• Title/Summary/Keyword: Emotional States

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A Study on the method of child instruction in "Sa So Jeol" ("사소절"에 나타난 아동훈육법 고찰)

  • 류점숙
    • Journal of the Korean Home Economics Association
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    • v.25 no.4
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    • pp.141-152
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    • 1987
  • The book of Sa So Jeol is about the moral training family precepts written by Yi Deok-mu (이덕무, 1739~1793) in the year of king Young Jo 51th in the Yi dynasty. The writer provides us, according to the views of Confucianists, with the principles that both elders and children of that time should abide by in the daily life, dividing the said books into 924 sections, 8 chapters, and 2 volumes. The parts concerned with children are studied in this essay. The brief conclusions are as follows. 1. Children were required to have the mental attitudes of honesty, patience, tolerance and frugality and were instructed to show such attitudes through their behavior. 2. Children were instructed to have the behavioral attitudes of nine aspects, which are the behavioral characteristics of the sages. They were instructed to emulate the personal characters of the sages through being possessed of these nine aspects, which are to be found in healthy and comfortable mental states. 3. Children were instructed to be careful and composed, in their activities. Since prudence is the basic principle of mental and behavioral attitudes, being required of men and women of all ages in a traditional society, it was emphasized from early childhood 4. The aim of instruction was taken to be becoming human, or becoming a virtuous man, rather than merely passing the classical government examamination, and for this aim the moral rules, which can be considered the order of human relations, were taught intensively. 5. As for instructional methods, the children were required to do careful or rough reading according to their abilities, and were instructed to listen to lectures politely, prudently, ardently and honestly. 6. The instructional contents are for the purpose of making children read the classical canons after increasing their perceptive ability in the various things of the sexagenary cycle, the multipicative method, the kings, lineage, and the reign-titles, and the accumulated knowledge of $\ulcorner$Kyung Mong Yo Kyul$\lrcorner$, $\ulcorner$Seong Hak Jeop Yo$\lrcorner$ and $\ulcorner$Keun Sa Lok$\lrcorner$. Because of the greater emphasis on natural talents rather than on acquired abilities, the children, however, were eudcated only after their despositions were examined. 7. The children were required to have warm-hearted, careful, polite, and prudent attitudes toward their elders, and were instructed to take precauticns against arrogance and impoliteness. Since politeness in particular was considered not only as the ground of decorum but the method of emotional regulation and maintaining composure for confucianists, it can be regarded as the principal ettiquettee demanded in all activities. 8. The main instructional contents are generally moral aspects, concentrating on introspection and virtuous conduct through emotional regulations, rather than on the natural expression of physical and mental states.

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North Korean Defectors' Adaptation to South Korean Society: Their Emotional States, Social Media Use, and Life Satisfaction (북한이탈주민의 사회적응: 정서적 상태, 소셜 미디어 이용 그리고 남한생활 만족도)

  • Min, Hee
    • Informatization Policy
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    • v.25 no.2
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    • pp.67-83
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    • 2018
  • This study explores how social media influences individual's social development and well-being. Social media is discussed as an effective tool when individuals lacking social and psychological resources are trying to expand their social networks. This study focuses on the social media use of North Korean defectors, who, in general, have closed social media networks in the South Korean society. This study tries to analyze empirically the effect of social media use on North Korean defectors' satisfaction with our society. In particular, this study focuses on how the use of social media influences satisfaction with their life in South Korea at different levels of their emotional states. This study explores that the relationship between social media and satisfaction with their life in South Korea varies based upon the degree of self-esteem and anxiety. This study expects that social media might provide greater benefits for those who are experiencing low self-esteem and high anxiety. In addition, this study conducts the same analysis for the general public and then compares its results with the survey on North Korean defectors. According to the results of North Korean defectors' survey, the impact of social media use on satisfaction with their life in South Korea was greater for those with high anxiety than for those with low anxiety. Meanwhile, the impact was greater for those with high self-esteem than for those with low self-esteem.

The differences of comfort food depending on various emotions : focused on gender difference (대학생들의 정서에 따른 컴포트 푸드의 차이: 성차를 중심으로)

  • Kim, Ji-Ye;Lee, Sang-Hee
    • Science of Emotion and Sensibility
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    • v.17 no.3
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    • pp.15-28
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    • 2014
  • This research was performed to identify the components and types of comfort foods and to verify gender differences on choosing comfort food in various emotional states. The total of 425 Korean college students participated in this study. The results are as follows. First, most students rated foods that give warmth and relaxation, foods that are reminiscent of happy memories, food that tastes good, were rated as types of comfort foods. On the other hand, external condition and fast food were less likely to be rated as a comfort food. Second, male students reported meat dishes, stew or soup, and alcohol as comfort foods whereas female students reported stew or soup, fruit or vegetable, and meat dishes as comfort foods. Third, the students chose different comfort food in different emotional states. In negative emotions, most students chose alcohol, chocolate, hot (spicy) food, and drinks as a comfort food. But in positive emotions, most students chose chicken as comfort foods. While male students chose alcohol as high ranking comfort food, female students chose various foods as their comfort food. The limitations of this study and suggestions for future studies were discussed.

Development and Practical Application of a Psychological Skill Training Program for National Wheelchair Curling Players -Frontal EEG Asymmetry (휠체어컬링 국가대표선수의 경기력 향상을 위한 심리기술훈련 프로그램의 개발 및 적용 -EEG 뇌파활용 연구)

  • Kim, Sung-Woon;Choi, Seok Lip;Kim, Han-Cheol
    • Journal of the Korea Convergence Society
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    • v.10 no.3
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    • pp.275-290
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    • 2019
  • The present study aimed to develop a sports psychological skill training program and to test its applicability to improve the performance of national wheelchair curling players. A total of 4 participants completed the study. Subjects have been to 12 sessions of 6 different psychological skills training programs (routine training, attentional focus training, writing practice training in diary, relation training, self-control training, and positive self-talk training). The effectiveness of psychological skills training has been evaluated with 6 questionnaires and EEG measurement. The result was that psychological skills training had improved coping with adversity, peaking under pressure, and concentration, self-management and reduced anxiety of Korean national wheelchair curling player. The result was that the EEG inter-hemispheric asymmetry index showed negative emotional states before psychological skill training but positive emotional states after. The result implies that psychological skill training plays an important mediating role in bringing about positive effects in the psychological elements and competitiveness in national wheelchair curling players.

Enhancing Empathic Reasoning of Large Language Models Based on Psychotherapy Models for AI-assisted Social Support (인공지능 기반 사회적 지지를 위한 대형언어모형의 공감적 추론 향상: 심리치료 모형을 중심으로)

  • Yoon Kyung Lee;Inju Lee;Minjung Shin;Seoyeon Bae;Sowon Hahn
    • Korean Journal of Cognitive Science
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    • v.35 no.1
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    • pp.23-48
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    • 2024
  • Building human-aligned artificial intelligence (AI) for social support remains challenging despite the advancement of Large Language Models. We present a novel method, the Chain of Empathy (CoE) prompting, that utilizes insights from psychotherapy to induce LLMs to reason about human emotional states. This method is inspired by various psychotherapy approaches-Cognitive-Behavioral Therapy (CBT), Dialectical Behavior Therapy (DBT), Person-Centered Therapy (PCT), and Reality Therapy (RT)-each leading to different patterns of interpreting clients' mental states. LLMs without CoE reasoning generated predominantly exploratory responses. However, when LLMs used CoE reasoning, we found a more comprehensive range of empathic responses aligned with each psychotherapy model's different reasoning patterns. For empathic expression classification, the CBT-based CoE resulted in the most balanced classification of empathic expression labels and the text generation of empathic responses. However, regarding emotion reasoning, other approaches like DBT and PCT showed higher performance in emotion reaction classification. We further conducted qualitative analysis and alignment scoring of each prompt-generated output. The findings underscore the importance of understanding the emotional context and how it affects human-AI communication. Our research contributes to understanding how psychotherapy models can be incorporated into LLMs, facilitating the development of context-aware, safe, and empathically responsive AI.

A Study on Emotional Characteristics with the CoreSeven-Emotions Inventory (CSEI), Based on Seven Emotions (七情) in Cancer Patients (암 환자의 핵심칠정척도를 활용한 정서적 특성 연구)

  • You, So-Jung;Son, Sung-Eun;Kang, Hyung-Won;Lyu, Yeoung-Su
    • Journal of Oriental Neuropsychiatry
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    • v.27 no.2
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    • pp.119-130
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    • 2016
  • Objectives The Purpose of this study was to conduct a characteristic study on cancer patients using the Core Seven Emotions Inventory (CSEI) followed by a correlation analysis with STAI, STAXI and BDI.Methods This study was conducted by analyzing the medical records of 21 patients who had visited ○○ University Oriental hospital and completed the Core Seven Emotions Inventory (CSEI), BAI, and BDI. A total of 21 patients diagnosed with Cancer were analyzed using SPSS (Statistical Package for the Social Science, IBM, United States of America, Version 22.0). Frequency Analysis, independent t-test, one-sample t-test, and correlation analysis were conducted.Results 1. The Seven Emotion Characteristics of the Cancer patients showed a fairly stable emotional Distribution. The Gong (恐) and Kyeong (驚) emotions were relatively higher than U (憂), Bi (悲), Sa (思), Hui (喜), No (怒). 2. According to Gender, Female patients exhibited higher Sa (思) and Kyeong (驚) emotions while male patients exhibited higher Bi (悲) Emotion. 3. No (怒), U (憂), Bi (悲), Sa (思), Gong (恐), and Kyeong (驚) emotions showed a high correlation with the BDI and BAI scores of cancer patients.

Exploring the Digital Workbook Development for Mind Healing on a Smart Environment (스마트 환경에서의 마음치유용 디지털 워크북 개발을 위한 탐색)

  • Yu, Jeongsu;Hong, Sunmi
    • Journal of The Korean Association of Information Education
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    • v.18 no.4
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    • pp.605-614
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    • 2014
  • Many healing programs regard successful healing as the cure of the presenting physical and emotional problems. To heal present broken heart on a smart environment, we need to know states of mind. We also have to need psychoanalytic healing that cure mind caused. It is necessary to consider a more comprehensive view of healing that incorporates not only physical healing but mental healing. For this, we analyze through retrospective review from existing researches and healing programs. We obtain psychological and emotional factors about negative side effects on a smart environment. Throughout this study we draw upon factors of psychology and emotion to represent pictures by projective methods such as visual representation. That pictures is being used in developing the digital workbook for mind healing. We look at the possibility of psychological therapy from negative side effects causing converts into digital forms which have fixed scales on a smart environment.

Implementation of the Speech Emotion Recognition System in the ARM Platform (ARM 플랫폼 기반의 음성 감성인식 시스템 구현)

  • Oh, Sang-Heon;Park, Kyu-Sik
    • Journal of Korea Multimedia Society
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    • v.10 no.11
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    • pp.1530-1537
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    • 2007
  • In this paper, we implemented a speech emotion recognition system that can distinguish human emotional states from recorded speech captured by a single microphone and classify them into four categories: neutrality, happiness, sadness and anger. In general, a speech recorded with a microphone contains background noises due to the speaker environment and the microphone characteristic, which can result in serious system performance degradation. In order to minimize the effect of these noises and to improve the system performance, a MA(Moving Average) filter with a relatively simple structure and low computational complexity was adopted. Then a SFS(Sequential Forward Selection) feature optimization method was implemented to further improve and stabilize the system performance. For speech emotion classification, a SVM pattern classifier is used. The experimental results indicate the emotional classification performance around 65% in the computer simulation and 62% on the ARM platform.

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Effectiveness of Hotel Convention Employee's Perceived Organizational Support on Empowerment and Organizational Commitment (호텔컨벤션 직원의 조직후원인식이 임파워먼트 및 조직몰입에 미치는 영향)

  • Kim, Gun
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.457-471
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    • 2011
  • This study investigates effect of perceived organizational support which recognized by hotel convention employee on empowerment and organizational commitment from a social exchange relationship point of view. The major findings of this study were follows. First, the result of verification, effect of perceived organizational support which recognized by hotel convention employee, the hypothesis 1-1 and the hypothesis 1-2, operational support, the operational support had no significant effect on meaning, competence factor and effective factor. on the other hand the result of verification the hypothesis 1-3 and the hypothesis 1-4, the emotional support was found to have significantly positive effect on meaning, competence factor and effective factor. furthermore, by analysing the hypothesis 2, which states that the impact of empowerment on organizational commitment, the meaning, competence factor and effective factor as subset of empowerment had significantly positive effect on organizational commitment. finally by analysing the hypothesis 3, the operational support was found to have positive effect on organizational commitment, but emotional support had no significant effect on organizational commitment.

Posture features and emotion predictive models for affective postures recognition (감정 자세 인식을 위한 자세특징과 감정예측 모델)

  • Kim, Jin-Ok
    • Journal of Internet Computing and Services
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    • v.12 no.6
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    • pp.83-94
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    • 2011
  • Main researching issue in affective computing is to give a machine the ability to recognize the emotion of a person and to react it properly. Efforts in that direction have mainly focused on facial and oral cues to get emotions. Postures have been recently considered as well. This paper aims to discriminate emotions posture by identifying and measuring the saliency of posture features that play a role in affective expression. To do so, affective postures from human subjects are first collected using a motion capture system, then emotional features in posture are described with spatial ones. Through standard statistical techniques, we verified that there is a statistically significant correlation between the emotion intended by the acting subjects, and the emotion perceived by the observers. Discriminant Analysis are used to build affective posture predictive models and to measure the saliency of the proposed set of posture features in discriminating between 6 basic emotional states. The evaluation of proposed features and models are performed using a correlation between actor-observer's postures set. Quantitative experimental results show that proposed set of features discriminates well between emotions, and also that built predictive models perform well.