• International journal of advanced smart convergence
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• 제11권4호
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• pp.177-184
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• 2022

The purpose of this study is to provide implications by conducting research on brand benefits for skiwear brand customers. For this purpose, a structural equation model was established and empirical research was conducted by selecting brand convenience as a hygiene variable and brand emotion, brand satisfaction, and repurchase intention as endogenous variables. In order to analyze the general characteristics of the subjects, frequency analysis was conducted using SPSS 25 and Cronbach's alpha analysis was conducted using the same statistical program. Confirmatory factor analysis and path analysis were conducted using AMOS 21. In addition, the benefits of skiwear brand, which is an independent variable, were composed of two sub-dimensions, and psychological benefits rather than functional benefits were found to have a stronger impact on brand emotion, suggesting practical implications.

• 유통과학연구
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• 제14권6호
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• pp.17-26
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• 2016

Purpose - The purpose of this study is to measure the effect on the attributes for store selection and Korean government regulations for large retailers on consumption emotion. Research Design, Data, and Methodology - Using SPSS ver.22, factor analysis & Cronbach's alpha, correlation, and regression test were performed. The total of 287 questionnaires were used for the analysis Result - Familiarity, perceived price, and perceived image have a positive effect on consumption emotion, but perceived quality & service did not. The Consumption emotion had a positive effect on traditional market revisit intentions. Retail regulation preference has a mediate effect between consumption emotion and familiarity & perceived price. Retail regulation preference also has a mediate effect between consumption emotion and traditional market revisit intension. Conclusion - Relationship marketing with sincerity is very important to keep familiarity, perceived price and image. People's consumption trend was changed due to dual career couple and heavy traffic jam in big cities. Therefore, a retail regulation cannot be a right solution for revitalizing traditional markets. So we need to find out an actual situation and design a win-win strategy between large retailers and traditional market.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2004년도 추계학술대회 논문집
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• pp.38-38
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• 2004

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2002년도 가을학술발표대회 디자인학 연구
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• pp.86-87
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• 2002

• 지역사회간호학회지
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• 제32권4호
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• pp.457-466
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• 2021

Purpose: The purpose of this study was to examine the correlations among emotional perception clarity, emotion regulation, family relationship, non-suicidal self-injury, and depression, and to determine associated factors of non-suicidal self-injury and depression for senior elementary school students. Methods: Data were collected from 150 early adolescences in K region, Korea. A self-report questionnaire consisted of Trait Meta-Mood Scale, Cognitive Emotion Regulation Questionnaire, Family Relationship Assessment Scale, Functional Assessment of Self-Mutilation, and Children's Depression Inventory. The data were analyzed using t-test, Pearson's correlation coefficient, logistic regression, and multiple regression analysis. Results: Non-suicidal self-injury and depression were positively associated with maladaptive emotion regulation strategy and family conflict, but negatively related to emotional perception clarity and family support. Adaptive emotion regulation strategy and family togetherness were only significantly correlated with depression. In logistic regression analysis, significant predictors of non-suicidal self-injury were emotional perception clarity, maladaptive emotion regulation strategy, and family support. Multiple regression analysis found that significant factors of depression were adaptive and maladaptive emotion regulation strategies, which explained 38.0% of the variance. Conclusion: Our study findings suggest that targeted intervention to reinforce the adaptive emotion regulation strategy and family relationship may prevent non-suicidal self-injury, and depression for senior elementary school students.

• 디지털융복합연구
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• 제19권7호
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• pp.371-377
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• 2021

본 연구는 스포츠 경기의 특성에 따른 스포츠 감정 유형을 분석하였다. 이를 위해 2018년 아시안게임 중, 대한민국 대표팀이 출전한 축구 7경기, 야구 6경기를 선정한 후, 이에 대한 소셜 네트워크 서비스 상 기사와 그 댓글을 조사대상으로 선정하였다. Python을 이용하여 수집된 댓글은 전문가 회의를 통해 해당 감정을 분석하였다. 스포츠 경기의 승패, 상대 팀의 수준 및 대한민국 대표팀의 경기력에 따른 스포츠 감정을 분석한 결과, 첫째, 승패와 상대 팀 수준은 특정한 유형의 스포츠 감정을 형성한다고 보기 어려웠다. 둘째, 스포츠 경기의 경기력은 좋다는 평가를 받을 경우 만족, 열광, 기쁨 등의 긍정적 감정을, 나쁘다는 평가를 받을 경우 실망, 분노, 창피의 부정적 감정을 형성하였다. 셋째, 스포츠 경기와 연관된 사회·문화적 배경이나 해당 경기의 특정한 사건 또한 스포츠 감정의 유형에 영향을 미쳤다. 추후, 본 연구에서 다루지 못한 다양한 스포츠 경기의 특성을 추가하여 보다 많은 스포츠 경기를 대상으로 분석하는 연구가 필요할 것이다.

• 한국주거학회:학술대회논문집
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• 한국주거학회 2011년도 춘계학술발표대회 논문집
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• pp.247-250
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• 2011

The purpose of this study suggests the emotion of residents as indexes in Korean housing environment for providing a fundamental guideline for precise dwelling social science and indicating the view for understanding of residents in korean housing culture in korea. So this paper explores the role of residents emotion indexes in housing environment and community. For this study, survey and depth-interview methods were used for data collection. The subjects were 514 housewives living in apartments. The statistical methods for data analysis were frequency, mean, multiple linear regression and logistic regression analysis using the SPSS 18.0 program The major findings are as follows: 1)Pride of neighborhood, pride of apartment complex and sense of superiority were important factors for residental satisfaction. 2)Conspicuous image of neighbors and active contact with neighbors were import factors for their neighborship in the apartment complex. The results develop the housing environment evaluation indexes in community through the contextual understanding of space emotion society.

• 마케팅과학연구
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• 제15권3호
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• pp.169-186
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• 2005

이 연구는 고객의 점포 혼잡성 지각이 점포내 감정을 매개하여 행동의도에 미치는 영향을 규명하고자 하는 목적을 두었다. 패밀리 레스토랑 고객 486명의 자료를 바탕으로 공분산구조분석을 실시한 결과, 지각된 점포 혼잡성은 긍정적 감정에 부(-)의 영향을 미치고, 부정적 감정에 정(+)의 영향을 미치며, 이러한 감정을 매개하여 행동의도에 영향을 주는 것으로 나타났다. 이러한 연구결과를 바탕으로 시사점을 논의하고, 연구의 한계와 미래 연구방향을 제시하였다.

• 한국응급구조학회지
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• 제4권1호
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• pp.95-100
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• 2000

This is a study to evaluate the effects of the safety of ambulance driving and traffic accidents and to provide statistic information for the various factors to reduce the ambulance traffic accidents. The major instruments of this study were Korean Self-Analysis Driver Opinionnaire. This Questionnaire contains 8 items which measure drivers' opinions or attitudes: driving courtesy, emotion, traffic law, speed, vehicle condition, the use of drugs, high-risk behavior, human factors. The total of 145 divers were investigated ambulance drivers in Taejon City and others(6 City) from 2000. 5. July to 2000. 11. July. The data were analyzed by the path analysis - with SPSS and AMOS package program. The result are as follows : 1. It have suggested that risk factors of ambulance traffic accident much affected with emotion and speed control on safety ambulance driving(Y(Accident) = $0.88{\times}1$(Emotion Control) + $0.92{\times}2$(Speed) - $0.46{\times}3$(Traffic Law)+E). 2. It have suggested that risk factors of ambulance traffic accident much affected with emotion and speed control on safety ambulance driving(Y(Accident) = $0.398{\times}1$(Emotion Control) + $0.500{\times}2$(Speed) - $0.263{\times}3$(Traffic Law)+E) by coefficiecial structural analysis.

• 산업경영시스템학회지
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• 제37권1호
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• pp.1-8
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• 2014

This paper proposes an emotion classifier from EEG signals based on Bayes' theorem and a machine learning using a perceptron convergence algorithm. The emotions are represented on the valence and arousal dimensions. The fast Fourier transform spectrum analysis is used to extract features from the EEG signals. To verify the proposed method, we use an open database for emotion analysis using physiological signal (DEAP) and compare it with C-SVC which is one of the support vector machines. An emotion is defined as two-level class and three-level class in both valence and arousal dimensions. For the two-level class case, the accuracy of the valence and arousal estimation is 67% and 66%, respectively. For the three-level class case, the accuracy is 53% and 51%, respectively. Compared with the best case of the C-SVC, the proposed classifier gave 4% and 8% more accurate estimations of valence and arousal for the two-level class. In estimation of three-level class, the proposed method showed a similar performance to the best case of the C-SVC.