• Smart Media Journal
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• v.12 no.9
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• pp.81-88
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• 2023

Recently, communication through online is increasing due to the spread of non-face-to-face services due to COVID-19. In non-face-to-face situations, the other person's opinions and emotions are recognized through modalities such as text, speech, and images. Currently, research on multimodal emotion recognition that combines various modalities is actively underway. Among them, emotion recognition using speech data is attracting attention as a means of understanding emotions through sound and language information, but most of the time, emotions are recognized using a single speech feature value. However, because a variety of emotions exist in a complex manner in a conversation, a method for recognizing multiple emotions is needed. Therefore, in this paper, we propose a multi-emotion regression model that extracts feature vectors after preprocessing speech data to recognize complex, inherent emotions and takes into account the passage of time.

• Management & Information Systems Review
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• v.25
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• pp.243-273
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• 2008

A new research paradigm is emerging within organizational behavior, in both theory and empiricism, based on the increasing recognition of the importance of emotions to organizational life. This paper suggest that emotion intelligence play a moderate variables in relationship of emotion labor and emotional exhaustion. More specifically, it is proposed that emotional intelligence, the ability to understand and manage emotions in the employee self and others, contribute to effective emotions management in organizations. Four major aspects of emotion labor, appraisal and expression of emotion in oneself, appraisal and recognition of emotion in others, regulation of emotion in oneself and use of emotion to facilitate performance, are described. Also, the emotional intelligence are consists of four aspects, frequency of appropriate emotional display, attentiveness to required displayed rules, variety of emotions to be displayed and emotional dissonance. Then I propose how emotional intelligence contributes to of relations the emotion labor and emotional exhaustion. The purpose of this research is to investigate the impact of emotion labor to employee's emotional exhaustion to explore the moderating effects of the emotional intelligence between the emotion labor and emotional exhaustion. To complete the research the data were collected through a questionnaire from 147 employees from service company. After multi-hierarchical regression analysis, the outcomes of this study are the employee's emotional exhaustion are affected negatively by the three factors: major aspects of emotion labor, regulation of emotion in oneself, use of emotion to facilitate performance, make the moderation effect between emotion labor and emotional intelligence. These results indicate that instilling in others an appreciation of the importance of work activities: encouraging of true expression individual emotions, generating and maintaining well emotional climate and cooperation situations, and managing a meaningful environment for an organizational life.

• Imaging Science in Dentistry
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• v.40 no.2
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• pp.63-68
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• 2010

Purpose : To compare the CT numbers on 3 cone-beam CT (CBCT) images with those on multi-detector CT (MDCT) image using CT phantom and to develop linear regressive equations using CT numbers to material density for all the CT scanner each. Materials and Methods : Mini CT phantom comprised of five 1 inch thick cylindrical models with 1.125 inches diameter of materials with different densities (polyethylene, polystyrene, plastic water, nylon and acrylic) was used. It was scanned in 3 CBCTs (i-CAT, Alphard VEGA, Implagraphy SC) and 1 MDCT (Somatom Emotion). The images were saved as DICOM format and CT numbers were measured using OnDemand 3D. CT numbers obtained from CBCTs and MDCT images were compared and linear regression analysis was performed for the density, $\rho$ ($g/cm^3$), as the dependent variable in terms of the CT numbers obtained from CBCTs and MDCT images. Results : CT numbers on i-CAT and Implagraphy CBCT images were smaller than those on Somatom Emotion MDCT image (p<0.05). Linear relationship on a range of materials used for this study were $\rho$=0.001H+1.07 with $R^2$ value of 0.999 for Somatom Emotion, $\rho$=0.002H+1.09 with $R^2$ value of 0.991 for Alphard VEGA, $\rho$=0.001H+1.43 with $R^2$ value of 0.980 for i-CAT and $\rho$=0.001H+1.30 with $R^2$ value of 0.975 for Implagraphy. Conclusion: CT numbers on i-CAT and Implagraphy CBCT images were not same as those on Somatom Emotion MDCT image. The linear regressive equations to determine the density from the CT numbers with very high correlation coefficient were obtained on three CBCT and MDCT scan.

• Science of Emotion and Sensibility
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• v.8 no.4
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• pp.355-363
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• 2005

The adjectives for represnting emotions is important to evaluate and select the colors or color patterns. In this paper, we perform the MDS analysis, factor analysis, and cluster analysis to the Soen's experimental data obtained from the evaluation of random color patterns with 13 adjective pairs. As a result, those adjectives can be reduced 3 different factors representing emotions of weight, activity and temperature, which is approximately corresponds the results of previous researches on single colors. Also, we show that the adjectives for preference can be approximate4 by other primary adjectives for color patterns using regression analysis. This implies that one can construct a uniform emotion space for evaluating and selecting color patterns regardless of objects such as wall papers, carpets, and so on.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.330-336
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• 2000

A color is the most important of all factors that have influence on interior spaces, and plays an visually and psychologically important role in making interior environment. Thus, the aim of this study is to propose predictable color models by image types specially for color design in living room.This study was composed of three steps, and was carried out as follows.1) The evaluation experiment was carried out by color simulation using Color Image Processor. 2) Image types were extracted by factor analysis. 3) The characteristics of colors by image types were analysed by the multi regression and as a result the predictable color models by image types was determined.

• Korean Journal of Human Ecology
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• v.11 no.4
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• pp.335-346
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• 2002

The purpose of this study was to investigate how much adolescents use the internet and how much they are addicted to the internet, and to examine the relative effect of the personal and family related variables on the internet addiction. Data was collected through a questionnaire survey given to 420 students of middle school in Kwangju province. The data were analyzed by frequency, percentage, stepwise multi-regression analysis, Cronbach's $\alpha$, and Pearson's correlations coefficient. The major findings obtained from this study were as follows: 1. The proportion of internet addiction of adolescents was 9.1%. 2. Parent's control, positive family emotion and self-efficacy were proved to be the most significant variables. The internet addiction increased as the score of parent's control got higher, and the scores of the positive family emotion and the self-efficacy lower. 3. Because the positive family emotion was found to be a very important factor in determining internet addiction, this research proposes that the further family life education program should be developed to facilitate the normal family functioning in relations with preventing internet addiction.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.195-203
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• 2019

The study aims to identify Service Quality factors that affect purchase decision on Click and Collect service through the mediating variable of customer emotions at Mobile World stores in Ho Chi Minh City. This study employs a mixed methods research design. Data were collected through online self-completion questionnaire distributed to 316 customers who used to experience Click and Collect service at the Mobile World stores in Ho Chi Minh City, Vietnam. The theoretical model was tested through two-stage regression analysis (PATH model). The findings show that factors of service quality such as Reliability, Responsiveness, Assurance, Empathy, Tangibility, and Emotions affect the decision to purchase online and receive products directly at Mobile World stores in Ho Chi Minh City. Responsiveness and Assurance have a significant positive impact on the customer's emotions. Consequently, these factors should be considered and addressed when conducting multi-channel services. Obviously, employees must first be trained to be able to deliver the promise of the retailer to their customers. Based on the results of the study, the authors provide managerial implications for retailers in Vietnam in the multi-channel retail environment to develop Click and Collect at retail stores across the country and the world.

• Science of Emotion and Sensibility
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• v.10 no.1
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• pp.13-21
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• 2007

Many companies launched convergence products that are merged with several functions. Mobile convergence has some advantages such as portable convenience, usability of use, economic advantage that takes parts of the common component among products in the aspects of the digital products. Even though a plenty of items launched by convergence boom in the market, not tons of convergence products succeeded in the market because One of the major reasons is that companies don't take consumer evaluations in the process of the product development. It is important to set up infrastructure and excellent quality of the products for lasting the lifecycle of the convergence items. But, above all, it is imperative to find out how consumers evaluate convergence products and what they are affected to meet their satisfaction. Nevertheless, there are few case studies about consumer evaluations in mobile convergence until now. This study is to find out how consumers evaluate convergence products and what is the factor. This study surveyed 158 subjects and used multi-regression analysis and ANOVA(analysis of variance). The results of this study show that factors such as relative advantages, complexity, observability, perceived convenience affect the attitude of consumers.

• The Journal of Industrial Distribution & Business
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• v.12 no.3
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• pp.7-19
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• 2021

Purpose: This study aims to examine customer experience toward repurchase intention in offline and online stores and discuss customer satisfaction as a mediator variable. Research design, data, and methodology: This study investigates customer experience that consists of product, customer service, staff service, shopping environment and shopping procedure toward customer satisfaction using Regression Linear. This study also measures customer satisfaction as a mediated variable in the relationship between customer experience and repurchase intention using Sobel Test. Results: Almost all of the customer experience hypothesis is significant toward customer satisfaction, shopping process experience in the context of the online channel to customer satisfaction is not significant. We also found that customer satisfaction can be mediated variable in customer experience toward repurchase intention. Conclusions: Retails who want to make customers feel satisfied to have to make sure that have good resources in improving the product, the customer service is easy to contact to find the solution over customer problem in purchasing product, also develop the staff member skill in functional product knowledge, presentations, and communicating with customers online or offline, the retailer has to create enjoyment and pleasurable customer emotion through the shopping environment and also give seamless shopping experience to their customer in two-channel.

• Mood & Emotion
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• v.16 no.3
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• pp.152-157
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• 2018

Objectives : The purpose of this study was to examine psychosocial factors influencing suicidal ideation of community dwelling elderly, using the senior community center in Jeonnam Province. Methods : A total of 2,202 subjects (369 males, 1,833 females) were recruited. We evaluated sociodemographic factors, using a self-reporting questionnaire. Subjects completed the Geriatric Depression Scale-Short Form Korean Version (SGDS), Multi-dimensional Scale of Perceived Social Support (MSPSS), Korean version of the General Health Questionale-12 (GHQ-12) and Satisfaction with Life scale (SWLS), to assess psychosocial factors affecting suicidal ideation. Results : Among 2,202 subjects, 179 (8.1%) reported recent suicidal ideation. Self-perceptive health status (p<0.001) and physical disease (p=0.002) revealed differences between two groups. The scores of four scales in the suicidal group were significantly different from the control group: SGDS (p<0.001) and GHQ-12 (p<0.001) were higher, while MSPSS (p<0.001) and SWLS (p<0.001) were lower, in the suicidal ideation group than the control group. Multivariate logistic regression analysis revealed that physical disease (OR 2.575, 95%CI 1.022-6.492), SGDS (OR 1.181, 95%CI 1.120-1.246) and GHQ-12 (OR 1.192, 95%CI 1.108-1.283), were significantly associated with suicidal ideation. Conclusion : Findings support that physical disease, depression, and general mental health may correlate to suicidal ideation in the elderly.