• Korean Journal of Child Studies
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• v.38 no.1
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• pp.127-138
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• 2017

Objective: This study examined differences in preschoolers' prosocial decision-making, emotion understanding in prosocial dilemmas based on the age and emotional conditions of a counterpart child, and the effects of emotion understanding on preschoolers' prosocial decision-making. Methods: The participants were 114 children (35 3-year-olds, 39 4-year-olds, and 40 5-year-olds). Each child was presented individually with prosocial dilemma tasks and was asked to make decisions and understand emotions (in prosocial and desire-fulfilled situations) based on the emotional conditions of a counterpart child. Results: First, the 4- and 5-year-olds showed more prosocial decision-making in prosocial dilemmas than the 3-year-olds. Prosocial decision-making was significantly lower when the counterpart child was angry, rather than neutral or sadness. Second, in prosocial situations, the 5-year-olds displayed higher positive emotion understanding scores than the 3-year-olds, And in desire-fulfilled situations, the 3-year-olds showed positive emotion understanding, whereas the 4- and 5-year-olds showed negative emotion understanding. Finally, children were more inclined toward prosocial decision-making when they showed higher emotion understanding in prosocial situations, lower emotion understanding in desire-fulfilled situations, and greater age. These were equal to all emotional conditions of the counterpart child. Conclusion: These results suggest that emotion understanding is an important component of social cognition, which effects preschoolers' prosocial decision-making.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.101-102
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• 2011

• Asia pacific journal of information systems
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• v.11 no.4
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• pp.175-186
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• 2001

Though people frequently rely on intuition in managing activities, they rarely use it in developing effective decision-making support systems. In this report, we investigate the correlations between characteristics of cognition and emotion and judgmental time-series forecasting accuracy, and compare their strengths by using a self-supervised adaptive neural network. Through the experiments, we hope to help find a desirable atmosphere for decision-making. Our experiments showed that both cognition characteristics and emotion characteristics had correlations with the time-series forecasting accuracy, and that cognition characteristics had larger correlation than emotion characteristics. We also found that conceptual style had larger correlation than behavioral or analytical styles with the accuracy.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.188-194
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• 2019

Always, emotion is mutant. This is principle of literary treatment. In the literature, sadness is not sadness, and 'loving emotion' is not 'loving emotion.' Despite loving of our, loving is sadness. Also loving is to cry. This crying becomes love. This study is to show the mutant emotion which is to be able to code Deep Learning AI. We explored the Sijo "Streams that cried last night", because this Sijo was useful to study mutant emotion. The result was that this Sijo was coding the mutant emotion. Almost continuously, the sadness codes were spawning and concentrating. So this Sijo was making the emotion of love with the sadness. If this study is continued, It is believed that our lives will be much happier. And the method of literary therapy will be able to more upgrade.

• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.555-570
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• 2011

In order to do morally right behavior that we cognitively know, prosocial moral motivation is necessary. Previous studies revealed emotion is important for prosocial moral motivation. This was supported by cognitive neuroscience studies using functional magnetic resonance imaging(fMRI) in which the activity of ventral striatum(VS) was observed when people made moral decision. VS was originally known as the core area of reward process but recently VS was found to respond also to social reward and even feeling of prosocial emotion itself. However it is not clear why VS was activated when people experience prosocial moral sentiments. The aims of this review article were to find situations in which people are prosocially and morally motivated and to understand more about the role of emotion as a moral motivator by examining evidence regarding the neural network, including VS, of prosocial moral motivation and moral decision-making.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.101-106
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• 2005

In this paper, we propose a behavior decision model for a robot, which is based on artificial emotion, various motivations and dynamic personality. Our goal is making a robot which can express its emotion human-like way. To achieve this goal, we applied several emotion and personality theories in psychology. Especially, we introduced the concept of dynamic personality model for a robot. Drawing on this concept, we could make a behavior decision model so that the emotion expression of the robot has adaptability to various environments through interactions between human and the robot.

• Korean Journal of Child Studies
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• v.33 no.6
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• pp.1-19
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• 2012

The purpose of this study was to develop an intervention program for the improvement of the emotion regulation of 5-year-olds and to analyze the effects of this program on their emotion regulation and social behavior. The participants consisted of 56 5-year-olds from two day care center located in a metropolitan area of Korea. The experimental group (n=28) participated in the intervention program, and the comparative group (n=28) did not. This intervention program was developed to deal with peer relationships, and consists of activities designed to cover all domains of the Korean National Early Education Standard. The emotion regulation and social behavior were measured before and after the experiment. The data were analyzed making use of ANCOVA. Our results indicate that this program had the effect of improving the emotion regulation and social behavior on the part of 5-year-olds.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.311-320
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• 2007

Interrogative sentences are generally used to perform speech acts of directly asking a question or making a request, but they are also used to convey such speech acts indirectly. In the utterances, such indirect uses of interrogative sentences usually carry speaker's emotion with a negative attitude, which is close to an expression of anger. The identification of such negative emotion is known as a difficult problem that requires relevant information in syntax, semantics, discourse, pragmatics, and speech signals. In this paper, we argue that the interrogatives used for indirect speech acts could serve as a dominant marker for identifying the emotional attitudes, such as anger, as compared to other emotion-related markers, such as discourse markers, adverbial words, and syntactic markers. To support such an argument, we analyze the dialogues collected from the Korean soap operas, and examine individual or cooperative influences of the emotion-related markers on emotional realization. The user study shows that the interrogatives could be utilized as a promising device for emotion identification.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.8
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• pp.904-912
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• 2003

This study for‘Head Image’, which is affected by individual Image, is via fashion collection to analyze formative feature, fashion emotion and meaning structure of emotion and to inquire into correlation. I will offer fundamental data, which is can use Image making from the state of thing. First, to make charm and personal image, if we consider Head image well, it will very effective by the reason that personality and charm operate as important factors in fashion sensibility of Head Image. Second, we can know Head Image has more strong influence the part of emotion than fashion sensibility by showing that the sense of emotion is higher than this point of view of fashion sensibility in Head Image. Third, As a result of the correlation of fashion sensibility and emotion in Head Image, personal Head Image is effective to attract public gaze by causing negative emotion, and attractive Head Image is effective to give pleasant feeling by causing positive emotion. Forth, Avant-garde, Punk, Kitsch Image were estimated as the most personal things and Romantic, Ethnic Image were estimated as the most attractive things of the type of Head Image. Natural Image was estimated as the most feminine thing, and Elegant Image was estimated as the most mature thing. Fifth, when we look into the different appraisals between experts and amateurs about fashion sensibility and emotion of Head Image, a selection of experts are used to peculiar and strong Head Image, so amateurs respond it more sensitively and highly evaluate.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.10
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• pp.1364-1369
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• 2018

Speech emotion recognition, which aims to classify speaker's emotional states through speech signals, is one of the essential tasks for making Human-machine interaction (HMI) more natural and realistic. Voice expressions are one of the main information channels in interpersonal communication. However, existing speech emotion recognition technology has not achieved satisfactory performances, probably because of the lack of effective emotion-related features. This paper provides a survey on various features used for speech emotional recognition and discusses which features or which combinations of the features are valuable and meaningful for the emotional recognition classification. The main aim of this paper is to discuss and compare various approaches used for feature extraction and to propose a basis for extracting useful features in order to improve SER performance.