• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.33-36
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• 1997

This paper describes an image design process for product development based on human sensibility ergonomics.. The human sensibility about product image can be measured through some statistical methods and translated into product design factors by some mathematical inference logics. This results also can be presented by 3D computer graphic tools, In order to integrate the above processess, a image design process on human sensibility database. Human sensibility database is constructed with the relational ddta of some adjective words and design factors, The next step is to extract the design information from the human sensibility dataabase by fuzzy inference algouithm. This information is used for the input data for the graphic presentation. The final product can be modified according to the customer's requirement.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.29.2-29
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• 2001

For the design of human-centered systems in which a human and machine such as a robot form a human-in system, human-friendly interaction/interface is essential. Human-friendly interaction is possible when the system is capable of recognizing human biosigns such as5 EMG Signal, hand gesture and facial expressions so the some humanintention and/or emotion can be inferred and is used as a proper feedback signal. In the talk, we report our experiences of applying the Soft computing techniques including Fuzzy, ANN, GA and rho rough set theory for efficiently recognizing various biosigns and for effective inference. More specifically, we first observe characteristics of various forms of biosigns and propose a new way of extracting feature set for such signals. Then we show a standardized procedure of getting an inferred intention or emotion from the signals. Finally, we present examples of application for our model of rehabilitation robot named.

• Korean Journal of Human Ecology
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• v.16 no.3
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• pp.455-463
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• 2007

The purpose of this study was to compare Korean mothers' and fathers' reactions to their children's negative emotions. The survey with questionnaire was performed with 179 mothers and 179 fathers of children aged three to five-years-old from three child care centers in Seoul and Kyoungki Province. Parental emotion-related practices regarding children's negative emotions were assessed with an adaptation of the CCNES-R(Cortes, 2002), and parental reactions were categorized as problem-focused, emotion-focused, expressive encouragement, emotion-teaching, punitive, parental distress and minimizing. The main results were as follows. First, Korean mothers and fathers, in general, used more positive reactions than negative reactions when their children showed negative emotions, in particular problem-focused reactions were mostly used. In addition, Korean mothers were significantly higher than fathers on problem-focused and emotion-teaching reactions. Second, Korean mothers' and fathers' reactions to their children's negative emotions were significantly different depending on the educational level of mothers, mothers' job and fathers' job. But there was no significant differences in parent's reactions according to children's sex and age. The findings in this study provide implication for an association between parent's reactions to children's negative emotions and parent's socioeconomic background.

• Korean Journal of Human Ecology
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• v.24 no.5
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• pp.645-661
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• 2015

The purpose of this study was to investigate the effects of socio-demographic variables, adult attachment and emotion regulation style on psychological well-being of university students. We conducted a survey on 318 university students in Cheongju-si and Hongseong gun. T-test, Pearson' productive correlation, hierarchical regression analysis were used. The results were as follows: First, there was a significant difference in emotion regulation style according to university student's sex. In other words, females used more support-seeking style than males did. Second, male university students' psychological well-being was high at more active style, less anxiety attachment and avoidant/distractive style, older students, less avoidance attachment, and higher economic status. Third, female university students' psychological well-being was high at less avoidant/distractive style and more active style, older students, less anxiety attachment, and more support-seeking style. In conclusion, emotion regulation style was the strongest factor to increase university student's psychological well-being among other variables. The implications and limitations of this study were discussed.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.6
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• pp.710-715
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• 2003

In this paper, we propose the new emotion recognition method for intelligently recognizing the human's emotion using the template vector and neural network. In the proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). The proposed method is based on the template vector extraction and the template location recognition by using the color difference. It is not easy to extract the skin color area correctly using the single color space. To solve this problem, we propose the extraction method using the various color spaces and using the each template vectors. And then we apply the back-propagation algorithm by using the template vectors among the feature points). Finally, we show the practical application possibility of the proposed method.

• Proceedings of the IEEK Conference
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• summer
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• pp.92-96
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• 2004

The researches of the emotions are currently great interest in speech processing as well as in human-machine interaction domain. In the recent years, more and more of researches relating to emotion synthesis or emotion recognition are developed for the different purposes. Each approach uses its methods and its various parameters measured on the speech signal. In this paper, we proposed using a short-time parameter: MFCC coefficients (Mel­Frequency Cepstrum Coefficients) and a simple but efficient classifying method: Vector Quantification (VQ) for speaker-dependent emotion recognition. Many other features: energy, pitch, zero crossing, phonetic rate, LPC... and their derivatives are also tested and combined with MFCC coefficients in order to find the best combination. The other models: GMM and HMM (Discrete and Continuous Hidden Markov Model) are studied as well in the hope that the usage of continuous distribution and the temporal behaviour of this set of features will improve the quality of emotion recognition. The maximum accuracy recognizing five different emotions exceeds $88\%$ by using only MFCC coefficients with VQ model. This is a simple but efficient approach, the result is even much better than those obtained with the same database in human evaluation by listening and judging without returning permission nor comparison between sentences [8]; And this result is positively comparable with the other approaches.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2036-2038
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• 2001

In this paper, we propose the neural network based emotion recognition method for intelligently recognizing the human's emotion using vision system. In the proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). Also, we use R,G,B(red, green, blue) color image data and the gray image data to get the highly trust rate of feature point extraction. For this, we propose an algorithm to extract four feature points (eyebrow, eye, nose, mouth) from the face image acquired by the color CCD camera and find some feature vectors from those. And then we apply back-prapagation algorithm to the secondary feature vector(position and distance among the feature points). Finally, we show the practical application possibility of the proposed method.

• Journal of the Korean Society of Food Culture
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• v.22 no.1
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• pp.32-42
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• 2007

The purpose of this study was to investigate how menu quality, human ${\cdot}$ amenity service quality, perceived risk affected quality ${\cdot}$ price menu value, social ${\cdot}$ emotion menu value and how quality ${\cdot}$ price menu value and social ${\cdot}$ emotion menu value influenced satisfaction. Also this study investigated how satisfaction affected loyalty. The model was tested in hotel restaurants settings of five-star hotels using a sample of customers visiting and enjoying menus in Daegu metropolitan city and Gyeongju city. Empirical results confirmed that not only do menu quality and human ${\cdot}$ amenity service quality increase quality ${\cdot}$ price menu value and social ${\cdot}$ emotion menu value but that perceived risk reduces social ${\cdot}$ emotion menu value. It was also found that significant antecedents of satisfaction were quality ${\cdot}$ price menu value and social ${\cdot}$ emotion menu value. Also, loyalty was also found to be a significant consequences of satisfaction.

• Journal of Haehwa Medicine
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• v.22 no.2
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• pp.1-12
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• 2014

The Sasang constitutional Medicine is the original medicine that is created from the deep studies on former Eastern medical theories by Lee Jae-Ma in the late 19th century. This medicine deals with the interaction between mind and body in great depth. The temperament (the distinct nature and character of an individual, 性情) concept is the theoretical basis which divides man's constitution into four(Taeyangin, Taeumin, Soyangin and Soumin). This concept is derived from The old oriental Sung-Myung concept which has philosophical meaning. These terms of Sung and Jung also have metaphysical meaning and can not be explained easily. but roughly, The temperament is divided two concept. the distinct nature(性) means human's nature and the distinct nature(情) means human's desire. Besides, In Sasang constitution medicine, terms that traditionally represent emotions in asia are used as terminology of temperament. Altough too many aspects about Human's mind remains unknown yet, According to Neurological evidences, the brain is regarded as the main organ that produces rationality and emotion. Especially the way that brain produces an emotion provides some clues that can tell us how can mind affect body. Emotion is considered as evolutionary adaptation to response correctly against unexpected chaotic external changes. It is something that humans are born with, and causes physical responses simultaneously. Moreover, It can be come out with or without consciousness. The temperament(性情) concept and Emotion have similarity that both play an important role in mind-body correlation. Therefore Neurological researches on emotion were able to help reinterpret temperament(性情) concept. the distinct nature(性) seems to be the emotion that is come out directly from the brain stem, and the distinct nature(情) seems to be the emotion that is produced after neocortex involved thinking process. And the reason why Sung and Jung affect organs differently is explained from the manner that brain expresses emotion.

• Science of Emotion and Sensibility
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• v.15 no.4
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• pp.575-584
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• 2012

Decades of psychological research have shown that emotion brings users various kinds of physical and psychological advantages and disadvantages. Moreover, this also impacts human decision-making. However, in spite of the weight of emotion, combined with HCI, relevant research is still insufficient. We hypothesized that the user's temporal emotion could influence the product evaluation, especially in terms of product usability. Two studies were carried out to investigate the effect of induced priming on user evaluations. In exp1, we manipulated participants' temporal emotions using positive and negative images from IAPS. In our results, we saw image priming had a statistically significant effect, with the positive condition group giving the product high ratings for usability. In exp2, emotional image manipulation was conducted with valence and arousal. As a result, we found that the variables of valence and arousal had some interaction effects. These studies have demonstrated that temporally induced emotion could affect users' emotion in different ways, in addition to influencing product evaluations.