• Title/Summary/Keyword: understanding of emotions

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Understanding the Conception of Stress regard in the Oriental Medicine (스트레스의 개념에 대한 한의학적 해석)

  • Ahn, Sang-Woo
    • Korean Journal of Oriental Medicine
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    • v.3 no.1
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    • pp.119-151
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    • 1997
  • Conclusions for the relationship between a conceptional model of stress theory and its examination based on the Oriental medicine; 1. It was considered that a general conception of stress is included into the meaning of Ki in the Oriental medicine. 2. The response-based model to stress could be comparable to a conception of Ki-pathogens interchange In the Onental medicine. 3. The stimulus-based model may be explained as a modern conception of immoderation feeling related with an internal etiological factor, specially injury of seven emotions, among three groups of etiological factors for disease. 4. The feedback conception based on the interaction model could explain the principal of reversible emotion therapy in the nine Ki. 5. In the Oriental medicine, a study to clarify a emotional etiologic factor and its pathophysiologlcal mechanism has been continued for long time before establishment of stress theory.

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Paying Back to Good Deeds: A Text Mining Approach to Explore Don-jjul as Pro-consumption Behavior

  • Hojin Choo;Sue Hyun Lee
    • Asia Marketing Journal
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    • v.26 no.2
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    • pp.104-128
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    • 2024
  • More consumers are choosing pro-consumption for social change, but scholars know little about why and how consumers engage in pro-consumption behaviors. A newly emerged pro-consumption behavior called "Don-jjul," which appeared during the COVID-19 pandemic in South Korea, refers to compensating businesses that have engaged in altruistic actions by boosting their sales. This study used Latent Dirichlet Allocation (LDA) of topic modeling, sentiment analysis, and in-depth interviews to investigate the perceptions, motivations, and emotions regarding Don-jjul. As a result, the study revealed pro-consumers' perceptions of Don-jjul as "collective pro-consumption for contributing to social well-being." Don-jjul has two main motives: "supporting underdogs with difficulties" and "compensating good businesses economically." We also found two ambivalent emotions evoked by Don-jjul: "respect for good business owners" and "concerns regarding the misuse of Don-jjul." The results contribute to pro-consumption research for social well-being, providing business opportunities for retailers and CSR managers with a deep understanding of pro-consumers.

Conflict-Overcoming and Self-Discovering: A Study of Caleb, the Protagonist in Steinbeck's Novel "East of Eden" (갈등의 극복과 자아의 발견; 스타인벡의 소설 "에덴의 동쪽"의 주인공 갈렙(Caleb)에 근거한 연구)

  • Kim, Wooyoung
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.427-436
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    • 2024
  • In this paper, we present the results of a study of lessons learned from the life of Caleb (Cal), a significant character in John Steinbeck's "East of Eden." His life serves as a powerful example of the process of self-discovery, overcoming conflicts with self, others, and society. He emphasizes the importance of managing and understanding your emotions, learning to acknowledge and express them throughout your journey. He makes moral judgments while confronting desires and conflicts, and transparently demonstrates the importance of self-determination based on ethical decisions, while his honest expression and acceptance of his own emotions emphasizes the core value of emotion management and understanding. Additionally, his story emphasizes the clear importance of understanding and compromise in human relationships. We present a thorough exploration of these topics and consider how the lessons from Caleb's story can be applied to our everyday lives. As a result of the analysis in this paper, we expect to gain insight into how these lessons can be applied and put into practice.

Engine of computational Emotion model for emotional interaction with human (인간과 감정적 상호작용을 위한 '감정 엔진')

  • Lee, Yeon Gon
    • Science of Emotion and Sensibility
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    • v.15 no.4
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    • pp.503-516
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    • 2012
  • According to the researches of robot and software agent until now, computational emotion model is dependent on system, so it is hard task that emotion models is separated from existing systems and then recycled into new systems. Therefore, I introduce the Engine of computational Emotion model (shall hereafter appear as EE) to integrate with any robots or agents. This is the engine, ie a software for independent form from inputs and outputs, so the EE is Emotion Generation to control only generation and processing of emotions without both phases of Inputs(Perception) and Outputs(Expression). The EE can be interfaced with any inputs and outputs, and produce emotions from not only emotion itself but also personality and emotions of person. In addition, the EE can be existed in any robot or agent by a kind of software library, or be used as a separate system to communicate. In EE, emotions is the Primary Emotions, ie Joy, Surprise, Disgust, Fear, Sadness, and Anger. It is vector that consist of string and coefficient about emotion, and EE receives this vectors from input interface and then sends its to output interface. In EE, each emotions are connected to lists of emotional experiences, and the lists consisted of string and coefficient of each emotional experiences are used to generate and process emotional states. The emotional experiences are consisted of emotion vocabulary understanding various emotional experiences of human. This study EE is available to use to make interaction products to response the appropriate reaction of human emotions. The significance of the study is on development of a system to induce that person feel that product has your sympathy. Therefore, the EE can help give an efficient service of emotional sympathy to products of HRI, HCI area.

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Component Analysis for Constructing an Emotion Ontology (감정 온톨로지의 구축을 위한 구성요소 분석)

  • Yoon, Ae-Sun;Kwon, Hyuk-Chul
    • Korean Journal of Cognitive Science
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    • v.21 no.1
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    • pp.157-175
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    • 2010
  • Understanding dialogue participant's emotion is important as well as decoding the explicit message in human communication. It is well known that non-verbal elements are more suitable for conveying speaker's emotions than verbal elements. Written texts, however, contain a variety of linguistic units that express emotions. This study aims at analyzing components for constructing an emotion ontology, that provides us with numerous applications in Human Language Technology. A majority of the previous work in text-based emotion processing focused on the classification of emotions, the construction of a dictionary describing emotion, and the retrieval of those lexica in texts through keyword spotting and/or syntactic parsing techniques. The retrieved or computed emotions based on that process did not show good results in terms of accuracy. Thus, more sophisticate components analysis is proposed and the linguistic factors are introduced in this study. (1) 5 linguistic types of emotion expressions are differentiated in terms of target (verbal/non-verbal) and the method (expressive/descriptive/iconic). The correlations among them as well as their correlation with the non-verbal expressive type are also determined. This characteristic is expected to guarantees more adaptability to our ontology in multi-modal environments. (2) As emotion-related components, this study proposes 24 emotion types, the 5-scale intensity (-2~+2), and the 3-scale polarity (positive/negative/neutral) which can describe a variety of emotions in more detail and in standardized way. (3) We introduce verbal expression-related components, such as 'experiencer', 'description target', 'description method' and 'linguistic features', which can classify and tag appropriately verbal expressions of emotions. (4) Adopting the linguistic tag sets proposed by ISO and TEI and providing the mapping table between our classification of emotions and Plutchik's, our ontology can be easily employed for multilingual processing.

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Exploring the Pre-service Science Teachers' Emotional Experience, Display Rules, and Controlling Strategies During Teaching Practice (교육실습과정에서 나타난 예비과학교사의 감정 경험과 감정 표현 규칙, 조절 전략의 탐색)

  • Kim, Heekyong;Lee, Narea
    • Journal of The Korean Association For Science Education
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    • v.36 no.2
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    • pp.231-251
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    • 2016
  • The goal of the study was to examine pre-service teachers' emotional experiences, especially during student teaching. The following questions guided this study. First, during student teaching, what are the characteristics of emotional experiences of pre-service science teachers? Second, what are used as the emotional rules and strategies by student teacher? In this study, we tracked nine pre-service science teachers over a four-week period of the student teaching. The data sources were lesson observations, interviews, emotional journals, and video-recorded classroom lessons. Results showed that student teachers experienced various 25 different types of emotions which were reported as the primary emotions of Koreans. The main subjects for interaction for positive emotions were students. For negative emotions, students, teachers and student teachers themselves all resulted in such negative emotional experiences. When the student teachers experienced negative emotions, they followed the emotional rule that their emotions should not be expressed in front of the students. Because of this, they tried various strategies for controlling emotions, such as 'understanding students', 'finding the positive side', 'seeing good students', 'ignoring', 'holding back', 'evading', and 'giving up'. Finally, suggestions for teacher education were discussed.

A Study on Consumption Emotion of the Appearance Management Behaviors in University Students (남녀대학생의 외모관리행동에 관한 소비감정 연구)

  • Lee, Je Sung;Lee, June Young
    • Fashion & Textile Research Journal
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    • v.19 no.6
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    • pp.712-722
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    • 2017
  • Attention to appearance is a common concern for all. Images created by appearance play an important role in judging people in terms of social life in contemporary society. This study investigated general behaviours of appearance management behaviours of both male and female college students, and categorised consumption emotion experienced by appearance management. In this regards, it was examined how consumers' psychological mechanism of consumption emotions influences consumers' satisfaction and their behavioural intentions. The main results are as follows: First, female students invest more time and money into appearance management compare to male students and have a higher level of attention. Secondly, both male and female students experience a variety of consumption emotions in appearance management behaviours. According to gender, female students show a higher level of positive and negative consumption emotions than male students. Thirdly, there are five emotional types (Confidence, Annoyance, Refreshment, Enjoyment, Anxiety) as the result of the consumption emotional typology in terms of appearance management behaviours of male and female university students. Fourthly, there are different emotional groups which influence consumers' satisfaction or behavioural intention according to gender in appearance management behaviour. In general, emotional groups such as 'Confidence, Delight and Anxiety' have a positive influence on consumers' satisfaction and behavioral intention, and 'Annoyance' composed of negative emotions have negative influence. In this respect, this research can contribute to beauty product development and marketing strategy with reflecting consumption emotion, and better understanding of consumption culture of university students which plays a pivotal role in appearance management behavior.

AI Chatbot-Based Daily Journaling System for Eliciting Positive Emotions (긍정적 감정 유발을 위한 AI챗봇기반 일기 작성 시스템)

  • Jun-Hyeon Kim;Mi-Kyeong Moon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.105-112
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    • 2024
  • In contemporary society, the expression of emotions and self-reflection are considered pivotal factors with a positive impact on stress management and mental well-being, thereby highlighting the significance of journaling. However, traditional journaling methods have posed challenges for many individuals due to constraints in terms of time and space. Recent rapid advancements in chatbot and emotion analysis technologies have garnered significant attention as essential tools to address these issues. This paper introduces an artificial intelligence chatbot that integrates the GPT-3 model and emotion analysis technology, detailing the development process of a system that automatically generates journals based on users' chat data. Through this system, users can engage in journaling more conveniently and efficiently, fostering a deeper understanding of their emotions and promoting positive emotional experiences.

The Effects of Emotion Understanding on Preschoolers' Prosocial Decision-Making Based on the Emotional Conditions of a Counterpart Child (상대유아의 정서조건에 따른 유아의 정서이해가 친사회적 의사결정에 미치는 영향)

  • Kim, Min Jeong;Lee, Kangyi
    • 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.

The Influence of Negative Emotion to Cortical Activity Induced by Auditory Verbal Imagery in Patients with Schizophrenia (정신분열병 환자에서 부정적 감정이 청각적 언어상상에 의해 유발된 대뇌 피질 활성에 미치는 영향)

  • Lee, Hong-Shick;Kim, Ji-Woong;Kim, Yully
    • Korean Journal of Biological Psychiatry
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    • v.7 no.2
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    • pp.174-179
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    • 2000
  • Objectives : Cognitive psychological models propose that auditory hallucinations arise from a problem with monitoring one's auditory verbal imagery. Most auditory hallucinations are derogatory in content and accompany negative emotions. If auditory verbal imagery plays an critical role in the pathogenesis of auditory hallucination, it must be influenced by negative emotions. This study was aimed at understanding the influence of negative emotions on the development of hallucinations by investigating the way by which negative emotions have influence on cortical activity induced by auditory verbal imagery. Methods : For both normal subjects and patients with schizophrenia, quantitative electroencephalography(Q-EEG) was applied during the auditory verbal imagery tasks using a two word list. The one word list accompanied negative emotion and the other accompanied neutral emotions. The difference of EEG activity between two tasks was compared by paired t-test. We also compare the difference of the influence of negative emotions between normal subjects and patients with schizophrenia Results : In normal subjects, amplitude of beta wave was increased in temporal area such as TCP1, and, the amplitude of theta frequency wave was decreased in right hemisphere such as FP2, F4, C4, CP2, P4. But, in the schizophrenia group, there were no significant differences. Conclusion : These results may suggest that auditory verbal imagery with negative emotion requires more activation in left temporal area, but, appropriate activation may not achieved in schizophrenia patients. So, the possibility that the resultant disturbance of verbal self monitoring may be related to auditory hallucination is suggested in this study.

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