• Title/Summary/Keyword: Emotion analysis

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Structural Relationship between Benefit of Ski Wear Brand, Brand Emotion, Brand Satisfaction, Brand Trust, and Repurchase Intention

  • Shim, Sang-Sin
    • International journal of advanced smart convergence
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    • v.11 no.4
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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.

The Effect of Store Selection Attributes and Consumption Emotion on Revisit Intention to Traditional Market under Retail Regulation

  • Park, Jong-Ho;Chung, Lak-Chae
    • Journal of Distribution Science
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    • v.14 no.6
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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.

The Effect of Senior Elementary School Students' Emotional Perception Clarity, Emotion Regulation, and Family Relationship on Non-Suicidal Self-Injury and Depression (초등학생 고학년의 정서인식 명확성, 정서조절전략, 가족관계가 비자살적 자해 및 우울에 미치는 영향)

  • Shin, Ji-hye;Kim, Suk-Sun
    • Research in Community and Public Health Nursing
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    • v.32 no.4
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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.

The Analysis on Sport Emotion Type by Sport Game Characteristics: with Social Big-Data (스포츠 경기의 특성에 따른 스포츠 감정 유형 분석 : 소셜 빅데이터를 중심으로)

  • Kim, Young-Mee;Yang, Jae-Sik
    • Journal of Digital Convergence
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    • v.19 no.7
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    • pp.371-377
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    • 2021
  • This study tried to analyze the types of sport emotion by sport game characteristics. For that, 7 soccer games and 6 baseball games of Korean team in 2018 Asian Games were selected, and the articles and their replies about those on social network services were collected as study materials. Python was used for the collecting and expert group meeting was held for the emotion analysis. As the results of the analysis on sport emotion types by win or lose, the level of opponents and the performance of Korean team as game characteristics, the following conclusions were drawn. First, it was hard to say that win or lose and opponent's level make certain sport emotion type. Second, The performance could made contended, enthusiastic and joyful emotions when judged good, but frustrated, angry, humiliated emotions when bad. Third, social·cultural background or certain event of the games also could effect on the sport emotion types. Follow-up studies with the other game characteristics and more game cases were needed to find out more clear causal relationship.

A Basic Study on Development of Residents Emotion Index in Apartment Community (아파트 커뮤니티에서의 거주자 감정지표 개발에 관한 기초 연구)

  • Park, Ji-Hye;Cho, Sung-Heui
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2011.04a
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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.

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The Effects of In-store Crowding on Consumer Emotions and Behavioral Intention (점포 혼잡성이 점포 내 감정과 행동의도에 미치는 영향)

  • Ji, Seong-Goo;Lee, Sang-Gun
    • Journal of Global Scholars of Marketing Science
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    • v.15 no.3
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    • pp.169-186
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    • 2005
  • This paper investigates how In-store crowding influences behavioral intention with mediating consumer emotion within store. We performed covariance structural analysis based on 486 subjects on family restaurants. The results showed that perceived In-store crowding negatively influences positive-customer emotion and positively influences negative-customer emotion. In addition, In-store crowding on intention to behavior channeled through consumer emotion. Finally, we discuss the results of analysis and suggest research limitation and future study.

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A Study on Behavioral Factors for the Safety of Ambulance Driving by Coefficiencial Structural Analysis (구급차 안전사고에 대한 공분산 구조분석)

  • Jo, Jeanman;Lee, Tae-Yong
    • The Korean Journal of Emergency Medical Services
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    • v.4 no.1
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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.

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Emotion Classification Using EEG Spectrum Analysis and Bayesian Approach (뇌파 스펙트럼 분석과 베이지안 접근법을 이용한 정서 분류)

  • Chung, Seong Youb;Yoon, Hyun Joong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.37 no.1
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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.