• Research in Community and Public Health Nursing
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• v.30 no.4
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• pp.571-580
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• 2019

Purpose: The purpose of this study is to examine the mediating effects of emotional venting via instant messaging (IM) and positive emotion in the relationship between negative emotion and depression. Methods: Online survey was conducted in Korea between 2 April and 7 April 2019. To obtain samples with representativeness, data were gathered by the professional research firm. A total of 250 Koreans were participated in this study. The collected data were analyzed using descriptive statistics, Pearson's correlation coefficients, and SPSS PROCESS macro to test the mediating effects. Results: This study analyzed the direct/indirect effects of negative emotion on emotional venting via IM, in the relationship between positive emotion and depression. Negative emotion had indirect effects on depression through emotional venting via IM and positive emotion. Both emotional venting via IM and positive emotion had dual mediating effects in the influence of negative emotion on depression. Conclusion: These results suggest that it is important to manage negative emotion to prevent depression. Also, this study confirmed that emotional venting via IM is a powerful factor influencing emotional recovery.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.2
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• pp.213-224
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• 2006

Purpose: This study examined Korean nurses' job attitude (i.e., satisfaction and burnout) regarding the extent to which organization's emotion display rule influences on job attitudes through emotion-related variables (i.e., negative emotion suppress behavior and inauthenticity), thereby examining mediation effects of negative emotion suppress behavior and inauthenticity. Method: Using a survey to nurses working in various general hospitals in Korea, structural equation modeling was adopted. Result: Emotion display rule affected outcome variables but these effects were mostly observed via the two mediators, negative emotion suppress and inauthenticity, which largely supports the research model. Conclusion: Individuals who perceived stronger emotional display rule suppressed more their negative emotion, and also perceived more inauthenticity. In turn, negative emotion suppress behavior only affected job burnout positively. Inauthenticity showed a negative effect on job satisfaction while it had a positive effect on burnout. The study provided directions for future research and practical implications to help nurses' effective job performance.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.11a
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• pp.279-282
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• 2002

자율신경계 반응은 인간의 각성을 측정하는 변수가 될 수 있다(황민철 외, 2001). 본 연구에서는 자율신경계 반응만으로 인간의 2차원 감성 분류를 할 수 있는지를 살펴보았다. 5명의 피험자에게 대중가요나 효과음 등과 같은 다양한 청각자극을 제시하여 감성을 유발한 후, 자율신경계의 반응을 3가지 생리신호(GSR, SKT, PPG)를 통해 측정하여 반응 패턴을 분석하였다. 결과적으로, 자율신경계 반응 패턴은 각성/이완뿐만 아니라 쾌/불쾌간 감성 구분의 가능성을 확인할 수 있었다.

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.103-111
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• 2012

This paper is a basic study for making a system that can predict the success and failure of entertainment contents at the initial stage of production. It proposes the user's emotion modeling of dynamic narrative on entertainment contents. To make this possible, 1) dynamic narrative emotion model is proposed based on theoretical research of narrative structure and cognitive emotion model. 2) configuring the emotion types and emotion value, proposed model of three emotion parameter(desire, expectation, emotion type) are derived. 3)To measure user's emotion in each story event of dynamic narrative, cognitive behavior and description of user(film, game) is established. The earlier studies on the user research of conceptual, analytic approach is aimed of predicting on review of the media and user's attitude, and consequently these results is delineated purely descriptive. In contrast, this paper is proposed the method of user's emotion modeling on dynamic narrative. It would be able to contributed to the emotional evaluation of entertainment contents using specific information.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.5
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• pp.663-674
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• 2002

The objectives of this study were 1) to ascertain whether there was a difference in product performance (expressive or instrumental), which consumer recognized after using, related to consumer involvement toward clothing, 2) to clarify the effect of product performance on consumption emotion(positive or negative), 3) to investigate the effect of consumption emotion on satisfaction, and 4) to find out whether product performance had a direct effect on satisfaction toward product. The study was conducted in three steps. Through the two steps, measurement instruments were developed. At the last step, judgement sampling method were utilized to collect the data and subjects were 614 university students. Confirmatory factor analysis and structural equation model analysis were used to analyze the data. The results were as follows: 1) Consumer involvement had an effect on product performances but it was related to the expressive product performance more than to the instrumental product performance. 2) Product performance had positive influence on positive consumption emotion, while it had negative influence on negative consumption emotion. The results revealed that there were significant relationships between product performance and consumption emotion. 3) Positive consumption emotion had a positive effect on consumer satisfaction, on the other hand negative consumption emotion had a negative effect on consumer satisfaction. 4) Although the direct effects of product performances on satisfaction were larger than the indirect effects, product performance was greatly influential in consumption emotion and consumption emotion was strongly related to consumer satisfaction. Therefore, consumption emotion is an important determinant variable in the process of consumer satisfaction.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.37-48
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• 2019

Current research explores the effect of language on the perception of facial emotion as suggested by the psychological construction theory of emotion by using a psychophysical method. In this study, we hypothesize that the perception of facial expression may be influenced if the observer is shown an affective word before he/she judges an expression. Moreover, we suggest that his/her understanding of a facial emotion will be in line with the conceptual context that the word denotes. During the two experiments conducted for this project, a control stimulus or words representing either angry or happy emotions were briefly presented to participants before they were shown a target face. These target faces were randomly selected from seven faces that were gradually morphed to show neutral to angry (in Experiment 1) and neutral to happy (in Experiment 2) expressions. The participants were asked to perform a two-alternative forced choice (2AFC) task to judge the emotion of the target face (i.e., decide whether it is angry or neutral, or happy or neutral). The results of Experiment 1 (when compared with the control condition) showed that words denoting anger decreased the point of subjective equality (PSE) for judging the emotion of the target as anger, whereas words denoting happiness increased the PSE. Experiment 2, in which participants had to judge expressions on a scale from happy to neutral, produced a contrasting pattern of results. The outcomes of this study support the claim of the psychological construction theory of emotion that the perception of facial emotion is an active construction process that may be influenced by information (such as affective words) that provide conceptual context.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2012.05a
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• pp.1-2
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• 2012

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.257-268
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• 2011

We define a 'dominant emotion' as acting dominantly for unit time, and propose methodology to extract dominant emotion in a literature automatically. Due to the nature of the Korean language, it is able to be changed or reversed owns meanings as desinence. But it might be possible to extract a dominant emotion in a text has a small quantity like a fiction or an essay. A process to extract a dominant emotion in a literature is as follows. At first, extract morphemes in a whole text. And dispart words having emotional meaning as matching emotion terms database. Map disported terms to a affective circumplex model and matching it with basic emotion. Finally, analyze dominant emotion according to matched basic emotion. And we adjust our methodology to two literature; modem fiction 'A lucky day' by Jingeon, Hyun and essay 'An old man who shave a bat' by Woyoung, Yun. As a result, it was possible to grasp flows of dominant emotion.

• Science of Emotion and Sensibility
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• v.15 no.2
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• pp.283-296
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• 2012

The goal of this study is to determine the social emotion model as an emotion sharing relationship and information sharing relationship based on the user's relations at social networking services. 26 social emotions were extracted by verification of compliance among 92 different emotions collected from the literature survey. The survey on the 26 emotion words was verified to the similarity of social relation types to the Likert 7-points scale. The principal component analysis of the survey data determined 12 representative social emotions in the emotion sharing relation and 13 representative social emotions in the information sharing relation. Multidimensional scaling developed the two-dimensional social emotion model of emotion sharing relation and of information sharing relation based on online communication environment. Meanwhile, insignificant factors in the suggest social emotion models were removed by the structural equation modeling analysis, statistically. The test result of validity analysis demonstrated the fitness of social emotion models at emotion sharing relationships (CFI: .887, TLI: .885, RMSEA: .094), social emotion model of information sharing relationships (CFI: .917, TLI: .900, RMSEA : 0.050). In conclusion, this study presents two different social emotion models based on two different relation types. The findings of this study will provide not only a reference of evaluating social emotions in designing social networking services but also a direction of improving social emotions.

• Journal of the Semiconductor & Display Technology
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• v.16 no.4
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• pp.79-85
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• 2017

Understanding of human emotion has a high importance in interaction between human and machine communications systems. The most expressive and valuable way to extract and recognize the human's emotion is by facial expression analysis. This paper presents and implements an automatic extraction and recognition scheme of facial expression and emotion through still image. This method has three main steps to recognize the facial emotion: (1) Detection of facial areas with skin-color method and feature maps, (2) Creation of the Bezier curve on eyemap and mouthmap, and (3) Classification and distinguish the emotion of characteristic with Hausdorff distance. To estimate the performance of the implemented system, we evaluate a success-ratio with emotional face image database, which is commonly used in the field of facial analysis. The experimental result shows average 76.1% of success to classify and distinguish the facial expression and emotion.