• The Research Journal of the Costume Culture
• /
• v.24 no.1
• /
• pp.13-26
• /
• 2016

The purpose of the present study is to investigate the effect of time remaining to use mileage in the notification message from retailers on consumer responses. A total of 577 consumers participated in experiments involving different notification messages of the time remaining to use mileage. Results showed: 1) a significant difference in mileage benefit perception, positive emotion, negative emotion, attitude toward retailers, and repurchase intention according to the remaining time to use mileages, 2) benefit perception positively affected positive emotion and negatively affected negative emotion; positive emotion positively affected and negative emotion negatively affected attitude toward retailers; and attitude positively affected repurchase intention on retailers, and 3) the remaining time to use mileages moderates the relationship between attitude and repurchase intention. Findings highlighted the importance of timing of the message to notify the consumer as to remaining time to use mileage. In the case of a message indicating long remaining time to use mileage, consumers showed more positive responses toward retailers than did consumers who had a message indicating short remaining time to use mileage. These results can be used as guidelines to select the optimal time to send notification messages of remaining time to use mileage in order to generate positive consumer responses.

• Asia pacific journal of information systems
• /
• v.23 no.3
• /
• pp.55-76
• /
• 2013

The principal objective of the work is to confirm the effects of perceived interactivity, trust, and emotion on intentions to use IPTV service. The empirical investigation into IPTV service users suggests that (i) the perception of interactivity should be directly related with trust, (ii) Users' trust should bolster users' emotion in a positive or negative aspect, and (iii) such emotion is verified to affect the intention to use IPTV continuously. More specifically, we demonstrate that positive and negative emotions influence user intentions positively and negatively. Additionally, we find that the trust mediates perceived interactivity and emotions, and both trust and emotion mediate the relationship between perceived interactivity and intentions to use IPTV. The work indicates that trust and emotion of users should be considered from IS perspective in an attempt to build the intention to use IPTV. IPTV firms should consider in their IPTV design and offering strategy how to enhance positive emotions for user retention and eventually bolster intentions to use IPTV continuously.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.8
• /
• pp.37-43
• /
• 2018

In this paper, we propose a framework that automatically suggests emotion using emotion analysis method based on facial expression change. We use Microsoft's Emotion API to calculate and analyze emotion values in facial expressions to recognize emotions that change over time. In this step, we use standard deviations based on peak analysis to measure and classify emotional changes. The difference between the classified emotion and the normal emotion is calculated, and the difference is used to recognize the emotion abnormality. We match user's emotions to relatively relaxed emotions using histograms and emotional meshes. As a result, we provide relaxed emotions to users through images. The proposed framework helps users to recognize emotional changes easily and to train their emotions through emotional relaxation.

• Science of Emotion and Sensibility
• /
• v.23 no.1
• /
• pp.89-102
• /
• 2020

This study aimed to compare the effects of two emotion regulation strategies, namely, cognitive reappraisal and expressive suppression in female college students. Specifically, the effects of these two emotion regulation strategies were tested and the intrapersonal factors related to the effects of these strategies were explored. The participants included 60 female college students. In Study 1, 40 participants were randomly assigned to each of the two different strategy groups, i.e., a between-subject design was employed. In Study 2, 20 participants were asked to use both strategies to regulate their emotion, i.e., a within-subject design was employed. The results revealed that both emotion regulation strategies effectively reduced negative emotion of emotional stimuli. However, the use of emotion regulation assessed with a questionnaire was not matched to the actual usage of regulation strategies examined with a task. Finally, the use of a suppression strategy was related to the extroversion psychological adaptive variable. Our findings suggest that the subjective assessment of the use of an emotion regulation strategy may not be the same as the actual use of an emotion regulation strategy. Furthermore, we demonstrated that when participants have an option to use both strategies, the cognitive reappraisal is more functional than expression suppression. This concurs with the previous findings on the effects of emotion regulation strategies.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.63 no.9
• /
• pp.1294-1299
• /
• 2014

The emotion is deeply affected by human behavior and cognitive process, so it is important to do research about the emotion. However, the emotion is ambiguous to clarify because of different ways of life pattern depending on each individual characteristics. To solve this problem, we use not only physiological signal for objective analysis but also hybrid unsupervised-supervised learning classifier for automatic emotion detection. The hybrid emotion classifier is composed of K-means, genetic algorithm and support vector machine. We acquire four different kinds of physiological signal including electroencephalography(EEG), electrocardiography(ECG), galvanic skin response(GSR) and skin temperature(SKT) as well as we use 15 features extracted to be used for hybrid emotion classifier. As a result, hybrid emotion classifier(80.6%) shows better performance than SVM(31.3%).

• Journal of information and communication convergence engineering
• /
• v.20 no.3
• /
• pp.174-180
• /
• 2022

Emotion recognition is an essential component of complete interaction between human and machine. The issues related to emotion recognition are a result of the different types of emotions expressed in several forms such as visual, sound, and physiological signal. Recent advancements in the field show that combined modalities, such as visual, voice and electroencephalography signals, lead to better result compared to the use of single modalities separately. Previous studies have explored the use of multiple modalities for accurate predictions of emotion; however the number of studies regarding real-time implementation is limited because of the difficulty in simultaneously implementing multiple modalities of emotion recognition. In this study, we proposed an emotion recognition system for real-time emotion recognition implementation. Our model was built with a multithreading block that enables the implementation of each modality using separate threads for continuous synchronization. First, we separately achieved emotion recognition for each modality before enabling the use of the multithreaded system. To verify the correctness of the results, we compared the performance accuracy of unimodal and multimodal emotion recognitions in real-time. The experimental results showed real-time user emotion recognition of the proposed model. In addition, the effectiveness of the multimodalities for emotion recognition was observed. Our multimodal model was able to obtain an accuracy of 80.1% as compared to the unimodality, which obtained accuracies of 70.9, 54.3, and 63.1%.

• English Language & Literature Teaching
• /
• v.17 no.4
• /
• pp.193-206
• /
• 2011

The purpose of the study is to examine the use of emotion vocabulary by Korean English learners. Three basic emotion fields, pleasure, anger, and fear were selected to elicit the participants' responses. L1 English speakers' data was also collected for comparison. The major results are as follows. First, English learners responded with various inappropriate verb forms like I feel~, I am~ while the majority of English native speaking teachers responded with subjunctive forms like I would feel~. In addition, L2 English learners used mostly simple and coordination sentences. Second, the lexical richness, measured through type/token ratio, was higher in English L1 data than in English L2 data. The proportion of emotion lemmas reflects the lexical richness or the diversity of the emotion words. Lastly, L2 English learners' responses focused on a few typical adjectives like happy, angry and scared. This structural and semantic distinctiveness of Korean English learners' emotion words was discussed from pedagogical perspectives.

• Science of Emotion and Sensibility
• /
• v.13 no.1
• /
• pp.111-120
• /
• 2010

Initial stage of emotion has a great influence on building up product image and impression. Because of its influencing effects, measuring initial stage of emotion has potential to be a key factor for designers and marketers to achieve a distinct product concept. While many researchers have studied this topic with the emotion measurement method in product use stage, there are very few cases specialized in the initial stage of emotion. Even though present emotion measurement methods have difficulties to derive accurate user's initial stage of emotion, most case of initial emotion study applies these defective methods. The purpose of this study is to develop initial stage of emotion measurement method and apply this method to real product context. In the design of the initial stage of emotion measurement method, noticeable characteristics of initial stage of emotion were explored and initial emotion measurement framework was presented. Based on this framework, Initial Emotion Measurement System(IEMS) was suggested. This method collects user's eye movement, behavior and verbal data accurately and objectively.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.20 no.4
• /
• pp.784-792
• /
• 2006

The Neo-Confucian study of the thee of ministerial fire(相火論) constitute of the rule of iung jung(中正), the principal of form and use(體用) and of real nature and emotion(性情) of human and ethic mind(人心道心). The present study is to evaluate a fundamental concept of the theory of ministerial fire, which is one of traditional medical ideology in China, through the Neo-Confucianism projects to The theory of ministerial fire. The theory of ministerial fire of Judange(朱丹溪) was recognized by ontological principal of Heaven-Human being-Earth, ontological structure of Form-Use and the structure that mind consist of real nature and emotion(심統性惰). The ethic and human mind(道心人心) of Judange and constancy and transition(常變) of seven emotion have relationship in the ontological structure of Form-Use. The real nature of human Doing consisted of apriority of Heaven rule is unitary constructed by Form-Use(체용) of inactivated real nature and activated seven emotion and then activated seven emotion shows dual form of appropriate(中節) and inappropriate(不中節). Emperor's and ministerial fire(君火相火) which has a relationships of Heaven-Human being synchronization represents all kinds of fire and classified to heaven fire(天火) and human fire(人火). The emperor's fire was triggered by inactivated fire and ministerial fire(相火) was triggered by activated fire. Inactivated ministerial fires have dual form of physiological ministerial and pathological ministerial fire. Regarding the forementioned analytic thinking, it was clear that manifest processing of One's real nature and the ministerial fire undergo the same principal and logics. Since maintained One's real nature that is inactivated seven emotion and appropriated activated seven emotion, ministerial fire can be stable and keep one's health and well-being in mind and body.

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