• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.2
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• pp.194-202
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• 2013

Purpose: The purpose of this study was to identify the effects of leader's emotional intelligence and nurse's own emotional intelligence on organizational commitment and organizational citizenship behavior. Methods: Data were collected by self-administered questionnaires from 346 clinical nurses, and analysed by the SPSS 18.0 program. Results: The Factors which influence organizational commitment were use of emotion of nurse (${\beta}$=.28), other's emotional appraisal of leader(${\beta}$=.25), regulation of emotion of leader(${\beta}$=.16), other's emotional appraisal of nurse(${\beta}$=14). These factors explained 36.7% of organizational commitment. The Factors which influence organizational citizenship behavior were other's emotional appraisal of nurse(${\beta}$=.25), use of emotion of nurse(${\beta}$=.24), regulation of emotion of nurse(${\beta}$=.23), use of emotion of leader(${\beta}$=.20). These factors explained 43.6% of organizational citizenship behavior. Conclusion: The results of this study can be used to develop hospitals' management strategies for enhancement of nurses' organizational commitment and organizational citizenship behavior.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2004.11a
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• pp.41-41
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• 2004

• Journal of the Korean Home Economics Association
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• v.44 no.7 s.221
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• pp.99-111
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• 2006

This study was conducted to investigate children's emotional response, emotion regulation strategy, and emotion regulation effect (regulation effect of strategies), and to determine the relationships among emotion regulation strategy, emotion regulation effect and children's psychological well-being in anger, (ear, and disappointment situations. Emotion regulation strategy recomposed four strategies through factor analysis based on the children's direct answers to the question inquiring on the method used to regulate anger, fear, and disappointment. A total of 359 elementary school children in glades 5 or 6 selected one strategy use to regulate anger, fear, and disappointment. The effect of that selected strategy were estimated. Psychological well-being is evaluated by a questionnaire. The results of this study showed that most of elementary school children used the attention evocation strategy to regulate anger, fear, and disappointment, and this strategy was confirmed to be the most effective. Children's psychological well-being was associated with only emotion regulation effect in anger, fear, and disappointment situations.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.129-134
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• 2009

Recently, percentage of people who use SMS service is increasing. However, it is difficult to express own complicated emotion with text and emoticon of exited SMS service. This paper focuses on that point and practical uses character animation to express emotion and nuance correctly, funny. Also this paper suggests emotion based gesture animation generation system that use character's facial expression and gesture to delivery emotion excitably and clearly than only speaking. Michel[1] investigated interview movies of a person whose gesturing style they wish to animate and suggested gesture generation graph for stylized gesture animation. In this paper, we make focus to analyze and abstracted emotional gestures of Disney animation characters and did 3D modeling of these emotional gestures expanding Michel[1]'s research. To express emotion of person, suggests a emotion gesture generation graph that reflects emotion flow graph express emotion flow for probability. We investigated user reaction for research the propriety of suggested system and alternation propriety.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.4
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• pp.256-261
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• 2007

Electroencephalographic(EEG) is used to record activities of human brain in the area of psychology for many years. As technology developed, neural basis of functional areas of emotion processing is revealed gradually. So we measure fundamental areas of human brain that controls emotion of human by using EEG. Hands gestures such as shaking and head gesture such as nodding are often used as human body languages for communication with each other, and their recognition is important that it is a useful communication medium between human and computers. Research methods about gesture recognition are used of computer vision. Many researchers study Emotion Recognition method which uses one of EEG signals and Gestures in the existing research. In this paper, we use together EEG signals and Gestures for Emotion Recognition of human. And we select the driver emotion as a specific target. The experimental result shows that using of both EEG signals and gestures gets high recognition rates better than using EEG signals or gestures. Both EEG signals and gestures use Interactive Feature Selection(IFS) for the feature selection whose method is based on the reinforcement learning.

• Journal of the Ergonomics Society of Korea
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• v.31 no.6
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• pp.757-764
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• 2012

Objective: The aim of this study is to find the optimal values of sliding factors which influence the mechanical emotion of users when they use sliding type mobile phones. Background: There are various researches that study the emotion of using mobile phones. They focus the correlation between emotion words and design factors and use the commercial products by the subjects in the experiment. However, it has a limit in finding the optimal point of emotional factors because we can search the restricted values in the mass production of the products. Therefore, we will find the optimal points by realizing the full range of the user's mechanical emotion. Method: First, we need to get the detailed factors which can describe the mechanical emotion in sliding up and down the mobile phone. Next, we find the control factors by considering the correlation between the factors of the sliding emotion and the possibility of quantitative design. To find the optimal points on the control factors, we make a sliding evaluation system which can help users feel the sliding mechanical emotion by realizing control factors. Finally, we find the optimal points by doing the experiment the system being used. Results: The critical values of the factors which are the main variables of this study are Open Max Force and Dead point Ratio. The optimal point of the Open Max Force is 200~250g/f, and the Dead point Ratio is 40~50%. Conclusion: In this study we develop the sliding evaluation system to realize the control factors of the sliding type phone and find the optimal values of the critical factors. Application: The results can be used as the criteria for designing sliding type phone.

• Journal of the Korea Society of Computer and Information
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• v.21 no.9
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• pp.57-63
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• 2016

The purpose of the study is to investigate the preference by emoticon types according to the gender of sender, emotion types of message and intimacy with the recipient. Results show that women mostly prefer to use dynamic and imaged emoticon than men. However, the preference of using text messages increases when both men and women express uncomfortable emotion. Especially, when users send family messages, they tend to prefer for text message. And when users send close friends messages, the preference for dynamic and imaged emoticon is high. When users send distant friends messages, the similar tendency is shown regardless of emotion. These results can provide the information to use emoticon in the filed of education and take advantage in digital education and mobile education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.1
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• pp.155-161
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• 2014

This study presents the real-time emotion image contents player to induce the user's emotion efficiently. The emotion image contents player was designed to efficiently induce by giving a change in the color, brightness, saturation of image contents corresponded to the user's emotion. In the emotion recognition module, physiological signal of pulse, skin temperature, skin resistance which based on autonomic nervous system were used. The emotion recognition part used physiological signal of pulse, skin temperature, skin resistance based on autonomic nervous system. The image as emotional contents was used with the 9 kinds emotion area classified in international affective picture system(IAPS). As experimental results, the use's emotion that match the image's emotion with the emotion image contents player was derived 10% more accurately. The emotion contents player is expected to increase emotional feeling between users's emotion and contents emotion duo to the real-time emotion reflection.

• The Research Journal of the Costume Culture
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• v.22 no.5
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• pp.794-808
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• 2014

This research aimed to examine the effect of emotional dissonance and emotional intelligence on the prosocial behavior of fashion salespeople in department stores, and whether emotional intelligence mediates the relationship between emotional dissonance and prosocial behavior. Moreover, we aimed to suggest a method to improve the prosocial behavior of salespeople as a strategy to obtain a continuous competitive advantage in an increasingly competitive fashion distribution environment. This research was conducted through a questionnaire survey, and 345 responses were collected from department store salespeople for the final analysis. First, the analysis results showed that the emotional dissonance of salespeople arose from their dealings with their organization and with customers. Prosocial behavior was deduced to be a factor of the cooperation with coworker and extra-role customer service. The emotional intelligence was deduced to be a factor of the use of emotion, regulation of emotion, self-emotion appraisal, and others'emotion appraisal. Second, with a higher level of emotional dissonance against the organization, there was less cooperation with coworker, while a higher emotional dissonance against customers resulted in increased cooperation with coworker. Third, it appeared that with a higher level of emotional dissonance against the organization, there was a higher utilization of use of emotion, self-emotion appraisal, and others'emotion appraisal of emotional intelligence. Fourth, as the regulation of emotion, self-emotion appraisal, and use of emotion were higher, there was more cooperation with coworker, whereas an increase in the utilization of one's own emotion and emotional control resulted in a higher level of extra-role customer service. Finally, emotional intelligence has a significant mediating effect between emotional dissonance and prosocial behavior. The above results suggest that for department stores to improve the prosocial behavior of their sales staff requires the establishment of a method to enhance the emotional intelligence of the staff. The results also indicate that there is a need for department stores to prepare a systemic tool to enable them to select people with a high degree of emotional intelligence when recruiting salespeople.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.447-453
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• 2003

Emotion Technology is used in many field such as computer A.I., graphics, robot, and interaction with agent. We focus on the theory, the technology and the features in emotion application. Firstly in the field of theory, there are psychological approach, behavior-based approach, action-selection approach. Secondly in the field of implementation technologies use the learning algorithm, self-organizing map of neural network and fuzzy cognition maps. Thirdly in the field of application, there are software agent, agent robot and entrainment robot. In this paper, we research the case of application and analyze emotion architecture.