• Journal of Global Scholars of Marketing Science
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• v.9
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• pp.101-128
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• 2002

Prior researchs on Internet shopping have focused on cognitive, technological factors, but this research is focused on emotions experienced during internet shopping. Examines emotion types experienced during internet shopping and shopping mall characteristics influencing emotional response and effect of emotions on internet shopping behavior, specifically focusing on gender difference The data, collected from a sample of 131 internet shoppers, indicate that emotion types experienced during internet shopping and shopping mall characteristics influencing emotional response and emotional response influencing internet shopping behavior are difference between female and male. Theses results provide insights on internet shopping mall management according to gender.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.547-552
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• 2008

Human and robot will have closer relation in the future, and we can expect that the interaction between human and robot will be more intense. To take the advantage of people's innate ability of communication, researchers concentrated on the facial expression so far. But for the robot to express emotional intensity, other modalities such as gesture, movement, sound, color are also needed. This paper suggests that the intensity of emotion can be expressed with color and blinking so that it is possible to apply the result to LED. Color and emotion definitely have relation, however, the previous results are difficult to implement due to the lack of quantitative data. In this paper, we determined color and blinking period to express the 6 basic emotions (anger, sadness, disgust, surprise, happiness, fear). It is implemented on avatar and the intensities of emotions are evaluated through survey. We figured out that the color and blinking helped to express the intensity of emotion for sadness, disgust, anger. For fear, happiness, surprise, the color and blinking didn't play an important role; however, we may improve them by adjusting the color or blinking.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.129-134
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• 2009

Recently, percentage of people who use SMS service is increasing. However, it is difficult to express own complicated emotion with text and emoticon of exited SMS service. This paper focuses on that point and practical uses character animation to express emotion and nuance correctly, funny. Also this paper suggests emotion based gesture animation generation system that use character's facial expression and gesture to delivery emotion excitably and clearly than only speaking. Michel[1] investigated interview movies of a person whose gesturing style they wish to animate and suggested gesture generation graph for stylized gesture animation. In this paper, we make focus to analyze and abstracted emotional gestures of Disney animation characters and did 3D modeling of these emotional gestures expanding Michel[1]'s research. To express emotion of person, suggests a emotion gesture generation graph that reflects emotion flow graph express emotion flow for probability. We investigated user reaction for research the propriety of suggested system and alternation propriety.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.1-13
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• 2016

The purpose of this study is to explore the emotions of Facebook. Various types of emotions are being exchanged on Facebook. The emotional reactions make the Facebook different from previous electronic bulletin board. According to previous researches, computer-mediated communication can deliver visual symbols and non-verbal cues to enhance the abundance of meanings. Data were collected from 205 Facebook users and the number of users' posts were total 10308. The contents analysis was conducted to explore emotions of the 10308 Facebook posts. The results showed that the most frequent emotion was pleasure. The emotional distributions were different according to the contents types; text, video, photo, and link. For the text content type, emotion of curiosity was apparent and for the photo content type, emotion of love was more frequent than others, and for the video content type, emotion of surprise was salient. The results of the analysis for the shared contents also revealed that pleasure and hope were more frequent emotions than other emotions.

• The Journal of the Acoustical Society of Korea
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• v.34 no.3
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• pp.247-255
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• 2015

This paper presents a study on the performance of the music search based on the automatically recognized music-emotion labels. As in the other media data, such as speech, image, and video, a song can evoke certain emotions to the listeners. When people look for songs to listen, the emotions, evoked by songs, could be important points to consider. However; very little study has been done on the performance of the music-emotion labels to the music search. In this paper, we utilize the three axes of human music perception (valence, activity, tension) and the five basic emotion labels (happiness, sadness, tenderness, anger, fear) in measuring music similarity for music search. Experiments were conducted on both genre and singer datasets. The search accuracy of the proposed emotion-based music search was up to 75 % of that of the conventional feature-based music search. By combining the proposed emotion-based method with the feature-based method, we achieved up to 14 % improvement of search accuracy.

• Journal of Global Scholars of Marketing Science
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• v.13
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• pp.49-70
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• 2004

Recently, consumer researchers have suggested that consumers evaluate brand by subjective memory-based-emotion which was formed by their experience. However, relatively little consumer research has been done to explore conditions under which memory-based-emotion is used in brand evaluation. Therefore, this study explored the conditions to facilitate usage of memory-based- emotion such as accessibility, representativeness, relevance of consumption goal, when consumers evaluate brand. In addition, we investigated the factors that influence responses of memory-based- emotion, such as similarity of encoding and retrieving condition and level of organization. The results of this study suggest that level of organization was positively related to accessibility and representativeness. But similarity of encoding and retrieving condition was not related to them. And accessibility, representativeness influence on use of memory-based-emotion in consumer brand evaluation. But relevance of consumption goal did not influence on use of memory-based-emotion in consumer brand evaluation.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.123-132
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• 2014

This study examines the influence of the physical environment on tourist's emotional response and behavioral intention in the tourist destination. The research was mainly performed in leading tourist destinations of Busan Metropolitan City (Haeundae, Gwanganri & Songjeong area) by the sampling survey method in April-May 2013. The results demonstrate as follows. Firstly, the tourist's convenience and amenity in physical environments have significant impacts on the negative feeling of emotional response, but attractiveness did not influence in negative feeling. By contrast, the attractiveness and amenity the a of physical environments give significant impacts on the positive feeling of emotional response but convenience did not work in positive response. Secondly, both positive and negative feeling of emotional responses give meaningful impacts on Tourist's behavior intention. According to the meaningful relationship between physical environment and emotional response, the regional characteristics and effective marketing management of tourism resource and preparedness should be considered in setting up tourist facilities.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.197-203
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• 2005

In this paper, we propose an emotion recognition using facial Images to effectively design human interface. Facial database consists of six basic human emotions including happiness, sadness, anger, surprise, fear and dislike which have been known as common emotions regardless of nation and culture. Emotion recognition for the facial images is performed after applying the discrete wavelet. Here, the feature vectors are extracted from the PCA and LDA. Experimental results show that human emotions such as happiness, sadness, and anger has better performance than surprise, fear and dislike. Expecially, Japanese shows lower performance for the dislike emotion. Generally, the recognition rates for Korean have higher values than Japanese cases.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.485-492
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• 2001

Recently, character agents are used as a user-friendly interface. In this paper, we have studied a generic framework for emotional character agents which are designed to infer emotions from diverse personalities, situations, user behaviors and to express them. The method of emotion inference is based on blackboard systems which are used to solve the problems in AI. Because it keeps independence between knowledge sources which are rules of emotions, a blackboard-based inference engine is easy to manage knowledge sources, Blackboard-based systems gave the system flexibility. So we can adapt the engine to various application systems. Each emotional agent monitors user behavior, learns user profile and infers user behavior. And it generates characters emotions according to the user profile. So, in case of same situations, the agent can generate different emotions according to users. We have studied to build an personalized emotional character agent which according to situations and user modeling.

• 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.