• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.3
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• pp.1745-1752
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• 2015

This study provides a framework for understanding the effects of brand image(symbolic and functional) on emotional commitment and behavioral commitment. First, the causal relationships between brand image, emotional commitment and behavioral commitment were examined. Second, the mediating effects of brand trust were also examined. Undergraduate students(N=217) were participated in the survey and the structural equation modeling was utilized for data analysis. The results of this study reveal that both of symbolic and functional brand image are positively related to brand trust. Brand trust also have positive effects on emotional commitment and behavioral commitment. Based on the results, some recommendations for company are discussed and future research directions are outlined.

• Korea Journal of Hospital Management
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• v.23 no.1
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• pp.65-77
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• 2018

The purpose of this study is to examine the structural causal relationships between service image, service satisfaction, affective commitment, and customer loyalty to customers who have experienced hospital medical services, and to identifies the mediating effect of relationship proneness in explaining the effects of service image, service satisfaction, and affectivel commitment on customer loyalty. For this study, 250 respondents were surveyed and data were analyzed using SPSS 21.0 and AMOS 20.0 statistical package. Statistical analysis tools, such as SPSS 21.0 and AMOS 20.0 were utilized for ensuring the validity and the reliability, whereas the SEM method was used for testing the research hypothesis. The results of study are as follows. Service image had significant influence on service satisfaction and emotional commitment. First, Service satisfaction was significant for emotional commitment and customer loyalty, and emotional commitment had a significant effect on customer loyalty. Therefore, the path relations between variables were all statistically significant. Second, there was differences the moderating effect of the relationship proneness in the effects of service satisfaction, service image and affective commitment on customer loyalty. In other words, the moderating effect of the relationship tendency was consistent with the research hypothesis and the adjustment effect was significant in the relationship between service satisfaction and customer loyalty. However, there was no control effect in relation to service image and customer loyalty and affective commitment and customer loyalty. Therefore, In order to secure long-term and stable profits by establishing a relationship with their customers, the medical service marketing strategies of hospitals should be promoted to enhance customer loyalty by raising the level of service satisfaction to high relationship proneness group and by raising the the level of affective commitment to low relationship proneness group.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.267-274
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• 2011

The purposes of the study is builded upon previous researches to set up research model and investigate the relationship among store image, customers' emotional responses and behavior intention. For achieving study purposes, research model and hypotheses were set up after reviewing previous researches. The data were collected from a sample of 296 customers of department store, then used to conducted an empirical analysis. The results showed the significant relationship were partially found among store image, emotional responses and behavior intention. Objective store image influence positive emotions, indirectly influence behavior intention through positive emotions, but objective store image don't influence negative emotions. Subjective store image influence shoppers' positive emotions and negative emotions, and indirectly influence shoppers' behavior intention through positive emotions and negative emotions. This study has provided a variety of theoretical and practical implications for retailers to set up marketing strategies.

• International Journal of Contents
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• v.18 no.3
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• pp.11-20
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• 2022

Human Emotion Recognition is an exciting topic that has been attracting many researchers for a lengthy time. In recent years, there has been an increasing interest in exploiting contextual information on emotion recognition. Some previous explorations in psychology show that emotional perception is impacted by facial expressions, as well as contextual information from the scene, such as human activities, interactions, and body poses. Those explorations initialize a trend in computer vision in exploring the critical role of contexts, by considering them as modalities to infer predicted emotion along with facial expressions. However, the contextual information has not been fully exploited. The scene emotion created by the surrounding environment, can shape how people perceive emotion. Besides, additive fusion in multimodal training fashion is not practical, because the contributions of each modality are not equal to the final prediction. The purpose of this paper was to contribute to this growing area of research, by exploring the effectiveness of the emotional scene gist in the input image, to infer the emotional state of the primary target. The emotional scene gist includes emotion, emotional feelings, and actions or events that directly trigger emotional reactions in the input image. We also present an attention-based fusion network, to combine multimodal features based on their impacts on the target emotional state. We demonstrate the effectiveness of the method, through a significant improvement on the EMOTIC dataset.

• Cartoon and Animation Studies
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• s.40
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• pp.477-496
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• 2015

Emotional awareness is the image of a person is represented by different tendencies. Currently, the emotion computing to objectively evaluate the emotion recognition research is being actively studied. However, existing emotional computing research has many problems to run. First, the non-objective in emotion recognition if it is inaccurate. Second, the correlation between the emotion recognition is unclear points. So to test the regularity of image sensitivity to the need of the present study is to control emotions in the computing system. In addition, the screen number of the emotion recognized for the purpose of this study, applying the method of objective image emotional computing system and compared with a similar degree of emotion of the person. The key features of the image emotional computing system calculates the emotion recognized as numbered digital form. And to study the background of emotion computing is a key advantage of the effect of the James A. Russell for digitization of emotion (Core Affect). Pleasure emotions about the core axis (X axis) of pleasure and displeasure, tension (Y-axis) axis of tension and relaxation of emotion, emotion is applied to the computing research. Emotional axis with associated representative sensibility very happy, excited, elated, happy, contentment, calm, relaxing, quiet, tired, helpless, depressed, sad, angry, stress, anxiety, pieces 16 of tense emotional separated by a sensibility ComputingIt applies. Course of the present study is to use the color of the color key elements of the image computing formula sensitivity, brightness, and saturation applied to the sensitivity property elements. Property and calculating the rate sensitivity factors are applied to the importance weight, measured by free-level sensitivity score (X-axis) and the tension (Y-axis). Emotion won again expanded on the basis of emotion crossed point, and included a representative selection in Sensibility size of the top five ranking representative of the main emotion. In addition, measuring the emotional image of a person with 16 representative emotional score, and separated by a representative of the top five senses. Compare the main representative of the main representatives of Emotion and Sensibility people aware of the sensitivity of the results to verify the similarity degree computing emotion emotional emotions depending on the number of representative matches. The emotional similarity computing results represent the average concordance rate of major sensitivity was 51%, representing 2.5 sensibilities were consistent with the person's emotion recognition. Similar measures were the degree of emotion computing calculation and emotion recognition in this study who were given the objective criteria of the sensitivity calculation. Future research will need to be maintained weight room and the study of the emotional equation of a higher concordance rate improved.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.1
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• pp.125-138
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• 2014

The purpose of this study was to investigate emotional images, preference, and purchasing intention on the color combination for knitwear cultural goods development. The subjects were 719 university students in Daejeon and Chungnam province, and the measuring instruments were 12 stimuli manipulated by the combination of chromatic and achromatic colors, and self-administrated questionnaires consisted of general color preference, emotional images, preference, and purchasing intention items of the knitwear cultural goods, and subjects' demographics attributions. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, t test, ${\chi}^2$ test, ANOVA and Duncan's multiple range test, using SPSS program. The results were as follows. University students highly preferred black and gray color and deep tone on knitwear items, while they generally preferred blue and black color, and deep and pastel tone. The chromatic color combination was perceived as warm and conspicuous, but unattractive image. The achromatic color combination was perceived as cold and ordinary, but attractive image. Among the combination of chromatic and achromatic colors, gray & blue combination was perceived as more attractive image than red & dark gray combination. Color combination types of chromatic and achromatic color was showed some important differences on emotional image, preference and purchasing intention of knitwear cultural goods. Achromatic color combination was perceived as attractive image, and showed higher preference and purchasing intention than other color combination types.

• Journal of the Korea Computer Industry Society
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• v.2 no.10
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• pp.1291-1300
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• 2001

This article come to study the visualization representation technique of eye brain of person, basing on the ground of the dynamic graphics which is able to change the real time, manipulating the image as graphic factors of the multi-data. And the important thought in such realization is as follows ; corresponding the character points of human face and the parameter control value which obtains basing on the existing image recognition algorithm to the multi-dimensional data, synthesizing the image, it is to create the virtual image from the emotional expression according to the changing contraction expression. The proposed DyFIG system is realized that it as the completing module and we suggest the module of human face graphics which is able to express the emotional expression by manipulating and experimenting, resulting in realizing the emotional data expression description and technology.

• Journal of the Korea Furniture Society
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• v.25 no.4
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• pp.338-344
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• 2014

Modern furniture design is advancing by putting value on individual sensitivity. Accordingly, this study will focus on optical art, which can give various changes in people's sensitivity. Optical art was actively applied in various fields of image, photograph, fashion, textile, accessory and interior from the 1950s till the 1960s. Optical art realized by Victor Vasarely (1908~) opened a new trend in art by accurately realizing concise and precise expressions. This study analyzed the impact of pattern expression on sensitivity in optical art and suggested a method, which can spatiotemporally maximize the emotional change by combining optical art with the form of furniture. Modern furniture design is changing toward the direction of fitting to the propensity and emotional taste of an individual. Accordingly, this study analyzed the emotional expression felt in the furniture modeling works featured by concise, straight and standardized rectangular shape. Based on the result of analysis, this study would like to suggest a method to utilize optical pattern as a means for emotional design, with which people are able to perform various emotional expressions while keeping the function and form of furniture.

• Journal of Fashion Business
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• v.23 no.4
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• pp.38-52
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• 2019

This study aimed to examine the factors associated with emotional imagery from Obanggansaek and to analyze the difference between emotional imagery and the preference for Obanggansaek according to demographic characteristics. This study surveyed the responses of 320 participants to a questionnaire. The subjects consisted of men and women in their 20s-50s living in Gyeongnam and Busan region. The data were processed with SPSS 20.0 and were analyzed using factor analysis, t-tests, ANOVA, and Duncan's multiple range test. The results obtained were as follows. Five emotional imagery factors were associated with Obanggansaek: modernity, attractiveness, conspicuousness, soft/hard feeling, and newness. The analysis of emotional imagery for Obanggansaek according to demographic characteristics showed a significant difference in modernity, attractiveness, conspicuousness, and newness with respect to gender; in attractiveness with respect to marital status; in modernity, conspicuousness, soft/hard feeling, and newness with respect to age; in attractiveness and conspicuousness with respect to monthly income; and in attractiveness, soft/hard feeling, and newness with respect to occupation. The analysis of preference for Obangganasek according to demographic characteristics showed that women, married people, people in their 50s, and specialists preferred Obanggansaek the most. The interaction effect between preference for Obanggansaek and the demographic variables showed significant differences between gender and age, gender and occupation, marital status and monthly income, age and occupation, and monthly income and occupation.

• International Journal of Contents
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• v.14 no.2
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• pp.41-44
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• 2018

In this paper, we propose a novel method for developing expressive typography authoring tools with personal emotions. Our goal is to implement an interactive typography system that does not rely on any particular language and provides an easy, natural user interface and allows for immediate interaction. For this purpose, we converted the text data entered by a user to image data. The image data was then used for interaction with the user. The data was synchronized with the user's skeleton information obtained from the depth camera. We decomposed the characters using the formality of language to provide a typographical movement that responds more dynamically to the user's motion. Thus, this system provides interaction as a unit of characters rather than as a whole character, allowing the user to have emotional and aesthetic emotional immersion into his or her creation.