• Journal of Korea Multimedia Society
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• 제24권11호
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• pp.1580-1587
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• 2021

Currently, the development and sale of various emoticons has given users a wider range of choices, but a systematic and specific approach to the recognition and use of emoticons by actual users is lacking. Therefore, this study tried to investigate the subjective perception and visual attention concentration of actual users on negative emotional expression emoticons through a survey and eye tracking experiment. First, as a result of subjective recognition analysis, it was found that emoticons are frequently used because their appearance is important, and they can express various emotions in a fun and interesting way. In particular, it was found that emoticons that express negative emotions are often used because they can indirectly express negative emotions through various and concretely expressed visual elements. Next, as a result of the eye tracking experiment, it was found that the negative emotional expression emoticons focused on the large elements that visually emphasized or emphasized the emotional expression elements, and it was found that the focus was not only on the facial expression but also on the physical behavioral responses and language of expression of emotions. These results will be used as basic data to understand users' perceptions and utilization of the diversified emoticons. In addition, for the long-term growth and activation of the emoticon industry market in the future, continuous research should be conducted to understand the various emotions of real users and to develop differentiated emoticons that can maximize the empathy effect appropriate to the situation.

• Culinary science and hospitality research
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• 제23권8호
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• pp.40-53
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• 2017

This study identified the important service quality of the emerging night market as an alternative for the revitalization of the traditional market. This study also was to analyze the effects of service quality on customers' emotions, behavior intention and local performance in night market, and to provide an effective operation plan. The collected data were analyzed by frequency analysis, factor analysis, reliability analysis and multiple regression analysis using SPSS 16.0 Version, a statistical package program, and various results were discovered. First, all the service quality factors (convenience, food, event program, physical environment) had a positive (+) effect on positive emotion, and the service quality factors except event program had a negative (-) effect on negative emotions. Second, the service quality factors had a partially positive (+) effect on behavior intention and local performance. Third, the positive and negative emotions had a effect on behavior intention, however, the positive emotions had a positive (+) effect on local performance. Consequently, the present study confirmed that service quality in the night market is important factors for emotions, behavior intention, and local performance. Therefore, the findings of this study is capable of being the basic data for revitalizing the traditional market in the future.

• International journal of advanced smart convergence
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• 제8권2호
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• pp.8-17
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• 2019

The main purpose of this study isto explore the potential of affective computing (AC) platforms in education through two phases ofresearch: Phase I - platform analysis and Phase II - classification of academic emotions. In Phase I, the results indicate that the existing affective analysis platforms can be largely classified into four types according to the emotion detecting methods: (a) facial expression-based platforms, (b) biometric-based platforms, (c) text/verbal tone-based platforms, and (c) mixed methods platforms. In Phase II, we conducted an in-depth analysis of the emotional experience that a learner encounters in online video-based learning in order to establish the basis for a new classification system of online learner's emotions. Overall, positive emotions were shown more frequently and longer than negative emotions. We categorized positive emotions into three groups based on the facial expression data: (a) confidence; (b) excitement, enjoyment, and pleasure; and (c) aspiration, enthusiasm, and expectation. The same method was used to categorize negative emotions into four groups: (a) fear and anxiety, (b) embarrassment and shame, (c) frustration and alienation, and (d) boredom. Drawn from the results, we proposed a new classification scheme that can be used to measure and analyze how learners in online learning environments experience various positive and negative emotions with the indicators of facial expressions.

• Journal of Gifted/Talented Education
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• 제25권1호
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• pp.139-159
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• 2015

In this study, achievement emotions were compared between the gifted and regular students. The significant differences for each group were shown in all eight elements respectively in lesson situation, learning situation and test situation. Among various achievement emotions, it was also found that the gifted students showed higher level of positive achiecement emotions. Furthermore, positive achievement emotions can have positive effects in increasing the achievement level in science subject. On the other hand, the negative achievement emotions were higher for ordinary students that could have negative effets. The influential factors were recognizing the values of Science, Science experiments, positive evaluation experiences, aggressive learning attitudes, interests and knowledge, positive self-perceptions, career relationships, and teachers' recognitions. These factors influenced in imcreasing students' positive achievement emotions and decreasing negative achievement emotions. By conducting in-depth advanced conversations with students based on the above results could increase students' interest and positive achievement emotions.

• Dementia and Neurocognitive Disorders
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• 제23권3호
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• pp.146-160
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• 2024

Background and Purpose: The emotions of people at various stages of dementia need to be effectively utilized for prevention, early intervention, and care planning. With technology available for understanding and addressing the emotional needs of people, this study aims to develop speech emotion recognition (SER) technology to classify emotions for people at high risk of dementia. Methods: Speech samples from people at high risk of dementia were categorized into distinct emotions via human auditory assessment, the outcomes of which were annotated for guided deep-learning method. The architecture incorporated convolutional neural network, long short-term memory, attention layers, and Wav2Vec2, a novel feature extractor to develop automated speech-emotion recognition. Results: Twenty-seven kinds of Emotions were found in the speech of the participants. These emotions were grouped into 6 detailed emotions: happiness, interest, sadness, frustration, anger, and neutrality, and further into 3 basic emotions: positive, negative, and neutral. To improve algorithmic performance, multiple learning approaches were applied using different data sources-voice and text-and varying the number of emotions. Ultimately, a 2-stage algorithm-initial text-based classification followed by voice-based analysis-achieved the highest accuracy, reaching 70%. Conclusions: The diverse emotions identified in this study were attributed to the characteristics of the participants and the method of data collection. The speech of people at high risk of dementia to companion robots also explains the relatively low performance of the SER algorithm. Accordingly, this study suggests the systematic and comprehensive construction of a dataset from people with dementia.

• Journal of the Ergonomics Society of Korea
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• 제31권5호
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• pp.617-627
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• 2012

Objective: The aim of the study was to develop a most widely used Korean dictionary of emotion expressing idioms. This is anticipated to assist the development of software technology that recognizes and responds to verbally expressed human emotions. Method: Through rigorous and strategic classification processes, idiomatic expressions included in this dictionary have been rated in terms of nine different emotions (i.e., happiness, sadness, fear, anger, surprise, disgust, interest, boredom, and pain) for meaning and intensity associated with each expression. Result: The Korean dictionary of emotion expression idioms included 427 expressions, with approximately two thirds classified as 'happiness'(n=96), 'sadness'(n=96), and 'anger'(n=90) emotions. Conclusion: The significance of this study primarily rests in the development of a practical language tool that contains Korean idiomatic expressions of emotions, provision of information on meaning and strength, and identification of idioms connoting two or more emotions. Application: Study findings can be utilized in emotion recognition research, particularly in identifying primary and secondary emotions as well as understanding intensity associated with various idioms used in emotion expressions. In clinical settings, information provided from this research may also enhance helping professionals' competence in verbally communicating patients' emotional needs.

• Journal of the Korean Society of Clothing and Textiles
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• 제32권1호
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• pp.1-11
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• 2008

The purpose of this study was to investigate the effects of Internet shopping interests on the casual relationships among Internet shopping mall attributes, emotions, and impulse buying behavior. Data were obtained from 414 internet shoppers who had bought fashion products in internet shopping mall. The result showed that the highly interested Internet shoppers, when perceived the product attributes of Internet shopping mall, were more likely to feel positive emotions, and then were more likely to buy fashion products impulsively in Internet shopping. The less perceived the convenience of checkout & trust in Internet, the more negative emotions they had. However, the less interested Internet shoppers were more likely to buy impulsively fashion products with positive emotions when they perceived various product assortments, and were negatively influenced by the high speed of loading and promotions of Internet shopping mall. The findings provide implications of impulse buying behavior in Internet shopping malls for fashion products.

• Science of Emotion and Sensibility
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• 제26권3호
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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.

• International Journal of Advanced Culture Technology
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• 제9권3호
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• pp.86-91
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• 2021

This study starts with the premise that many problematic situations in modern society can seriously damage personal feelings and that this phenomenon can create anxiety in individuals and society. In order to address such anxiety in individuals and society, we would like to propose measures to heal emotions. Accordingly, 270 research trends related to emotions studied from 2005 to 2020 will be analyzed to establish the direction of future research on emotion healing. As a result of analyzing the trends of healing papers, active healing studies have been conducted since 2010, but reading and writing healing through specific academic societies has been the main focus. Theoretical research accounted for a large portion, and emotional research was steadily conducted. Although healing methods are expanding to various topics, they have not been commercialized as specific methods. As a result, we hope that concrete research to heal individual emotions will be expanded and measures to implement a stable future society will be proposed.

• Korean Journal of Child Studies
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• 제33권2호
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• pp.55-68
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• 2012

The goals of this study were to examine how children's recognition of various emotions, emotion expression, and social interactions among their peers differed according to their attachment styles. A total of 65 three to five years old children completed both attachment story-stem doll plays and a standard emotion recognition task. Trained observers documented children's valence of emotion expression and social interactions among their peers in the classroom. Consistent with attachment theory, children who were categorized as secure in the doll play were more likely to express positive emotions than children who were categorized as avoidant in the doll play. Children who were categorized as avoidant in the doll play were more likely to express neutral emotions among their peers than children who were categorized as secure and anxious in the doll play. The findings of this study contribute to the general attachment literature by documenting how attachment security plays a crucial role in having positive emotions in ordinary situations. It does so by also demonstrating how different attachment styles are associated with children's qualitatively different patterns of emotion processing, especially in terms of their expression of emotions.