• Archives of design research
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• v.14 no.2
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• pp.67-76
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• 2001

Children's Picture Book is the literature with which children face for the first time as a form of close harmony between text and picture. The picture book shows what is happening and also what may happen mn the children's surroundings and takes great Influence on their creativity, thinking ability, emotion, and Intellectual ability by delivering affluent story through the pictures. The color expressed in the children's picture book is as much important as other formative elements such as shape and texture, and the expression of color on the basis of color emotion is much more Important In that It appeals to the children's feeling. The color which is expressed through the illustration of children's picture book conveys distinctly the motion and feeling of characters who are expressed un the picture book as well as distinction of theme and background and expresses persuasively the whole process of plot and atmosphere so that it might convey various emotions such as delight, sorrow, pleasure, wonder, and fear to children. This thesis alms at analyzing various effects of color contrast, process of color, hue variation, and use of color according to the atmosphere of each cut and the process of plot by selecting the children's picture books which were published abroad and home on the basis of color concept, emotion, and image association which children feel In order to Investigate and analyze the symbolism of color and emotional effect expressed through the illustration of children's picture book, and presenting a direction of color use to produce high-level children's picture book with illustrators individuality and artistry.

• Journal of Korean Philosophical Society
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• v.123
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• pp.281-307
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• 2012

In the modern society, we have come to recognize human emotions such as anxiety, fear, pain, anger, sadness, longing, desire and pleasure as important topics of philosophy. How shall we study the 'problem of emotions', or in a bigger sense, the 'problem of empathy'? With this critical mind, the research into empathy can be called as a starting point for studying the deepest feelings and thoughts of human beings in connection with the feelings of other people. Most of all, in order to understand other people and to understand human being itself, the role of sympathy or empathy has been emphasized among the problems of emotions, and this trend is especially distinctive in the philosophy of psychology. I definitely acknowledge that empathy or sympathy takes loneliness and agony away from a human being and therefore it is the starting point of communication between people. However, the very fundamental question of 'what are human beings, and who are they?' is once again reminded. In other words, this thesis focuses on the fact that humans are viewed not only as the existence with a soul or heart, but also as a "unique existence" containing something "material-, life- and spiritual", and in that sense, this world is an ecological organism that contains organic connections of humans, material things, plants and animals, which should be the point of view for approach. And it is also emphasized in this study to approach the question about human beings from the religious spirituality point of view that the society with true love for neighbors could be achieved through religious practices that provide principles and value.

• Phonetics and Speech Sciences
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• v.14 no.3
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• pp.77-86
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• 2022

In this study, we reported the validation results of the Korean Affective Voice Database (KAV DB), an affective voice database available for scientific and clinical use, comprising a total of 113 validated affective voice stimuli. The KAV DB includes audio-recordings of two actors (one male and one female), each uttering 10 semantically neutral sentences with the intention to convey six different affective states (happiness, anger, fear, sadness, surprise, and neutral). The database was organized into three separate voice stimulus sets in order to validate the KAV DB. Participants rated the stimuli on six rating scales corresponding to the six targeted affective states by using a 100 horizontal visual analog scale. The KAV DB showed high internal consistency for voice stimuli (Cronbach's α=.847). The database had high sensitivity (mean=82.8%) and specificity (mean=83.8%). The KAV DB is expected to be useful for both academic research and clinical purposes in the field of communication disorders. The KAV DB is available for download at https://kav-db.notion.site/KAV-DB-75 39a36abe2e414ebf4a50d80436b41a.

• (The) Korean Journal of Advertising
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• v.28 no.2
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• pp.7-25
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• 2017

The previous studies regarding prosocial behavior have been researched based on donors' personal traits and the effects of donees emotions. However, studies in identifying the effects of regulatory focus as motivational traits and the emotions resulting from donees' expression on prosocial behaviors have not been researched as much thoroughly. Specifically, consumers with prevention-focus perceive fit as the goal attainability process by avoiding negative factors. Thus, it is expected that the intentions of doing a charitable deed greater will more increase when the donees look sad than when they look happy. On the other hand, consumers with promotion-focus perceive fit as the consequential benefits of goal attainability when they are in the condition of a positive emotion. As a result, the intention of doing a charitable deed is expected to be increased greater when the donees have happier faces than sad faces. According to the experimental results, consumers with prevention focus more intended to do a charitable deed when the donees' expression was presented with a sad expression by mediating sadness. On the contrary, consumers with promotion focus show higher intention of doing a charitable deed when the donees looked happier by mediating happy feelings. This study has a theoretical meaningfulness in respect to expanding previous research concerning regulatory focus into donation contexts. Furthermore, this study has practical implications by presenting the donation strategies on information presentations of donees.

• Journal of the Korea Computer Graphics Society
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• v.22 no.5
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• pp.37-47
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• 2016

This study evaluate user feedback such as physiological response and facial expression when subjects play a social decision making game with interactive virtual agent partners. In the social decision making game, subjects will invest some of money or credit in one of projects. Their partners (virtual agents) will also invest in one of the projects. They will interact with different kinds of virtual agents which behave reciprocated or unreciprocated behavior while expressing socially affective facial expression. The total money or credit which the subject earns is contingent on partner's choice. From this study, I observed that subject's appraisal of interaction with cooperative/uncooperative (or friendly/unfriendly) virtual agents in an investment game result in increased autonomic and somatic response, and that these responses were observed by physiological signal and facial expression in real time. For assessing user feedback, Photoplethysmography (PPG) sensor, Galvanic skin response (GSR) sensor while capturing front facial image of the subject from web camera were used. After all trials, subjects asked to answer to questions associated with evaluation how much these interaction with virtual agents affect to their appraisals.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.6
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• pp.821-827
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• 2009

Human emotion can be reflected by their facial expressions. So, it is one of good ways to understand people's emotions by recognizing their facial expressions. General recognition system of facial expressions had selected interesting points, and then only extracted features without analyzing physical meanings. They takes a long time to find interesting points, and it is hard to estimate accurate positions of these feature points. And in order to implement a recognition system of facial expressions on real-time embedded system, it is needed to simplify the algorithm and reduce the using resources. In this paper, we propose a real-time recognition algorithm of facial expressions that project the grid points on an expression space based on Gabor wavelet feature. Facial expression is simply described by feature vectors on the expression space, and is classified by an neural network with its resources dramatically reduced. The proposed system deals 5 expressions: anger, happiness, neutral, sadness, and surprise. In experiment, average execution time is 10.251 ms and recognition rate is measured as 87~93%.

• (The)Study of the Eastern Classic
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• no.66
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• pp.193-226
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• 2017

This writing establishes identity of JinSeBaek, a male protagonist from a classical novel Hajinyangmunrok, through examining his relationship with a female character named HaOkJu. The character JinSeBaek was analyzed with attachment theory. JinSeBaek is a type of character who openly expresses his emotions. The evidence that JinSaeBaek falls in love with HaOkJu at a first sight was mainly shown through his physical affection with her. After the breakup, JinSeBaek expresses sadness, depression, and anger, as well as sheds tears. Although JinSeBaek repeatedly breaks up and gets back together with HaOkJu, JinSaeBaek consistently shows his desire to be with HaOkJu. Expressing true emotions was not ideal characteristic for men in this era. JinSaeBaek develops attachment to HaOkJu after he loses his parents, whom he has previously developed attachment to, but repeated break ups with HaOkJu leads to separation anxiety. Although his separation anxiety is caused by HaOkJu, it is also HaOkJu who can resolve the anxiety. The fact that JinSaeBaek honestly expresses his emotions and develops abnormal attachment to woman makes JinSaeBaek unique from other male protagonists. A character like JinSaeBaek is not common in other fictional novels or romance novels as well. Thus, JinSaebaek is claimed to be extraordinary character in literature.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.159-167
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• 2018

As the popularity of single-person media content increases, We investigated the causal relationship between perceived value and intention to recommend to others. Individuality was studied on the tendency to sensation seeking and novelty seeking, which is a tendency to take boredom sensitive to monotonous and repetitive daily routines, and novelty seeking refers to new information and stimuli. The hypothesis was that high sensation seeking and high novelty seeking would perceived emotional value, epistemic value, and economic value for a single person 's media content. Hypothesis testing was performed using multiple regression analysis using SPSS21. As a result of the hypothesis test, The novelty seeking has a positive effect on emotional value, epistemic value, and economic value. Users who want to explore and enjoy new things could perceived the emotional value of having fun, fun, and sadness through single-person content, perceived a epistemic value and enjoy new information and situations as a tool to recognize new stimuli and know what they didn't know. And it could be seen that users perceive the economic value that they can enjoy at low cost or free service. The sensation seeking has a significant effect on epistemic value, but it did not affect emotional value and economic value significantly. Those who have a high tendency to sensation seeking can perceive curiosity about one-person media contents, so that they can perceive epistemic value. However, those who feel that they have not significant influence on economic value and emotional value can easily understand that expecting one's content does not feel bored by paying for a low cost or free service.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.537-540
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• 2005

본 논문에서는 사람의 감정, 건강상태, 정신상태등 다양한 정보를 포함하고 있는 웃음, 슬픔, 졸림, 놀람, 윙크, 무표정 등의 표정을 인식하기 위한 표정의 특징이 되는 얼굴의 국부적 요소인 눈과 입을 검출하여 표정의 특징을 추출한다. 표정 특징의 추출을 위한 전체적인 알고리즘 과정으로는 입력영상으로부터 칼라 정보를 이용하여 얼굴 영역을 검출하여 얼굴에서 특징점의 위치 정보를 이용하여 국부적 요소인 특징점 눈과 입을 추출한다. 이러한 특징점 추출 과정에서는 에지, 이진화, 모폴로지, 레이블링 등의 전처리 알고리즘을 적용한다. 레이블 영역의 크기를 이용하여 얼굴에서 눈, 눈썹, 코, 입 등의 1차 특징점을 추출하고 누적 히스토그램 값과 구조적인 위치 관계를 이용하여 2차 특징점 추출 과정을 거쳐 정확한 눈과 입을 추출한다. 표정 변화에 대한 표정의 특징을 정량적으로 측정하기 위해 추출된 특징점 눈과 입의 눈과 입의 크기와 면적, 미간 사이의 거리 그리고 눈에서 입까지의 거리 등 기하학적 정보를 이용하여 6가지 표정에 대한 표정의 특징을 추출한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.360-363
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• 2018

Human activity is influenced by various factors, from individual physical features such as vertebral flexion and pelvic distortion to feelings such as joy, anger, and sadness. However, the nature of these behaviors changes over time, and behavioral characteristics do not change much in the short term. The activity data of a person has a time series characteristic that changes with time and a certain regularity for each action. In this study, we applied LSTM, a kind of cyclic neural network to deal with time - series characteristics, to the technique of recognizing activity type and improved recognition rate of activity type by measuring time and parameter optimization of components of LSTM model.