• Journal of Information Technology Services
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• v.15 no.1
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• pp.211-226
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• 2016

Most of the SNS users argue that they feel techno-stress or digital fatigue when they use SNS. As the relationships in the SNS expand, users may feel work overload, digital fatigue, and techno-stress which are caused by the time and effort for the retaining the existing relationships established via SNS. The SNS activities require users' time and effort to update their profiles and the current news of them, responding to online friends' contents. Thus, more relationships they have, more stress they can feel. This study tries to examine the key factors that can affect subjective well-being of individuals in Social Network Service (SNS) usage. Therefore, this study, based on the previous literature, investigates what the sources of SNS stress are and how SNS stress and flow affect subjective well-being of SNS users. Major findings of this study from an empirical analysis with 201 SNS user respondents who have accessed SNS at least one time within one month are as follows. First, perceived opportunity cost and reputation recognition in SNS usage were found to have significant effects on negative emotion. Second, individual's flow in SNS was significantly affected by challenges and interactions, and had a significant impact on positive emotion. However, SNS users' flow did not show a positive relationship with their satisfaction of life. This study contributes to the expansion of theoretical discussion about the effect of individual's SNS usage on quality of life in validating whether SNS usage can bring individuals subjective well-being. Implications of the study findings and future research directions are also discussed.

• Journal of Information Technology Applications and Management
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• v.21 no.3
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• pp.53-64
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• 2014

It is important to keep learners' feeling positive during learning to enhance learning performance. According to flow theory,challenge-skill balance is a precondition for flow experience: Learners feel anxiety when the challenge of learning is higher than their ability, feel boredom when the challenge of learning is lower than learners' ability, and engage in flow status when the challenge of learning matches the learners' ability. However, the current empirical study reveals that emotions related to enjoyment may appear when the learners' skill is equal to or higher than the learning challenge. Nevertheless, boredom emotion may appear when learners perceive the courses are difficult but unimportant. These empirical survey results revealed the necessary of rethinking the appearance of boredom and enjoyment emotions in computer education.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.03a
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• pp.285-289
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• 1999

본 논문에서는 고차 뇌 정보처리연구의 일환으로서, 통신 및 정보이론 분야에서 신호간의 확률적 상관성을 나타내는 지표로 많이 활용되는 상호정보(mutual information)를 이용하여 청각자극을 받은 뇌파의 정보이동(information flow)을 분석하였다. 청각자극에 따른 뇌파의 정보이동을 분석한 결과, 자극에 따른 각 상태에서의 확률적 관계의 흐름에 차이가 있음을 볼 수 있었다.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.512-517
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• 2011

In this paper, we propose an Active Shape Model (ASM) and Lucas-Kanade (LK) optical flow-based feature extraction and analysis method for analyzing the emotional features from facial images. Considering the facial emotion feature regions are described by Facial Action Coding System, we construct the feature-related shape models based on the combination of landmarks and extract the LK optical flow vectors at each landmarks based on the centre pixels of motion vector window. The facial emotion features are modelled by the combination of the optical flow vectors and the emotional states of facial image can be estimated by the probabilistic estimation technique, such as Bayesian classifier. Also, we extract the optimal emotional features that are considered the high correlation between feature points and emotional states by using common spatial pattern (CSP) analysis in order to improvise the operational efficiency and accuracy of emotional feature extraction process.

• The Journal of Korean Medical History
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• v.18 no.2
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• pp.55-62
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• 2005

In "Lingshu Benshen". five vicera are damaged due to changes in emotion having qi flow opposite to five viscera. As a result, it suggests that mental and physical illness could develop. The content of this piece can be explained in relation to five elements but uniformly through qi's flow. The contents can be summarized as follows. 1. The Heart is fire among the five elements and mainly characterized with dispersing. The flow of its qi is characterized facing upward and outward. On the other hand, being afraid or thinking seriously is characterized by making qi to go downward and stop so that the flow of qi is mainly facing toward inward and downward, damaging the heart. 2. The spleen has the conveyance function and spreads qi. On the other hand, worry and emotion inhibit qi function, blocking qi, damaging the spleen. 3. The liver has dispelling and removing functions and the power of sending up. The qi flow goes toward upward and outward. On the other hand, sadness stagnates qi, preventing the flow of liver's qi, damaging the liver. As a result, work is not done accurately. Madness develops with heat accumulated with qi stagnation. When qi is not sending up, mentality is not clear, leading to forgetfulness. 4. The lung has astringent and sending down functions, lowering qi. On the other hand, happy and joyful emotions bring up qi, showing the opposite flow of qi compared with the lung, damaging the lung. 5. The kidney has closing and storing functions, making qi flow to downward and inward. On the other hand, being angry makes qi to go up. Excessive expression of anger damages the kidney. As a result, the yin function of kidney does not work properly, leading to forgetfulness.

• 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.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.177-186
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• 2018

The mechanism of emotion is complex and influenced by a variety of factors, so that it is crucial to analyze emotion in broad and diversified perspectives. In this study, we classified neutral and negative emotions(sadness, fear, surprise) using arousal evaluation, which is one of the psychological evaluation scales, as well as physiological signals. We have not only revealed the difference between physiological signals coupled to the emotions, but also assessed how accurate these emotions can be classified by our emotional recognizer based on neural network algorithm. A total of 146 participants(mean age $20.1{\pm}4.0$, male 41%) were emotionally stimulated while their physiological signals of the electrocardiogram, blood flow, and dermal activity were recorded. In addition, the participants evaluated their psychological states on the emotional rating scale in response to the emotional stimuli. Heart rate(HR), standard deviation(SDNN), blood flow(BVP), pulse wave transmission time(PTT), skin conduction level(SCL) and skin conduction response(SCR) were calculated before and after the emotional stimulation. As a result, the difference between physiological responses was verified corresponding to the emotions, and the highest emotion classification performance of 86.9% was obtained using the combined analysis of arousal and physiological features. This study suggests that negative emotion can be categorized by psychological and physiological evaluation along with the application of machine learning algorithm, which can contribute to the science and technology of detecting human emotion.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.11a
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• pp.62-68
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• 2000

The aim of the study was to compare effects of music and white noise on the recovery of facial blood flow parameters after stressful visual stimulation. Twenty-nine subjects participated in the experiment. Three visual stimulation sessions with aversive slides (the IAPS, disgust category) were followed by subjectively "pleasant" (in the first session), "sad" music (in the second ), and white noise (in the third ). Order of sessions was counterbalanced. Blood flow parameters (peak blood flow, blood flow velocity, blood volume) were recorded by Laser Doppler single-crystal system (LASERFLO BPM 403A) interfaced through BIOPAC 100WS with AcqKnowledge software (v.3.5) and analyzed in off-line mode. Aversive visual stimulation itself decreased blood flow and velocity in all 3 sessions. Both "pleasant" and "sad" music led to the restoration of baseline levels in all blood flow parameters, while noise did not enhance recovery process. Music on post-stress recovery had significant change in peak blood flow and blood flow velocity, but not in blood volume measures. Pleasant music had bigger effects on post-stress recovery in peak blood flow and flow velocity than white noise. It reveals that music exerted positive modulatory effects on facial vascular activity measures during recovery from negative emotional state elicited by stressful slides. Results partially support the undoing hypothesis of Levenson (1994), which states that positive emotions may facilitate process of recovery from negative emotions.

• Science of Emotion and Sensibility
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• v.4 no.2
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• pp.39-45
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• 2001

This study was conducted to identify the structure of the sensibility and autonomic nervous responses to odor by ages. 72 participants, 24 each in their teens, twenties, and thirties were given odor stimuli, cederwood, grapefruit, teebaum, peppermint, rose. During the presentation of stimuli, participant were measured blood flow, skin temperature, skin conductance, and ECG and subjective emotion to each odor were evaluated, Five factors, aesthetic, intensity, naturality, uniqueness, and romantism were identified but there were no differences by ages. Emotional factors that predict the preference to certain odors turned out partly different by ages. However, odors that made participants feel sick created more autonomic nervous response than odors that made them feel good.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4285-4295
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• 2013

The purpose of this study was to investigate the effect of participation motivation on exercise emotion and psychological well-being of marathon participants. The subjects of this study consisted of 241 marathon participants. The result of this study were as follows. First, the subscales of participation motivation, enjoyment, achievement and excitement positively influenced to fun, vigor, pride, achievement, catharsis. And skill development positively influenced to vigor, pride, achievement, catharsis. And external display positively influenced to vigor but, affiliation negatively influenced to vigor, achievement, and catharsis. And amotivation negatively influenced to fun, vigor, pride, catharsis. Second, the subscales of participation motivation, skill development and enjoyment positively influenced to feeling of flow, feeling of competence, feeling of self-realization, hedonic enjoyment. achievement and excitement positively influenced to feeling of flow and hedonic enjoyment, external display positively influenced to feeling to flow. And amotivation negatively influenced to feeling of self-realization and hedonic enjoyment. Third, the subscales of exercise emotion, pride positively influenced to feeling of flow, feeling of competence, feeling of self-realization, hedonic enjoyment. And vigor positively influenced to feeling of flow and hedonic enjoyment. And fun positively influenced to feeling of competence and feeling of self-realization. And achievement positively influenced to hedonic enjoyment.