• KIEAE Journal
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• v.16 no.4
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• pp.47-54
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• 2016

Purpose: Grafting new hanok-style application technology on child daycare facility among public buildings can be an alternative that provides infant facility, which is placed at the center of social attention and interest, with pleasant nursing environment. Besides, it is expected to have a great impact on infants' and young children's emotion by helping them recognize traditional culture at early stage and furthermore can be used for villagers to experience differentiated traditional culture. Method: To investigate the recent construction of HeungCheon/SuRak/GeumGwa's Hanok child daycare facility recognizing for architectural planning characteristics in common tendency Hanok that presents a physical improvement plan for preparing the continued competitiveness. Also attention to the creative expression of the traditional spaces about the natural environment are implemented in Nurseries and we propose the possibilities that can be realized in the future Hanok child daycare facility. Result: The combination of modern materials and modern construction technology of New-hanok method with improved ability has improved the shortcomings of traditional architecture and increase the ease and safety of traditional architecture succeed the suggest direction of improvement modern society. Therefore, Hanok child daycare facility is preparing adequate capability to solve regional polarization and social care issues.

• Journal of Korean Clinical Nursing Research
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• v.29 no.3
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• pp.283-295
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• 2023

Purpose: The purpose of this study was to provide basic data to understand the organizational culture of nurses by categorizing nurses' experience of coping with bullying in the workplace through Q methodology and analyzing the characteristics of each type, and to induce correct policy measures and interventions to create an atmosphere created in the nursing clinical field to be more advanced and positive. Methods: To form the Q population, focus group interviews were conducted with nurses working for more than six months at two general hospitals in Seoul and Gyeonggi. Interviews were conducted by 12 nurses introduced to participants who can provide researchers with a wealth of information on workplace bullying experiences without filtration. In addition, the Q population was extracted by reviewing the results. Based on the results derived from this, 38 Q statements in total were extracted. Forty clinical nurses were required to classify Q sample statements, and the data collected through this were analyzed using the pc-QUANAL program. Results: As a result of the analysis, a total of five types of clinical nurses' experiences of coping with bullying in the workplace were identified: 'tense emotion-based tolerance response,' 'positive thinking-based self-effort response', 'individualistic thinking-based passive response', 'support system-based emotional expression response' and 'active response centered on problem-solving'. Conclusion: The derived response types are expected to be guidelines for suggesting strategies to eradicate bullying in the workplace at the organizational level, individual level, prevention level, and organizational culture level.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.501-511
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• 2020

This study examined the relationship between emotional labor, job stress and job performance for 226 social workers. The main results are as follows. First, the degree of attention to emotion expression, a sub-concept of emotional labor, had a positive effect on role conflict, a sub-concept of job stress, and emotional disharmony had a positive effect on role overload and role conflict. Second, attention level, emotional disharmony, and frequency of emotional labor, which are sub-concepts of emotional labor, did not have a statistically significant effect on both job performance and sub-concepts, role conflict, role conflict, and job ambiguity. Third, role overload and role conflict, which are sub-concepts of job stress, have a statistically significant negative impact on both in-role performance and out of role performance.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.364-374
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• 2021

In a fiercely competitive market, brands have become an important foundation for people to choose their products, and brands are also symbols of people's status and strength. Therefore, the importance of brand image design is growing. And color is an expression of emotion and can improve the communication and marketing environment of brand image as an important element of brand image. In this study, Interbrand selected Korea-China TOP 50 brand as a survey target in 2019 and downloaded brand CI from each brand's homepage to data images through Adobe Photoshop program and HSB system, and analyzed the color of the brand. There is no big difference in analyzing the color characteristics of Korean and Chinese brands, and the I.R.I color image scale analysis shows that the overall design of Korean brands is vibrant, elegant and warm to consumers. On the other hand, the overall design of the Chinese brand offers consumers a solemn, modern and sophisticated emotional adjective. Based on the results, this study can provide practical implications for companies to select colors and forms when launching their own brands and developing products.

• Korean Journal of Community Nutrition
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• v.28 no.2
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• pp.114-123
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• 2023

Objectives: Current social norms in the United States do not favor breastfeeding in public. This study examined associations between college students' explicit and implicit emotions of breastfeeding in public and their intention to support public breastfeeding. Methods: Twenty-two student participants viewed images of a breastfeeding woman with a fully-covered, fully-exposed, or partially-exposed breast in a public setting. After viewing each image, participants' explicit emotions (self-reported) of the image were measured using a questionnaire and their implicit emotions (facial expression) were measured using FaceReader technology. We examined if a relationship exists between both emotions [toward images] and intention to support breastfeeding in public using correlation techniques. We determined the relative influence of two emotions on the intention to support breastfeeding in public using regression analyses. Results: The nursing images depicting a fully-covered breast (r = 0.425, P = 0.049 vs. r = 0.271, P = 0.222) and fully-exposed breast (r = 0.437, P = 0.042 vs. r = 0.317, P = 0.150) had stronger associations with explicit emotions and intention to support breastfeeding in public compared to implicit emotions and intention. Breastfeeding knowledge was associated with a positive explicit emotion for images with partial- (β = 0.60, P = 0.003) and full-breast exposure (β = 0.65, P = 0.002). Conclusions: Explicit emotions appear to drive stated intentions to support public breastfeeding. Further research is needed to understand the disconnect between explicit and implicit emotions, the factors that influence these emotions, and whether stated intentions lead to consistent behavior.

• The Journal of Society for e-Business Studies
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• v.21 no.1
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• pp.33-63
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• 2016

The diffusion of smartphone has make people engaged in communication with mobile messenger in everyday life. To understand the rapid growth of mobile messenger usage, this study investigates the unique features of mobile messenger services as communication media. Based on the media synchronicity theory and literature about online communication, we identify the functional and emotional features of mobile messenger. In particular, this study demonstrates that functional and emotional features of mobile messenger would influence intimacy and fatigue. Also, intimacy and fatigue, as mediating variables, have an impact on user satisfaction and commitment toward mobile messenger service. The results of this study provide practical implications for mobile messenger providers and users which attempt to facilitate positive effect such as intimacy among users and reduce negative effect such as fatigue on mobile messenger communication.

• Korean Journal of Social Welfare Studies
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• v.49 no.1
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• pp.163-190
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• 2018

The citizen-initiative has been frequently mentioned in community building project which is being promoted by Seoul City. The citizen-initiative has become an important concept in the direction of community welfare efforts. However, this concept has not been defined clearly in social welfare. In this context, the purpose of this study is to find how the practitioners of the social welfare practice field recognize the concept of citizen-initiative. In this study, concept mapping method was used to generate 59 statements about the citizeninitiative in 10 social workers in Seoul. Multidimensional scaling analysis and hierarchical cluster analysis are used to do mapping and grouping the 59 statements. The results are as follows. A total of 6 categories were derived. The six categories are named "Inducement of Participation", "Practice", "Procedure", "Awareness and Interest extension", "Expression of Opinion", "Attitude and Emotion". "Practice" category was revealed as a core category in the concept of citizen-initiative. This study is meaningful as a first step to discuss "what is the citizen-initiative?" and to make consensus in social welfare academic area and practice field.

• Korean Journal of Culture and Social Issue
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• v.24 no.3
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• pp.451-472
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• 2018

The purpose of this study was to examine implicit associations of negative emotion (i.e. anxiety and depression) and self among a college students having experienced posttraumatic stress symptoms. The participants were 61 college students(male 16, female 45). They were classified into two groups, trauma group(n=35) and control group(n=26) according to scores of Korean version of Impact of Events Scale-Revised. Two groups were compared with regard to automatic self-anxious and self-depressive associations measured with the Implicit Association Test using both words and facial expression pictures, respectively. As results, trauma group showed more enhanced self-anxious association in the words conditions, and stronger self-anxious and self-depressive associations in the pictures conditions than control group, whereas there were no significant differences between two groups in explicit cognition and depression. These results suggest that traumatic experiences could influence self-concepts in the automatic process. Limitations of the current study and suggestions for future research were discussed.

• The Korean Journal of Applied Statistics
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• v.31 no.5
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• pp.539-554
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• 2018

Effective interaction between user and device is considered an important ability of IoT devices. For some applications, it is necessary to recognize human facial expressions in real time and make accurate judgments in order to respond to situations correctly. Therefore, many researches on facial image analysis have been preceded in order to construct a more accurate and faster recognition system. In this study, we constructed an automatic recognition system for facial expressions through two steps - a facial recognition step and a classification step. We compared various models with different sets of data with pixel information, landmark coordinates, Euclidean distances among landmark points, and arctangent angles. We found a fast and efficient prediction model with only 30 principal components of face landmark information. We applied several prediction models, that included linear discriminant analysis (LDA), random forests, support vector machine (SVM), and bagging; consequently, an SVM model gives the best result. The LDA model gives the second best prediction accuracy but it can fit and predict data faster than SVM and other methods. Finally, we compared our method to Microsoft Azure Emotion API and Convolution Neural Network (CNN). Our method gives a very competitive result.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.4
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• pp.239-246
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• 2021

In the field of computer graphics and HCI, there are many studies on systems that create characters and interact naturally. Such studies have focused on the user's response to the user's behavior, and the study of the character's behavior to elicit positive emotions from the user remains a difficult problem. In this paper, we develop a prototype of an interaction system to elicit positive emotions from users according to the movement of virtual characters using artificial intelligence technology. The proposed system is divided into face recognition and motion generation of a virtual character. A depth camera is used for face recognition, and the recognized data is transferred to motion generation. We use imitation learning as a learning model. In motion generation, random actions are performed according to the first user's facial expression data, and actions that the user can elicit positive emotions are learned through continuous imitation learning.