• The Journal of the Korea Contents Association
• /
• v.16 no.2
• /
• pp.82-95
• /
• 2016

This research has analyzed the influence of information search on festival image, emotional response, re-visit intention and intention to share information. Image of festival was assumed to be composed of three components of cognitive, affective and unique image. Emotional response was divided into positive and negative emotion. As the results of influence analysis, word of mouth-effect and online media such as SNS had a significant effect on unique image of the festival. whereas official homepage showed a significant impact on cognitive image. Among three factors of image, affective image had a great influence on positive emotion. as three image factors are associated with positive emotion. Also, Affective emotion was analyzed to have significant influence on re-visit intention and intention to share information.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.25 no.3
• /
• pp.101-118
• /
• 2014

Given the context of rapid developing ubiquitous computing environment, it is imperative for users to search and use images based on affective meanings. However, it has been difficult to index affective meanings of image since emotions of image are substantially subjective and highly abstract. In addition, utilizing low level features of image for indexing affective meanings of image has been limited for high level concepts of image. To facilitate the access points of affective meanings of image, this study aims to utilize user-provided responses of images. For a data set, emotional words are collected and cleaned from twenty participants with a set of fifteen images, three images for each of basic emotions, love, sad, fear, anger, and happy. A total of 399 unique emotion words are revealed and 1,093 times appeared in this data set. Through co-word analysis and network analysis of emotional words from users' responses, this study demonstrates expanded word sets for five basic emotions. The expanded word sets are characterized with adjective expression and action/behavior expression.

• The Journal of the Korea Contents Association
• /
• v.9 no.10
• /
• pp.292-304
• /
• 2009

This paper is to identify how merchandise quality, store environment, personnel service, sales promotion, store amenities and supporting service which is considered to store image components influence on satisfaction and loyalty and examine the role of satisfaction in explaining relationships between store image and loyalty. The results of the study are as follows: (1) each components of store image influence on cognitive satisfaction or emotionally based satisfaction or loyalty. (2) merchandise quality and store amenities have influence on cognitive satisfaction and emotionally based satisfaction is affected by personnel service and supporting service, but store environment has directly influence on loyalty. (3) store image components that is concerned with service in the store e.g. personnel service, supporting service build customer loyalty by mediating emotionally based satisfaction. In order to build strong customer loyalty, marketer have to formed through store image components that is much stronger on loyalty.

• Korean Journal of Human Ecology
• /
• v.18 no.6
• /
• pp.1289-1302
• /
• 2009

본 연구의 목적은 웹페이지 배경과 브랜드가 소비자의 감정과 점포이미지에 미치는 영향을 조사하는데 있으며, 또한 소비자의 감정과 점포이미지가 소비자 행동의도에 미치는 영향을 조사하는데 있다. 본 연구는 가상의 웹싸이트를 활용하여 2 (웹페이지 배경: 유 vs. 무) $\times$ 2 (브랜드: 인지도 고 vs. 저) 집단간 실험설계를 하였다. 382명의 응답이 가설검증을 위한 연구결과 분석에 사용되었다. 본 연구의 결과를 살펴보면, 웹페이지 배경이 소비자의 긍정적 감정과 점포이미지에 유의미한 영향을 미치는 것으로 나타났으며, 브랜드의 경우 인지도가 점포이미지에 유의미한 영향을 미치는 것으로 나타났다. 또한 구조방정식 모형의 유의미한 결과를 살펴보면, 긍정적 감정이 점포이미지에 긍정적 영향을 미치는 것으로 나타났으며 점포이미지가 소비자 행동에 긍정적 영향을 미치는 것으로 나타났다. 본 연구는 이론적 측면에서 온라인 환경에 대한 연구분야에 공헌하였으며, 마케팅적 시사점을 제시하였다.

• The Journal of the Korea Contents Association
• /
• v.16 no.5
• /
• pp.68-86
• /
• 2016

This study confirmed structural causal relations among concepts such as characteristics of store, store image, affective satisfaction, affective commitment, and loyalty and surveyed mediating roles of affective commitment in grocery retailing. Analysis of structural equation modeling with SPSS18.0 and AMOS18.0 were performed to test the research hypothesis. The results are as follows. First, Perceived quality, product assortment and product price influenced satisfaction. Second, Store image influenced affective satisfaction, affective commitment and loyalty. Affective satisfaction influenced affective commitment but not loyalty directly. Third, affective commitment influenced loyalty through the powerful mediating role. The store characteristics was seen to have a positive impact on affective satisfaction through store image, and in turn related to affective commitment, ultimately leading to loyalty. Especially, It is meaningful result in this study which is confirmed affective commitment have a strong mediating role in between store image, affective satisfaction and loyalty. Finally, we discussed the role of affective commitment and the strategies of affective commitment development, and suggested future studies.

• Journal of the Korean Society for Library and Information Science
• /
• v.48 no.1
• /
• pp.53-73
• /
• 2014

Given that emotion-based computing environment has grown recently, it is necessary to focus on emotional access and use of multimedia resources including images. The purpose of this study aims to identify the visual cues for emotion in images. In order to achieve it, this study selected five basic emotions such as love, happiness, sadness, fear, and anger and interviewed twenty participants to demonstrate the visual cues for emotions. A total of 620 visual cues mentioned by participants were collected from the interview results and coded according to five categories and 18 sub-categories for visual cues. Findings of this study showed that facial expressions, actions / behaviors, and syntactic features were found to be significant in terms of perceiving a specific emotion of the image. An individual emotion from visual cues demonstrated distinctive characteristics. The emotion of love showed a higher relation with visual cues such as actions and behaviors, and the happy emotion is substantially related to facial expressions. In addition, the sad emotion was found to be perceived primarily through actions and behaviors and the fear emotion is perceived considerably through facial expressions. The anger emotion is highly related to syntactic features such as lines, shapes, and sizes. Findings of this study implicated that emotional indexing could be effective when content-based features were considered in combination with concept-based features.

• The Journal of the Korea Contents Association
• /
• v.17 no.3
• /
• pp.382-399
• /
• 2017

The purpose of this study is to identify the structural relationship between service experience, corporate image, service trust, affective commitment and service loyalty in leisure service environment, and explain the causal role of corporate image, service trust and affective commitment. To this end, hypothesis was verified by structural equation model analysis using SPSS 23.0 and AMOS 20.0 statistical package. The result of the study as follows: First, service experience influenced corporate image and service trust but not affective commitment. Second, corporate image influenced service trust and service loyalty but not affective commitment. Third, service trust influenced affective commitment and service loyalty, Finally, affective commitment affected service loyalty. Therefore, service providers should raise corporate image and build the service loyalty by following the user to experience excellent service in a cognitive and affective aspects. Also, by motivating the customer to have affective commitment to the service trust, You need to plan and implement a marketing strategy that can increase loyalty.

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

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.05a
• /
• pp.530-531
• /
• 2020

최근 인공지능을 활용하여 예술 작품에 몰입할 수 있도록 무대 효과를 디자인하는 연구가 진행되고 있다. 무대 효과 중에서 무대 배경은 공연의 분위기를 형성한다. 춤의 장르별로 무대 배경에 사용되는 이미지를 생성하기 위해 소셜 미디어 기반 무대 배경 생성 시스템이 있다. 하지만 같은 장르 춤은 동일한 무대 배경 이미지가 제공되는 문제가 있다. 같은 장르의 춤이지만 노래의 분위기를 반영하여 차별된 무대 배경 이미지를 제공하는 것이 필요하다. 본 논문은 노래 가사의 감정을 활용하여 Generative Adversarial Network(GAN)을 통해 각 노래의 분위기를 고려한 무대 배경 이미지를 생성하는 방법을 제안한다. GAN은 노래에 포함된 단락별 감정 단어를 추출하여 스타일을 생성하도록 학습된다. 학습된 GAN은 노래 가사에 포함된 감정 단어를 활용하여 곡의 분위기를 반영한 무대 배경 이미지를 생성한다. 노래 가사를 고려하여 무대 배경 이미지를 생성함으로써 곡의 분위기가 고려된 무대 배경 이미지 생성이 가능하다.

• Journal of the Korean Society for Library and Information Science
• /
• v.51 no.4
• /
• pp.121-138
• /
• 2017

As information users seek multimedia with a wide variety of information needs, information environments for multimedia have been developed drastically. More specifically, as seeking multimedia with emotional access points has been popular, the needs for indexing in terms of abstract concepts including emotions have grown. This study aims to analyze the index terms extracted from Getty Image Bank. Five basic emotion terms, which are sadness, love, horror, happiness, anger, were used when collected the indexing terms. A total 22,675 index terms were used for this study. The data are three sets; entire emotion, positive emotion, and negative emotion. For these three data sets, co-word occurrence matrices were created and visualized in weighted network with PNNC clusters. The entire emotion network demonstrates three clusters and 20 sub-clusters. On the other hand, positive emotion network and negative emotion network show 10 clusters, respectively. The results point out three elements for next generation of multimedia retrieval: (1) the analysis on index terms for emotions shown in people on image, (2) the relationship between connotative term and denotative term and possibility for inferring connotative terms from denotative terms using the relationship, and (3) the significance of thesaurus on connotative term in order to expand related terms or synonyms for better access points.