• Journal of Korean Institute of Industrial Engineers
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• v.23 no.3
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• pp.609-619
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• 1997

The concept of human emotion is recently demanded to be imbedded in industrial product and environment for enhancing quality of life. Human emotion is attempted to be qualified and quantified by physiological measurements. EEG variation, one of the physiological measurement, is observed to characterize psychological response in this study. This study is to find function and process of brain according to emotion. Twenty university students participated in this study and experienced positive and negative emotion by auditory stimulus. Delta, theta, alpha and beta waves showed characteristic variation in normalized sense according to positive and negative emotion. Local area showing significant difference between positive and negative emotion decreases with stimulus duration. Delta, theta and beta waves increase with negative emotion while alpha wave does with positive emotion.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.1041-1042
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• 2013

• Journal of Korean Medicine for Obesity Research
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• v.3 no.1
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• pp.75-84
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• 2003

Objective : In Western medicine, the cause of obesity include overeating, lack of exercise, genetic factor, endocrinal impediment and psychological factor. Since the society becomes more complexed and the tensions among social members gets intensified, psychological factor getting more important. In Oriental medicine, Seven Emotion(七情, in oriental medical term) as an emotional stressor was thought to be a factor of obesity. Therefore the purpose of this study is to examine the relationship between Seven Emotion and obesity in detail. Methods : overview the stress with the view of Oriental medicine and research the relationship between Seven Emotion as an emotional stressor and obesity. Results : 1. Seven Emotion can be understood as an emotional stress in Western medicine. If Seven Emotion is excessive, its extreme mental stimulation causes physical illness. 2. Having influence upon the function of internal organs, excessive Seven Emotion causes obesity. Since it hinders normal flow of Gangi(肝氣), Seven Emotion disturbs healthy function of Bi-Wi(脾胃) and normal fluctuation of Qi. Consequently, obesity is resulted from the accumulation of fat since normal metabolism of body is disrupted. 3. In Seven Emotion-Anger(怒), Joy(喜), Anxiety(憂), Thought(思), Sorrow(悲), Fear(恐), Surprise(驚)-give rise to Gan-bi-bul-wha(肝脾不和), Sim-hi-yang-huh(心脾兩虛), Bi-qi-huh(碑氣虛), Dam-sup-jeo-po(痰濕沮胞) and Wi-wha-sang-youm(胃火上炎) in type of symptom in obesity and therefore, cause obesity.

• Korean Journal of Human Ecology
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• v.19 no.2
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• pp.285-294
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• 2010

This study examined the relationship between children's school adjustment and their emotion regulation. The subjects were 122 1st grade students selected from one elementary school in Incheon. Teachers rated each child using the Emotion Regulation Scale (Lee, 1997) and School Adjustment Scale (Chi & Jung, 2006). The data were analyzed by using descriptive statistics, t-test, correlation analysis, and stepwise regressions. The children's emotion regulation and school adjustment were differed by sex of the child. The girls were assessed to be better adapted in emotion regulation and school adjustment than the boys. The children's emotion regulation was positively related to the children's school adjustment. In addition, the children's emotion regulation predicted how well they would adjust to school life.

• The Journal of Korea Robotics Society
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• v.2 no.2
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• pp.119-128
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• 2007

Emotion interaction between human and robot is an important element for natural interaction especially for service robot. We propose a hybrid emotion generation architecture and detailed design of reactive process in the architecture based on insight about human emotion system. Reactive emotion generation is to increase task performance and believability of the service robot. Experiment result shows that it seems possible for the reactive process to function for those purposes, and reciprocal interaction between different layers is important for proper functioning of robot's emotion generation system.

• Journal of the Ergonomics Society of Korea
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• v.23 no.2
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• pp.37-54
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• 2004

Fuzzy theory provides an intelligence treatment model for judgement about information when it needs a solution or a decision making about vague problems. Therefore, fuzzy theory is used for appropriate evaluation and decision on obscure information as human's emotion in human factors, In previous study, fuzzy membership function is defined for judgement infOlmation as human's emotion then ultimate results are deducted through fuzzy inference model. This method uses general CWTent through literature review or max, min and average as representative statics value about considering variables. But, this method makes away with nonlinear's or inegular's factors of human sensibility. Accordingly, application of this method leads to considerable loss of information in the ultimate evaluation. For that reason, this method has a limitation in objective evaluation of human factors. So, this study focuses on development of fuzzy membership function, which evaluates human's emotion or feeling accurately and objectively. We used the regression analysis and reasoned a fuzzy membership function about the relation of the variables. Then we verified the adequacy with the reliability through the experiment after this.

• Design Convergence Study
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• v.16 no.6
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• pp.137-152
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• 2017

This research aims to develop the companion robot experience design for elderly in korea based on needs-function deploy matrix of robot and emotion expression research of robot in multimodal interaction. First, Elder users' main needs were categorized into 4 groups based on ethnographic research. Second, the functional elements and physical actuators of robot were mapped to user needs in function- needs deploy matrix. The final UX design prototype was implemented with a robot type that has a verbal non-touch multi modal interface with emotional facial expression based on Ekman's Facial Action Coding System (FACS). The proposed robot prototype was validated through a user test session to analyze the influence of the robot interaction on the cognition and emotion of users by Story Recall Test and face emotion analysis software; Emotion API when the robot changes facial expression corresponds to the emotion of the delivered information by the robot and when the robot initiated interaction cycle voluntarily. The group with emotional robot showed a relatively high recall rate in the delayed recall test and In the facial expression analysis, the facial expression and the interaction initiation of the robot affected on emotion and preference of the elderly participants.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.327-337
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• 2019

The purpose of the current study was to examine dual mediation effect of executive function deficiencies and adaptive cognitive emotion regulation strategies in the relation of smartphone addiction and subjective well-being and to suggest implications for adult smartphone addiction intervention programs. A self-report survey was conducted to 148 adults(71 males and 77 females) and the mediation effect was evaluated by regression analyses. Key findings are as follows. First, executive function deficiencies showed mediation effect on the relationship between smartphone addiction and adaptive cognitive emotion regulation strategies. Second, significant mediation effect of adaptive cognitive emotion regulation strategies was not found on the relationship between smartphone addiction and subjective well-being. Finally, the relation of smarphone addiction and subjective well-being was mediated by executive function deficiencies and adaptive cognitive emotion regulation strategies. These results imply that it would be helpful to train executive function and foster emotion regulation strategies to the adult smartphone addiction groups. Finally, limitations of this study and suggestions for future research of the entire adult age group were discussed.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.03a
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• pp.255-259
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• 1999

Easy check system for cardiac function was developed for computer user n this study. EKG amplifier was designed to remove a common noise and muscle noise. EKG pattern, and calculated real time heart rate and probability of arrhythmia were displayed in personal computer. This system would be an effective tool for checking cardiac function in everyone using computer.

• Journal of the Ergonomics Society of Korea
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• v.31 no.2
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• pp.271-279
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• 2012

Objective: This study classified three different emotional states(boredom, pain, and surprise) using physiological signals. Background: Emotion recognition studies have tried to recognize human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 122 college students participated in this experiment. Three different emotional stimuli were presented to participants and physiological signals, i.e., EDA(Electrodermal Activity), SKT(Skin Temperature), PPG(Photoplethysmogram), and ECG (Electrocardiogram) were measured for 1 minute as baseline and for 1~1.5 minutes during emotional state. The obtained signals were analyzed for 30 seconds from the baseline and the emotional state and 27 features were extracted from these signals. Statistical analysis for emotion classification were done by DFA(discriminant function analysis) (SPSS 15.0) by using the difference values subtracting baseline values from the emotional state. Results: The result showed that physiological responses during emotional states were significantly differed as compared to during baseline. Also, an accuracy rate of emotion classification was 84.7%. Conclusion: Our study have identified that emotions were classified by various physiological signals. However, future study is needed to obtain additional signals from other modalities such as facial expression, face temperature, or voice to improve classification rate and to examine the stability and reliability of this result compare with accuracy of emotion classification using other algorithms. Application: This could help emotion recognition studies lead to better chance to recognize various human emotions by using physiological signals as well as is able to be applied on human-computer interaction system for emotion recognition. Also, it can be useful in developing an emotion theory, or profiling emotion-specific physiological responses as well as establishing the basis for emotion recognition system in human-computer interaction.