• 제어로봇시스템학회논문지
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• 제19권6호
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• pp.513-519
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• 2013

The current vision-based approaches for emotion recognition, such as facial expression analysis, have many technical limitations in real circumstances, and are not suitable for applications that use them solely in practical environments. In this paper, we propose an approach for emotion recognition by combining extrinsic representations and intrinsic activities among the natural responses of humans which are given specific imuli for inducing emotional states. The intrinsic activities can be used to compensate the uncertainty of extrinsic representations of emotional states. This combination is done by using PRMs (Probabilistic Relational Models) which are extent version of bayesian networks and are learned by greedy-search algorithms and expectation-maximization algorithms. Previous research of facial expression-related extrinsic emotion features and physiological signal-based intrinsic emotion features are combined into the attributes of the PRMs in the emotion recognition domain. The maximum likelihood estimation with the given dependency structure and estimated parameter set is used to classify the label of the target emotional states.

• 한국의류학회지
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• 제31권8호
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• pp.1273-1285
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• 2007

The purpose of this study is to understand consumer emotion about T-shirts web pages and to provide the basis for effective design plan of them. 72 T-shirts web pages through 62 sites have been chosen as stimulus pictures, and the valuation tools are composed of 21 pairs of image adjective and 3 questions for valuation of consumption emotion. Data has been collected on subjects of 480 men and women at the age of $16{\sim}27$ who live in Busan. The image factors are Aestheticism, Activeness, Stability, Intimacy. The types of T-shirts web pages are classified into four groups. The image according to the type of T-shirts web pages has showed meaningful differences in all factors, and the differences of image factors according to design elements have been meaningfully presented. In the relation between consumption emotion and image of T-shirts web pages, Impulse needs, Buying needs, Recommendation needs are related to Aestheticism factor and Stability factor. The consumption emotion according to the type of T-shirts web pages is appeared high in the type 2(Refine image) and 3(Vivid image). The valuation of consumption emotion according design elements has presented meaningful differences all design elements except menu.

• 가정과삶의질연구
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• 제22권5호
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• pp.197-210
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• 2004

The Purpose of this study was to explore the effects of differentiation, emotion over involvement(expressed emotion), and criticism between middle-or-old aged parent and child, by relation of emotional system, on child's psychological depression. The subject of this study were m premarital adult children over 30 years old. The major findings of this study were as follows. First. it was found that mother-child differentiation was more perceptive than that of father-child. With psychological depression, expressed emotion within family and criticism were shown average score that was lower than middle score. Second, among demographic characteristics, there are significant differences premarital adult children's sex, education, income, family type, father's education, and parents' marital status. Third, as the result of regression analysis, the higher level of psychological depression when the lower differentiation between parent-child, the higher expressed emotion over involvement within family and criticism. Based on the findings in this study, the relation of emotional system is very important. Therefore, it is necessary to consider the therapeutic intervention and relation improvement program when individual and family counseling about parent-child are going on.

• 한국컴퓨터정보학회논문지
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• 제25권4호
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• pp.79-86
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• 2020

본 논문에서는 비등방성 특징 기반의 다익스트라 알고리즘(Dijkstra algorithm)을 이용한 효율적인 감성 완화 프레임워크를 제안한다. 감성을 완화시키는 것은 감성 분석만큼이나 중요하며, 사람의 우울함이나 외로움을 자동으로 완화시켜줄 수 있는 프레임워크로써 인간과 컴퓨터의 상호작용(HCI, Human-Computer Interaction)측면에서도 매우 중요한 의미를 갖는다. 본 논문에서는 1) 마이크로소프트의 Emotion API를 이용하여 얼굴 표정으로부터 변화하는 감정값을 계산하고, 2) 이 감정값의 차이를 이용하여 우울이나 외로움 같은 이상 감정을 인지한다. 3) 마지막으로, 감성 히스토그램과 비등방성 특성을 고려한 감정 메시 기반의 매칭 과정을 거침으로써 사용자에게 완화된 감성이 내포된 이미지들을 제시해준다. 본 논문에서 제안하는 기법은 얼굴 영상을 이용하여 사용자가 쉽게 감성의 변화를 인지하고, 완화된 감성으로 감정을 트레이닝 할 수 있는 시스템이다.

• 대한건축학회논문집:계획계
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• 제34권3호
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• pp.3-10
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• 2018

The purpose of this study is to suggest the direction and recognition for applying to component of Emotion of the elementary school space with characteristics of child development. For the accomplishment of the study is to deduce types of emotional component and characteristics of child development based on literature and advanced research related to 'Child development and behavior', 'The elementary school space', and concept of 'children' and 'emotion'. In addition, The level of recognition of teachers and students about creation plan of school space by types of emotion component and preference and relationships of students on emotion component of elementary school space is investigated. The space environment has great influence in childhood going through big changes in physical, cognitive, emotional and social ways, Providing space environment built with emotion component such as 'affordance', 'diversity', 'territoriality', and 'relationships' considering characteristics of child development is most important of all, In particular, when building indoor space in elementary schools where students going through various development stages live, providing friendly environments for emotion of children put top priority on students in the decision-making process and guaranteed the participation of students is expected.

• 공학교육연구
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• 제27권1호
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• pp.50-62
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• 2024

This study examined how emotion regulation strategies specifically function in the interpersonal conflict coping strategies of engineering students. For this purpose, a interpersonal conflict coping strategies and emotion regulation strategies scale was used for 548 engineering students. Multiple regression analysis was conducted. Among the emotion regulation strategies, the "return to body" strategy was related to understanding, validation, focusing, and the "stop action" strategy. In particular, the "stop action" strategy was closely related only to the "return to body" strategy. Among interpersonal conflict coping strategies, the dominating strategy used both positive emotion regulation strategies, such as high refocus on planning, and negative emotion regulation strategies, such as other-blame. Additionally, among negative conflict coping strategies, it was confirmed that both aggression and negative emotional expression, which seem to have similar attributes, share a common feature of having high difficulty in emotional clarity. However, in the case of negative emotional expression, it is characterized by a lack of putting into perspective and high other-blame. On the other hand, the agression strategy seemed to have different characteristics, such as high self-blame and low return to body. By investigating the relationship between interpersonal conflict coping strategies and specific emotion regulation strategies, this study provides implications for education and intervention on which specific emotion regulation strategies need to be cultivated for engineering students to improve their interpersonal conflict resolution capabilities.

• 한국콘텐츠학회논문지
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• 제14권4호
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• pp.287-296
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• 2014

국내 시장에서 카카오톡, 라인, 윗챗 등 다양한 모바일 메신저 서비스들이 시장 점유율을 높이고자 노력하고 있다. 그래서 본 연구에서는 모바일 메신저 서비스 환경에서 사용자들의 충성도 형성 매커니즘을 이해하고자 한다. 사용자 충성도를 태도적 충성도와 행동적 충성도로 구별하였으며, 행동적 충성도의 선행 요인으로 태도적 충성도와 IT 전문 지식을 고려하였다. 그리고 인지된 유용성과 감정이 태도적 충성도에 미치는 영향을 살펴보았다. 1년 이상 카카오톡을 사용 경험이 있는 235명의 사용자들을 대상으로 제안한 연구 모형을 검증하였으며, PLS를 활용하여 데이터를 분석하였다. 본 연구 분석 결과, 태도적 충성도와 IT 전문 지식은 행동적 충성도에 유의한 영향을 미치고 있음을 확인할 수 있었다. 또한, 인지된 유용성과 긍정적 감정은 태도적 충성도에 양으로 영향을 미치지만, 부정적 감정은 음으로 영향을 미침을 밝혀내었다. 본 연구 결과를 통해, 모바일 메신저 서비스 제공 업체들이 사용자 충성도 향상을 위한 매커니즘을 이해하는데 도움을 줄 수 있을 것으로 기대된다.

• 대한인간공학회지
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• 제30권6호
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• pp.705-713
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• 2011

Objective: The aim of this study is to compare results of emotion recognition by several algorithms which classify three different emotional states(happiness, neutral, and surprise) using physiological features. Background: Recent emotion recognition studies have tried to detect human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 217 students participated in this experiment. While three kinds of emotional stimuli were presented to participants, ANS responses(EDA, SKT, ECG, RESP, and PPG) as physiological signals were measured in twice first one for 60 seconds as the baseline and 60 to 90 seconds during emotional states. The obtained signals from the session of the baseline and of the emotional states were equally analyzed for 30 seconds. Participants rated their own feelings to emotional stimuli on emotional assessment scale after presentation of emotional stimuli. The emotion classification was analyzed by Linear Discriminant Analysis(LDA, SPSS 15.0), Support Vector Machine (SVM), and Multilayer perceptron(MLP) using difference value which subtracts baseline from emotional state. Results: The emotional stimuli had 96% validity and 5.8 point efficiency on average. There were significant differences of ANS responses among three emotions by statistical analysis. The result of LDA showed that an accuracy of classification in three different emotions was 83.4%. And an accuracy of three emotions classification by SVM was 75.5% and 55.6% by MLP. Conclusion: This study confirmed that the three emotions can be better classified by LDA using various physiological features than SVM and MLP. Further study may need to get this result to get more stability and reliability, as comparing with the accuracy of emotions classification by using other algorithms. Application: This could help get better chances to recognize various human emotions by using physiological signals as well as be applied on human-computer interaction system for recognizing human emotions.

• 융합정보논문지
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• 제11권11호
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• pp.115-124
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• 2021

본 연구는 고객의 텀블러활용 경험과 사회적 정당성의 관계에 대한 고객감정의 매개역할을 실증적으로 확인하였다. 이를 위하여 텀블러를 활용하는 소비자들을 대상으로 설문조사하여 자료를 수집하였다. 가설검증은 구조방정식모형분석법을 활용하였으며, 추가적으로 고객경험과 사회적 정당성의 매개효과를 검증하기 위하여 Hoyle and Smith이 제안한 방법을 사용하였다. 실증분석 결과는 다음과 같다. 첫째, 고객경험은 고객감정과 사회적 정당성에 긍정적인 영향을 미치는 것으로 나타났다. 둘째, 고객감정은 사회적 정당성에 긍정적인 영향을 미치는 것으로 나타났다. 본 연구는 고객의 텀블러 활용경험, 고객감정, 사회적 정당성의 관계를 탐색적으로 제안하고, 사회적 정당성에 대하여 고객경험과 고객감정이 선행요인 역할을 할 수 있다는 것으로 실증적으로 확인하였다는데 의미가 있다.

• 우울조울병
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• 제9권2호
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• pp.78-86
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• 2011

Objectives : The aim of this study was to investigate relationship between perceived stress level, cognitive emotion regulation (CER) strategy and hope in group with high depressive symptom and higher-level perceived stress (H-H) and group with high depressive symptom and lower-level perceived stress (H-L) in patients with depression. Method : A total of 85 patients (over score of 16 by Beck depression Inventory; BDI) were surveyed with Cognitive emotion regulation questionnaire (CERQ), Perceived stress scale (PSS), and The state hope scale (SHS). Mean scores of CERQ and SHS were compared between relatively higher perceived stress and lower perceived stress groups. Correlation analysis and multiple linear regression analyses were performed to identify the effect of BDI, PSS and CER strategy on SHS in two groups. Results : In ANOVA, the level of hope and maladaptive CERQ score proved to be significantly lower among the H-H group than among the H-L group, while adaptive CERQ scores were not. In Regression analysis, the effective CER strategy in SHS were 'Refocus on planning' in H-H group, while it was 'Acceptance' CER strategy in H-L group. The final regression model explained 36% of the variance of SHS in H-H group and explained 21% of SHS in H-L group. Conclusion : These findings suggest that 'Refocus on planning' and 'Acceptance' cognitive emotion strategy are helpful in promotion of state hope on depression. Especially, 'Refocus on planning' strategy is more effective in high depressive symptom and high-perceived stress level, while 'Acceptance' strategy help to promote hope in high depressive symptom and low-perceived stress level in patients with depression.