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• 2016

Purpose In 2016, the market size of mobile(m-) shopping goes beyeond more than half of a total of online shopping. People use smartphones as the main device for m-commerce. Under the circmustances, this study attempts to address why people prefer to use smartphone-based m-commerce. In other words, it is necessary to understand the main value that smartphone-based m-commerce creates. Drawing on the studies of consumption value, this study focuses on utilitarian value in predicting customers' continuance intention in the context of smartphone-based m-commerce, recognizing that utilitarian value is a key extrinsic motivation in the goal-oriented, performance-oriented shopping contexts. Furthermore, this study identifies factors affecting customers' utilitarian value from the perspective of benefits and costs, following the notion that it represents the result of evaluating a trade-off of benefits and costs caused by smartphone-based m commerce. More specifically, in this study, ubiquitous service, location-based service (LBS), transaction speed, and price utility belong to the benefit dimension, whereas technology anxiety and cognitive effort belong to the cost dimension. Design/methodology/approach To test the proposed hypotheses, the study conducted partial least squares (PLS) analysis with a total of 294 data collected on users with experience in smartphone-based m-commerce. Findings The results show that first, utilitarian value is increased by the benefits, such as ubiquitous service, transaction speed, and price utility. However, LBS has no direct effect on utilitarian value. Second, the noteworthy finding is that ubiquitous service and LBS greatly increase transaction speed. Third, technology anxiety and cognitive effort considered as the cost dimension are negatively associated with utilitarian value but their impacts on it are non-significant. Finally, the results support the argument that utilitarian value is a determinant of continuance intention. Overall, the findings imply that utilitarian value greatly depends on the peception on benefits rather than the aspect of cost in smartphone-based m-commerce. Overall, the findings offer new insight into the studies of m-commerce by considering and verifying the impacts of its benefits and costs simultaneously.

• International Commerce and Information Review
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• v.13 no.1
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• pp.179-196
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• 2011

This study aims to measure the relative importance of trade insurance using AHP developed by Thomas Saaty of Pennsylvania in early 1970s. Moreover, it provides help in the development of a comprehensive strategy of trade insurance. To obtain priority of trade insurance in its functions, this study discovered significance and relative importance of two evaluation standards and four individual evaluation items. Of the two evaluation standards, importance of credit exposure was 63%. It was discovered that it was more important than political means (37%). Of the four individual evaluation items, importance of banking supplementation was 60%. It was more important than credit investigation of overseas traders (40%). Importance of trade promotion policy was 69%, which was more important than removal of anxiety in trade (31%). As a result of comparing priorities of the f tire evaluation items, priority of banking supplementation was 38% followed by trade promotion policy means (26%), credit investigation of overseas traders (25%) and removal of anxiety in trade (12%).

• Anxiety and mood
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• v.8 no.1
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• pp.41-49
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• 2012

Introduction : Suicide in Korea has increased to 31.2 persons per 100,000 population, the world's highest level. Suicide is the 10th leading cause of death in the world, but in Korea, it is 4th leading cause of death. Therefore suicide is a serious problem in Korea. Many suicide prevention strategies have been proposed. Despite efforts to prevent suicides in Korea, a steady increases in the number of suicides has been brought into question the effectiveness of suicide prevention activities in Korea. Methods : Strategy of restricting suicide methods in many countries was reviewed. Systematic approach to restrict suicidal methods in Korea is proposed. Results : Restricting suicide methods is one of the effective suicide prevention strategies employed in the UK and other countries. Since many suicides occur impulsively, suicide attempt lethality is an important factor in determining the rate of deaths in suicidal attempts. Physical restriction of suicide methods is important in preventing suicide, but restriction of cognitive access to information about suicide and suicide method is more important in preventing suicide. In particular hanging is one of the most common methods of suicides in Korea, it is crucial to develop strategies to prevent suicide by hanging cognitively. Also information about suicide should be properly controlled. To do this, suicide news reporting guidelines should be observed, and website makers whose websites provoke thoughts about suicide should be more strictly sanctioned. Conclusion : Restricting suicide methods along with other suicide prevention plans may be the most effective way to prevent suicide in Korea.

• Fashion & Textile Research Journal
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• v.21 no.5
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• pp.564-573
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• 2019

Recently, purchasing expensive branded apparel became prevalent among adolescents as they consume conspicuously. People in their adolescence strongly tend to follow peers and are very likely to pay attention to how they wear look to others. Already a good deal of prior research about young people's conspicuous consumption have focused on variables related to these behaviors. The purpose of this study is to examine demographic characteristics of adolescents who show a conspicuous consumption and factors affecting this consumption which is related to peer relations. And we will examine how negative emotions arisen out of relations influence teenagers' conspicuous consumption of branded apparels ultimately. Being out of favor from peers has an effect on anxiety which is negative emotion in association with peer relations. According to the survey, adolescents did conspicuous consumption following others or following trends to get rid of anxiety. Also, if appears to be acting on clothing consumption as a means not to be marginalized. All these findings are expected to be useful information to adolescents to have a better habit of consumption life, and also anticipated to be valuable information for consumer behavior education. The cause of youth's show-off behavior, which is still incomplete in identity formation and immature in choice and judgement, will have to be analyzed and countermeasures taken against it.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.49-57
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• 2022

Recently, various uses of artificial intelligence have been made possible through the deep artificial neural network structure of machine learning, demonstrating human-like capabilities. Unfortunately, the deep structure of the artificial neural network has not yet been accurately interpreted. This part is acting as anxiety and rejection of artificial intelligence. Among these problems, we solve the capability part of artificial neural networks. Calculate the size of the artificial neural network structure and calculate the size of data that the artificial neural network can process. The calculation method uses the group method used in mathematics to calculate the size of data and artificial neural networks using an order that can know the structure and size of the group. Through this, it is possible to know the capabilities of artificial neural networks, and to relieve anxiety about artificial intelligence. The size of the data and the deep artificial neural network are calculated and verified through numerical experiments.

• Information Systems Review
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• v.12 no.1
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• pp.209-227
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• 2010

One type of innovative multimedia platform environments is mobile data services (MDS), exemplified by Nate, Show, and OZ. In the context of MDS, enhancing user's continuance intention is a significant challenge to the continuing growth and long-term viability of MDS. Because the cost of using MDS is borne mainly by users, they are likely to evaluate it based on perceptions of what is received and what is given. This study identifies perceived usefulness and perceived enjoyment as the 'get'components, and perceived fee and perceived anxiety as the 'give' components. To understand the role of get and give components in the MDS post-adoption environment, this study incorporates these components into expectation confirmation model. We collected data from 204 users who had direct experiences with MDS within recent 3 months. The data was analyzed by employing PLS (partial least squares). Theoretical and practical implications of our findings are discussed.

• Korean Journal of Psychosomatic Medicine
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• v.10 no.2
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• pp.92-100
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• 2002

Objectives : As medical science develops, survival rate of cancer patients rises. Therefore, psychologic understanding and improving quality of life in cancer patients is getting greater significance. The Object of this study is to investigate sociodemographic and clinical characteristics, psychopathology, self esteem and quality of life in cancer patients and to provide useful information for therapeutic approach to cancer patients. Methods : The subjects were 41 patents who had been treated by radiotherapy and 20 normal people. Sociodemographic information and clinical characteristics of cancer patients were investigated, and SCL-90R for psychopathology, Rosenberg Self-esteem Scale for self esteem, WHOQOL-BREF for quality of life were administered to subjects. The results of both groups were compared and analysed, and correlation between variables were evaluated. Results : 1) The tendency of Somatization, obsession-compulsion, depression, anxiety, hostility, phobia, psychosis in cancer group were higher than normal group. Especially, somatization and anxiety in cancer group were significantly higher than normal group. 2) Self esteem and quality of life in cancer group were significantly lower than normal group. 3) No significance were found in comparison of psychopathology, self esteem and quality of life according to sociodemographic variables. Among clinical characteristics, higher somatization was shown in case of more weight loss, and higher somatization and lower quality of life was shown in the presence of pain. 4) Higher anxiety was significantly associated with lower self esteem, and Higher somatization and anxiety was significantly associated with lower quality of life. Conclusion : Cancer patients had various kinds of psychopathology, low self esteem and low quality of life. In particular, somatization and anxiety, self esteem and pain were found to be important factors to quality of life of cancer patients. Therefore, management of psychopathology, improving self esteem, pain control is necessary to improve quality of life in cancer patients.

• Radiation Oncology Journal
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• v.22 no.4
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• pp.271-279
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• 2004

Purpose: The object of this study Is to investigate sociodemographic and clinical characteristics, psychology, self-esteem and quality of life in cancer patients on radiation therapy and to provide useful information for therapeutic approach to cancer patients on radiation therapy. Materials and Methods: The subjects were 36 patents who had been treated with radiation therapy and 20 normal people. Sociodemographic information and clinical characteristics of cancer patients on radiation therapy were investigated, and symptom checklist-90-revised, Rosenberg Self-esteem Scale for self esteem, World Health Organization Quality of Life Assessment Instrument for quality of life were administered to subjects. And Spearman's correlation analysis was used among these. Result : The tendency of somatization, depression, anxiety and hostility in cancer group were significantly higher than normal group. Self esteem and quality of life in cancer group were significantly lower than normal group. No significant difference was found in comparison of psychology, self esteem and qualify on life according to sociodemographic variables. Among clinical characteristics, in the presence of metastasis in cancer patients, the scores of anxiety, phobia and paranoid ideation were higher In patients with pain, the score of somatization was higher And in case of weight loss, the score of somatization was higher. The higher score of depression, anxiety and hostility were significantly associated with lower self-esteem. And higher score of somatization, depression, anxiety and hostility were significantly associated with lower quality of life. Conclusion: Understanding and management of psychological symptoms, such as somatization, depression, anxiety, and hostility, and pain control are necessary to improve quality of life in cancer patients on radiation therapy.

• 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.