• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.68-86
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• 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 Association For Science Education
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• v.38 no.2
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• pp.171-186
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• 2018

Recent research has shown that elementary school students can experience epistemic affect -emotions and feelings experienced within epistemic practices, such as the enjoyment of having a wonderful idea or uncomfortable feeling of at a cognitive dissonance- during modeling process. This study explores how an introverted elementary student could participate in the modeling process by constructing an epistemic affect. Based on the theory of constructed emotion, we analyzed one elementary student's constructed epistemic affect using data resources such as emotion diaries, video recordings, and post interviews. We selected one introverted student (a fifth grader), showing peripheral and full participation during modeling. Specifically, we explored which emotions were constructed when she participated in modeling peripherally -and which epistemic affect was constructed when she participated fully- during the construction, evaluation, and revision processes. The research results showed, first, that the introverted elementary student came to participate in the model construction process by constructing the epistemic affect called aha. Second, the results showed that she came to participate in the model revision process by constructing the epistemic affect called feeling that the reasoning was wrong when confronting the rebuttals of the other student. Finally, she came to participate in the model evaluation process by constructing the epistemic affect called dislike of another student's idea. Through our exploration of the constructed epistemic affect of the introverted elementary student, we deduced that it is important to help each student to construct an epistemic affect that facilitates his or her participation in modeling. Also, we discussed that it is important to understand the impact of the emotional load that can occur for each student, depending on the constructed past, present, and future emotions.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.11-17
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• 2021

In this study, problems of software completeness appraisal are pointed out and their solutions are presented by analyzing appraisal cases and judicial precedents. Completeness appraisal, ready-made appraisal, defect appraisal, and cost appraisal have been classified as and have been evaluated with extant software completeness appraisals. From a legal point of view, and in judicial precedents, however, there is a big difference between the definition of completeness and the completion rate. This is because the degree of completeness is evaluated under the premise that the software's development is complete, whereas the ready-made appraisal inspects the development progress of unfinished software. Often, in cases involving software completion rate, the total completion level is calculated by weighting each step of the software development process. However, completeness evaluations use the software's realization-operation as its sole criterion. In addition, another issue not addressed in existing software completeness appraisal cases is that there is no mention of who is responsible for software defects, whereas in case law, the responsible party is determined by finding who caused the dispute. In this paper, we systematically classify these problems, and present a novel evaluation method that separates software completeness evaluations from software completion evaluations.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.41-47
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• 2022

This study explored the academic emotions of university freshmen depending on the type of online class(pre-recorded lecture vs. real time online class) that they took during the COVID-19 lockdown. 170 freshmen participated in the survey based on the 'Academic Emotion Questionnaire(AEQ)', and the statistical results are as follows; Firstly, research showed that the participants felt higher positive emotions for pre-recorded lecture than for real time online class, and higher negative emotions for real time online class than for pre-recorded lecture(p < .01). Secondly, participants felt different emotions depending on English level(p < .01). Thirdly, participants felt different emotions depending on their majors(p < .01). Students majoring in science & engineering felt higher positive emotions than those in humanities & social studies in pre-recorded lecture class. Fourthly, participants felt different emotions depending on gender(p < .01). Female students felt higher negative emotions than male students. Finally, the pedagogical implications and suggestions were discussed.

• Management & Information Systems Review
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• v.30 no.1
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• pp.1-37
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• 2011

Prior researches 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 shopping motivation difference. The data, collected from a sample of 323 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 among shopping motivation. Theses results provide insights on internet shopping mall management according to shopping motivation.

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

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.6
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• pp.119-133
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• 2021

Research has been conducted in many fields to identify research trends using text mining, but in the field of emotional labor, no research has been conducted using text mining to identify research trends. This study uses text mining to deeply analyze 1,465 papers at the Korea Citation Index (KCI) from 2004 to 2019 containing the subject word 'emotional labor' to understand the trend of emotional labor researches. Topics were extracted by LDA analysis, and IDM analysis was performed to confirm the proportion and similarity of the topics. Through these methods, an integrated analysis of topics was conducted considering the usefulness of topics with high similarity. The research topics are divided into 11 categories in descending order: stress of emotional labor (12.2%), emotional labor and social support (12.0%), customer service workers' emotional labor (10.9%), emotional labor and resilience (10.2%), emotional labor strategy (9.2%), call center counselor's emotional labor (9.1%), results of emotional labor (9.0%), emotional labor and job exhaustion (7.9%), emotional intelligence (7.1%), preliminary care service workers' emotional labor (6.6%), emotional labor and organizational culture (5.9%). Through topic modeling and trend analysis, the research trend of emotional labor and the academic progress are analyzed to present the direction of emotional labor research, and it is expected that a practical strategy for emotional labor can be established.

• Science of Emotion and Sensibility
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• v.26 no.3
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• pp.83-100
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• 2023

This study determines whether the perception of the frequency of experiencing positive, negative, and surprise emotions changes according to the level of cognitive well-being. Furthermore, we determined practical means to analyze which emotions can be managed in daily life as an effective means of improving overall life satisfaction by identifying representative specific emotions that strongly predict the level of cognitive well-being. To this end, the between-subjects factorial design is adopted to measure the frequency of emotional experiences according to the level of cognitive well-being in 438 university undergraduate students. For cognitive well-being, the life satisfaction scale (SWLS) was used, and the PANAS-X scale was used to measure emotional frequency. As a result, first, the group with high cognitive well-being displays a higher frequency of positive and surprise emotional experiences and a lower frequency of negative emotional experiences than the group with low cognitive well-being. Second, the results confirm that representative emotions affecting cognitive well-being included 8 positive emotions, 7 negative emotions, and 1 surprise emotion. Among them, positive emotions include "happy" and "confident," negative emotions include "dissatisfied with self" and "disgusted with self," and surprise emotions include words such as "amazed." Therefore, we can conclude that the representative emotions are those with the greatest influence on cognitive well-being. Therefore, increasing the frequency of specific emotions (e.g., happy, confident, and surprise) and decreasing the frequency of others (e.g., dissatisfied with self and disgusted with self) could be effective in improving cognitive well-being than unconditionally examining emotions experienced in daily life.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.493-496
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• 2002

감정은 상당히 애매 모호하고 불명확하며 상대방의 감정을 이해하는 것은 매우 어렵다. 본 논문에서는 Plutchik의 감정 모델을 기호 다치 논리 함수의 미분을 이용하여 감정의 변화과정을 추론하는 방법을 제안한다.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.393-400
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• 2018

The purpose of this study was to empirically investigate the emotional dynamics among sport issues, social structure changes and collective behaviors with time-series analysis. For the purpose, the doping scandal of Tae-Hwan Park was chosen and simplified into 10 episodes. And replies and articles on them were analysed by time-series analysis. As the conclusions, first, there was a clear causal relationship between sport issue and sport emotion. Second, sport emotion was a social being which interacting with social process. Third, the sport emotional dynamics was confirmed. With this study, the sport emotion dynamics was empirically verified, but more statistical approaches would be needed for stronger evidences.