• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1175-1186
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• 2017

Human emotion recognition is one of the promising applications in the era of artificial super intelligence. Thus far, facial expression traits are considered to be the most widely used information cues for realizing automated emotion recognition. This paper proposes a novel facial expression recognition (FER) method that works well for recognizing emotion from image sequences. To this end, we develop the so-called weighted soft voting classification (WSVC) algorithm. In the proposed WSVC, a number of classifiers are first constructed using different and multiple feature representations. In next, multiple classifiers are used for generating the recognition result (namely, soft voting) of each face image within a face sequence, yielding multiple soft voting outputs. Finally, these soft voting outputs are combined through using a weighted combination to decide the emotion class (e.g., anger) of a given face sequence. The weights for combination are effectively determined by measuring the quality of each face image, namely "peak expression intensity" and "frontal-pose degree". To test the proposed WSVC, CK+ FER database was used to perform extensive and comparative experimentations. The feasibility of our WSVC algorithm has been successfully demonstrated by comparing recently developed FER algorithms.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.381-387
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• 2013

Recently, emotional contents that induce emotions and respond to emotions are given attention in the field of cultural industries, and extracting emotion caused by multimedia contents is being noted. Furthermore, since multimedia contents have been quickly produced and distributed these days, researches automatically to extract the feeling of multimedia contents are being accelerated. In this paper, we will study the method of emotional value extraction in the multimedia contents using the volume value of the multimedia contents in a certain frequency among sound informations. This study allows to extract the emotion of multimedia contents automatically, and the extracted information will be used to provide user's current emotion, weather, etc. for the users.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.97-105
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• 2018

The fourth industrial revolution is expected to bring about great changes in information technology sector and create a variety of jobs. However, the psychological anxiety of IT staff is increasing due to stress and uncertainty created by the new technologies. Accordingly, researchers examined how professional identity moderate the effect of job stress of system maintenance staff on emotion exhaustion. For empirical studies, data was collected from 160 employees responsible for managing and supporting IS, and the hypothesis was verified using SPSS 21. The analysis results showed that role conflicts, role ambiguity, and qualitative work overload, which are components of job stress, have affected the emotion exhaustion. Professional identity had a moderating effect the relationship between qualitative work overload and emotion exhaustion. On the other hand, professional identity did not moderate the relationship between role conflict and emotion exhaustion, role ambiguity and emotion exhaustion. As professional identity lessen the psychological burden and emotion exhaustion of introducing new technologies, organizations need to provide support to enhance professional identity for system maintenance staff.

• Korean Journal of Cognitive Science
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• v.19 no.4
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• pp.499-517
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• 2008

In this paper, we propose an effective emotion feature extraction method for Korean and evaluate their availability in sentiment classification. Korean emotion features are expanded from several representative emotion words and they play an important role in building in an effective sentiment classification system. Firstly, synonym information of English word thesaurus is used to extract effective emotion features and then the extracted English emotion features are translated into Korean. To evaluate the extracted Korean emotion features, we represent each document using the extracted features and classify it using SVM(Support Vector Machine). In experimental results, the sentiment classification system using the extracted Korean emotion features obtained more improved performance(14.1%) than the system using content-words based features which have generally used in common text classification systems.

• Journal of Families and Better Life
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• v.32 no.6
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• pp.47-58
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• 2014

The purpose of this study was to examine the effects of mothers' parenting behavior, preschool children's language ability and emotion regulation on peer competence and aggressive behavior. The subjects were 100 preschool children (49 girls and 51 boys; mean age, 70.30 months), their mothers and teachers, recruited from five daycare centers located in Gyeonggi-do area. Each child's language ability was assessed individually with the standardized measure, the Preschool Receptive-Expressive Language Scale and their teachers reported on the children's peer competence and aggressive behavior. Their mothers also reported on parenting behavior and their child's emotion regulation by questionnaire. The collected data was analyzed by correlation analysis and hierarchical regression. The main results of this study were as follows. First, preschool children's peer competence was positively related to maternal warmth and children's language ability. Their aggressive behavior was positively related to harsh maternal parenting but negatively related to emotion regulation. Second, hierarchical regression analyses revealed that children's language ability and maternal warmth predicted peer competence. Third, children's gender, emotion regulation, and harsh maternal parenting predicted aggressive behavior. These findings could provide basic information for programs and services to promote peer competence in preschool children.

• Science of Emotion and Sensibility
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• v.14 no.1
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• pp.101-116
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• 2011

Current researches on emotion detection classify emotions by using the information from facial, vocal, and bodily expressions, or physiological responses. This study was to review three representative emotion recognition methods, which were based on psychological theory of emotion. Firstly, literature review on the emotion recognition methods based on facial expressions was done. These studies were supported by Darwin's theory. Secondly, review on the emotion recognition methods based on changes in physiology was conducted. These researches were relied on James' theory. Lastly, a review on the emotion recognition was conducted on the basis of multimodality(i.e., combination of signals from face, dialogue, posture, or peripheral nervous system). These studies were supported by both Darwin's and James' theories. In each part, research findings was examined as well as theoretical backgrounds which each method was relied on. This review proposed a need for an integrated model of emotion recognition methods to evolve the way of emotion recognition. The integrated model suggests that emotion recognition methods are needed to include other physiological signals such as brain responses or face temperature. Also, the integrated model proposed that emotion recognition methods are needed to be based on multidimensional model and take consideration of cognitive appraisal factors during emotional experience.

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

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.6C
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• pp.505-511
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• 2005

Autonomic machines interacting with human should have capability to perceive the states of emotion and attitude through implicit messages for obtaining voluntary cooperation from their clients. Voice is the easiest and most natural way to exchange human messages. The automatic systems capable to understanding the states of emotion and attitude have utilized features based on pitch and energy of uttered sentences. Performance of the existing emotion recognition systems can be further improved withthe support of linguistic knowledge that specific tonal section in a sentence is related with the states of emotion and attitude. In this paper, we attempt to improve recognition rate of emotion by adopting such linguistic knowledge for Korean ending boundary tones into anautomatic system implemented using pitch-related features and multilayer perceptrons. From the results of an experiment over a Korean emotional speech database, the improvement of $4\%$ is confirmed.

• Management & Information Systems Review
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• v.31 no.4
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• pp.639-661
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• 2012

The purpose of the paper is to examine sidedness effects of comparative advertising and moderating roles of the emotions of customer and product type. To test the research hypotheses, this study conducted experimental designs. One hundred ninety-two undergraduate students were assigned to one of the four experimental groups. Comparative Advertising message type and product type were manipulated as between-subject factors. There was a surprising event situation(free gift event) when participants came to laboratory for experiment, which is for the emotion manipulation. If a participant in a positive emotion group, he or she gets a free gift. The data demonstrate that comparative message type have a significant effect on both attitude toward the advertising and acceptance intention. In addition, consumers' emotion and product type play a significant moderating role between the message types and the dependent variables. The results of this study contribute to the literature as a new attempt to examine the sidedness effect of the comparative advertising message. We suggested that message types and consumer's emotion is one of very important aspects for a comparative advertising and marketers should consider people's emotion when they release a comparative advertising, which can help when marketers make their strategy for a comparative advertising.

• Management & Information Systems Review
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• v.33 no.3
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• pp.105-128
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• 2014

This study attempted to examine the role of customers in service recovery process. There have been an argument regarding whether the role of customer in service failure situation 'buffer' or 'deteriorate'. Thus, the role of customer such as relationship quality and customer participation was discussed in this research. According to the result of study, (1) customers' perceived recovery have positive effect on positive emotion significantly. (2) customers' perceived distributional justice and interactional justice positively affected encounter satisfaction in the of recovery justice variable. However, whereas procedure justice has no effect on encounter satisfaction directly, there was indirect effect through customers' positive emotion. (3) As a result of the analysis for the effect of perception of recovery justice on recovery satisfaction, the effect of interactional justice was significant only. Distributional and procedural justice have indirect effect on recovery satisfaction through positive emotion or encounter satisfaction. (4) Customers' positive emotion positively affected encounter satisfaction and recovery satisfaction. (5) Relationship quality negatively moderated the relationship between procedural justice and positive emotion while customer participation positively moderated two paths that distributional justice to encounter satisfaction and interactional justice to recovery satisfaction.