• Journal of Korea Multimedia Society
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• v.19 no.8
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• pp.1574-1586
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• 2016

The aims of this research is to build Customer Delight index contents model for measuring the influential factors - Customer Delight and identify the relationship among Customer Delight, Customer Satisfaction and Customer Loyalty. Customer Delight hypothesis model was proposed by Catering Service Industry of Starbucks and validate the final questionnaire; 7 point Likert scale was used in the questionnaire, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) are used to analyze the reliability. And path analysis was used to evaluating the final hypothesis model. The results of this research was that the customer Self-involvement can lead to high awakening level and it also bring positive emotion to the customer. Awakening Level and positive emotion were the key factors for the Customer Delight. Instead of customer expectation, Customer Delight is based on customer awakening level and positive emotion which is different from Customer Satisfaction model. It is clearly to see the discrepancies between Customer Delight and Customer Satisfaction.

• Korean Journal of Child Studies
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• v.37 no.4
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• pp.101-115
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• 2016

Objective: The study examined the mediated-moderation effect of social-support levels from maternal-acceptance experiences by the parents of origin to child emotion regulation strategies through an emotion-coaching reaction. Methods: The participants in this study were children (Grades 4-6) and their mothers. They completed questionnaires on Maternal Parenting Experiences Scale, Children's Emotion Regulation Scale, Emotion-Coaching Scale, and Social Supportive Level Scale. Data were analyzed via SEM. Results: The main findings were as follows. First, a mediating model showed that the relationship between maternal-acceptance experiences by the parents of origin and child emotion-regulation strategies was mediated by emotion-coaching reactions. Second, there was a moderation effect of social-supportive levels on the relationship between maternal-acceptance experiences from parents of origin and emotion-coaching reaction. Finally, social-supportive levels mediated the moderation effect of social-support level from maternal-acceptance experiences to child emotion-regulation strategies through emotion-coaching reaction. Conclusion: These results indicate that importance of maternal social-supportive level from owns spouse or friends. I discussed the implications of the intervention of parent counseling and parent education in this research.

• Anxiety and mood
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• v.7 no.1
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• pp.3-8
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• 2011

Cognitive models of panic disorder have emphasized cognitive distortions' roles in the maintenance and treatment of panic disorder (PD). However, the patient's difficulty with identifying and managing emotional experiences might contribute to an enduring vulnerability to panic attacks. Numerous researchers, employing emotion processing paradigms and neuroimaging techniques, have investigated the empirical evidence for poor emotion processing in PD. For years, researchers considered that abnormal emotion processing in PD might reflect a dysfunction of the frontal-temporal-limbic circuits. Although neuropsychological studies have not provided consistent results regarding this model, a few studies have tried to find the biological basis of dysfunctional emotion processing in PD. In this article, we examine the possibility of dysregulation of emotion processing in PD. Specifically we discuss the neural basis of emotion processing and the manner in which such neurocognitive impairments may help clarify PD's core symptoms.

• 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.

• Journal of Internet Computing and Services
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• v.16 no.6
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• pp.133-141
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• 2015

Mass multimedia contents are shared through various social media servies including social network service. As social network reveals user's current situation and interest, highly satisfactory personalized recommendation can be made when such features are applied to the recommendation system. In addition, classifying the music by emotion and using analyzed information about user's recent emotion or current situation by analyzing user's social network, it will be useful upon recommending music to the user. In this paper, we propose a music recommendation method that makes an emotion model to classify the music, classifies the music according to the emotion model, and extracts user's current emotional state represented on the social network to recommend music, and evaluates the validity of our method through experiments.

• Journal of Fashion Business
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• v.7 no.1
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• pp.14-26
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• 2003

This research aimed 1) to analyze the relationship between consumer's emotional needs and elements of textile design in the 1st survey 2) to investigate textile design process presently conducted in the industry in the 2nd survey, and 3) to suggest a desirable direction to improve the textile design process based on a comparison of the results obtained from the two surveys. A description system and an emotion model on textile design were redeveloped as research devices in this study. In the 1st survey, total 600 respondents were sampled and asked to report their emotional response on 50 representative types of textile design, on a emotion measurement scale. The data set obtained from the 1st survey were statistically analyzed. In the 2nd survey, a depth interview was applied to qualitatively analyze the textile design process presently conducted in the industry. The results from the two surveys were compared.

• KIISE Transactions on Computing Practices
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• v.21 no.2
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• pp.160-165
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• 2015

Traditional speech emotion recognition techniques recognize emotions using a general training model based on the voices of various people. These techniques can not consider personalized speech character exactly. Therefore, the recognized results are very different to each person. This paper proposes an adaptive speech emotion recognition framework made from user's' immediate feedback data using a prompted labeling technique for building a personal adaptive recognition model and applying it to each user in a mobile device environment. The proposed framework can recognize emotions from the building of a personalized recognition model. The proposed framework was evaluated to be better than the traditional research techniques from three comparative experiment. The proposed framework can be applied to healthcare, emotion monitoring and personalized service.

• The Korean Journal of Franchise Management
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• v.15 no.2
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• pp.1-15
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• 2024

Purpose: Service quality plays an important role in the credibility of consumer behavior as it enhances brand loyality in hospitality business. The objective of this study is to determine the effects of service quality, positive emotion, brand affection, and brand loyalty in restaurant sector by applying the S-O-R model. The study also introduces a new integrated structural model that combines service quality's dimensions of physical quality, interaction quality, and outcome quality. Research design, data, and methodology: This study was analyzed in a quantitative way using the survey results of 395 customers who had experience of visiting restaurants. All constructs were measured with multiple items developed and validated in prior studies. In this study, SmartPLS 4.0 was used to evaluate the research model. The reliability, convergent validity, and discriminant validity of the measurement tool were verified. Result: Result was found that service quality(physical quality, interaction quality, outcome quality) had a positive effect on positive emotion and brand affection. Also both of positive emotion and brand affection had a positive effect on brand loyalty. This study contributes to the service quality literature and has practical managerial implications.

• 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.

• Korean Journal of Culture and Social Issue
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• v.27 no.4
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• pp.475-503
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• 2021

The purpose of this study is to clarify the constructs of emotion suppression and help understanding on the multidimensional nature of emotion suppression by classifying constructs for suppression according to the KMW model. Also, this study examined the gender differences of emotion suppression. For this purpose, 657 adult male and female subjects were evaluated for attitude toward emotions, and difficulty in emotional regulation, as well as depression, state anger and daily stress scale. As a result of the exploratory factor analysis on the scales related to the emotion suppression factors, the emotion suppression factors corresponding to each stage of the KMW model were found to be 'distraction against emotional information, 'difficulty in understanding and interpretation of emotions', 'emotion control beliefs', 'vulnerability on emotional expression beliefs'. Next, the study participants were classified by performing a cluster analysis based on each emotion suppression factor. As a result, four clusters were extracted and named 'emotional control belief cluster', 'emotional expression cluster', 'emotional attention failure cluster', and 'general emotional suppression cluster'. As a result of examining the average difference of male depression, depression, state anger, and daily stress for each group, significant differences were found in all dependent variables. As a result of examining whether there is a difference in the frequency of emotional suppression clusters according to gender, the frequency of emotional suppression clusters was high in men, and the ratio of emotional expression clusters was high in women. Finally, it was analyzed whether there was a gender difference in the effect of the emotional suppression cluster on psychosocial adaptation, and the implications were discussed based on the results of this study.