• Industrial Engineering and Management Systems
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• v.11 no.2
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• pp.142-147
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• 2012

Individuals with autistic spectrum disorders (ASD) have difficulty inferring other people's feelings from their facial expressions and/or from situational cues, and therefore, they are less able to respond with prosocial behavior. We developed a computer-based training program to help teach the connection between facial-based or situation-based emotions and prosocial behavioral responses. An 8-year-old male school child with ASD participated in the study. In this program, he was trained to identify persons in need of help and appropriate prosocial responses using novel photo-based scenarios. When he misidentified emotions from photographs of another's face, the program highlighted those parts of the face which effectively communicate emotion. To increase the likelihood that he would learn a generalized repertoire of emotional understanding, multiple examples of emotional expressions and situations were provided. When he misidentified persons expressing a need for help, or failed to identify appropriate helping behaviors, role playing was used to help him appreciate the state of mind of a person in need of help. The results of the training indicated increases in prosocial behaviors during a laboratory task that required collaborative work. His homeroom teacher, using a behavioral rating scale, reported that he now understood another's emotion or situation better than before training. These findings indicate the effects of the training are not limited to the artificial experiment situation, but also carried over to his school life.

• Journal of Gifted/Talented Education
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• v.25 no.1
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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.

• Journal of Environmental Science International
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• v.33 no.4
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• pp.279-282
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• 2024

This study aimed to verify the results of emotional analysis with respect to canine behavior as reported in the existing animal behavior field based on the dog vestibular emotional reflex (VER) principle, and to evaluate humans and animals based on empathy gained through true communication rather than human-centered interpretation. A total of 200 canines were divided into non-daily and daily situation groups (n=100 each). To assess the psychological and emotional state of each group, these changes were applied to the principle of VER, and six measurement values were selected: positive emotion (balance and energy), negative emotion (tension/anxiety and stress), and body condition (inhibition and neuroticism). The results showed a statistically significant difference (p<0.05) in positive emotions, negative emotions, and body conditions between the two groups. In addition, balance, energy, tension/anxiety, inhibition, and neuroticism were higher in the non-daily situation group than in the daily situation group, with an exception for stress. Compared with the canine daily situation groups, canine in the non-daily situation groups instinctively observed their surroundings to cope with possible threats, had decreased concentration, and elevated vitals due to high-intensity anxiety. This can be perceived as a state of immediate reaction to possible situations/threats. In conclusion, it was confirmed through Vibra Image technology that canine instability mainly affects three factors: positive emotion, negative emotion, and physical condition.

• Journal of Distribution Science
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• v.18 no.5
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• pp.35-47
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• 2020

Purpose: In the highly competitive franchise market, the perceived entrepreneurial passion and emotions of customers are very important, because it impacts on the success of companies. Thus, the purpose of this paper is to suggest how the impact of the franchise entrepreneurial passion and positive emotions on the brand trust and loyalty of customers. Research design, data and methodology: This study analyzes data was collected through questionnaires on customer(n=480) who had visited franchise restaurants. Analysis of used collected data was based on the mix method using quantitative and qualitative comparative analysis. Results: The quantitative analysis results showed inventing passion, developing passion, positive emotions that perceived by customers have a positive impact on brand trust. On the other hand, founding passion did not have an impact on loyalty in quantitative analysis. but when combined with developing passion in qualitative comparison analysis, but when combined with developing passion in qualitative comparison, that became the sufficient condition of high loyalty of customers. Conclusions: The franchisor of the Korean franchise industry is indiscriminately overusing the founding franchisees, causing social problems. In this situation, founding passion can have a negative impact on customers. Therefore, the franchisors must have management capabilities by strictly managing the founding rules of the franchisee and disclosing the corporate vision.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.9
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• pp.1398-1408
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• 2009

This study focuses on how positive emotions form when consumers impulsively purchase fashion products. Examined are the novelty seeking situations and the fashion knowledge of consumers as influential factors that affect positive impulsive shopping emotions along with the mediating role of the perceived risk of consumers for purchase and non-purchase. An online survey was conducted for the empirical research with a questionnaire about the fashion impulsive purchases of a product within the last 2 months. A total of 555 surveys were collected from impulsive female buyers and 404 complete responses were analyzed. The results find that the perceived risk is identified into purchase and non-purchase perspectives. Purchase perceived risk influenced negatively on positive emotions of impulsive purchase and non-purchase perceived risk positively. The perceived risk for non-purchase versus purchase increased by the more fashion knowledge consumers had and the more they shopped as novelty seeking. The results imply that non-purchase perceived risk importantly mediated between the influential factors and positive affect for impulsive purchase. Based on the findings, this study proposed some marketing suggestions and thoughts about effective purchase stimulation.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.82-91
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• 2023

In 2020 when the COVID-19 pandemic began in full-scale, the WHO Director-General warned of the dangers of an infodemic. The infodemic is a phenomenon in which false information spreads rapidly like an epidemic and causes chaos, and it was noted that the COVID-19 pandemic is not just limited to health problems, but also linked to a variety of issues such as human rights, economic inequality, various discrimination, hate speech, fake news, global governance etc. In the field of education, it is necessary to think about how to connect this global situation with school classes. Accordingly, this study suggested the direction for global citizenship education by analyzing how the infodemic spreads on Korean social media with the case of the recent global COVID-19 pandemic. According to the research results, the rate of negative emotions was higher than positive ones in the emotions that generate infodemic, while anxiety and anger were focused among negative emotions. In addition, the infodemic tended to spread widely with the feelings of anger rather than anxiety, and the feelings of anger led to advocating aggressive policies against certain country and regions. Therefore, global citizenship education is required to focus on a sense of duty and responsibility as a citizen, not on the level of national identity based on an exclusive sense of belonging. Furthermore, global citizenship education needs to lead to presenting a blueprint for education in a way that can enhance the awareness of the global community for joint response to global challenges and realize common prosperity based on sustainability and justice.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.7
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• pp.1317-1324
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• 2016

Utilizing the Arduino platform to express the emotions that reflect the colors expressed the jewelry. Emotional color expression utilizes Plutchik's Wheel of Emotions model was applied to the similarity of emotions and colors. It receives the recognized value from the temperature, lighting, sound, pulse sensor and gyro sensor of a smart jewelery that can be easily accessible from your smartphone processes that recognize and process the emotion applied the rules of inference based on ontology. The emotional feelings color depending on the color looking for the emotion seen in context and applied to the smart LED jewelry. The emotion and the color combination of contextual information extracted from the recognition sensors are reflected in the built-in smart LED Jewelry depending on the emotions of the wearer. Take a light plus the emotion in a smart jewelery can represent the emotions of the situation, the doctor will be able to be a tool of representation.

• Journal of Korea Multimedia Society
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• v.21 no.3
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• pp.400-414
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• 2018

It is required for today's video contents to interact with a viewer in order to provide more personalized experience to viewer(s) than before. In order to do so by providing friendly experience to a viewer from video contents' systemic perspective, understanding and analyzing the situation of the viewer have to be preferentially considered. For this purpose, it is effective to analyze the situation of a viewer by understanding the state of the viewer based on the viewer' s behavior(s) in the process of watching the video contents, and classifying the behavior(s) into the viewer's emotion and state during the flow. The term 'Flow-emotion-state' presented in this study is the state of the viewer to be assumed based on the emotions that occur subsequently in relation to the target video content in a situation which the viewer of the video content is already engaged in the viewing behavior. This Flow-emotion-state of a viewer can be expected to be utilized to identify characteristics of the viewer's Flow-situation by observing and analyzing the gesture and the facial expression that serve as the input modality of the viewer to the video content.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.40-46
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• 2020

With the development of the Internet, users share their experiences and opinions. Since related keywords are used witho0ut considering information such as the general emotion or genre of an unstructured document such as a movie review, the sensitivity accuracy according to the appropriate emotional situation is impaired. Therefore, we propose a system that predicts emotions based on information such as the genre to which the unstructured document created by users belongs or overall emotions. First, representative keyword related to emotion sets such as Joy, Anger, Fear, and Sadness are extracted from the unstructured document, and the normalized weights of the emotional feature words and information of the unstructured document are trained in a system that combines CNN and LSTM as a training set. Finally, by testing the refined words extracted through movie information, morpheme analyzer and n-gram, emoticons, and emojis, it was shown that the accuracy of emotion prediction using emotions and F-measure were improved. The proposed prediction system can predict sentiment appropriately according to the situation by avoiding the error of judging negative due to the use of sad words in sad movies and scary words in horror movies.

• Journal of The Korean Association For Science Education
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• v.40 no.5
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• pp.503-514
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• 2020

In a sense that achievement emotion is directly associated with achievement activity of students and its result, drastic changes in educational environment such as expansion of e-learning due to COVID-19 may have a large impact on the achievement emotion of students inevitably. However, studies on the foregoing still remain insufficient, and development of a questionnaire capable of making a quantitative measurement on the achievement emotion of students under the environment of e-learning may become the basis of relevant studies, so this study developed the e-learning Achievement Emotions Questionnaire-Korean Middle school Science(e-AEQ-KMS) and verified its validity. e-AEQ-KMS in this study was developed based on the Achievement Emotions Questionnaire-Korean Middle school Science (AEQ-KMS) and by reflecting characteristics of e-learning science class. With 226 questions in total, the questionnaire is composed to measure 9 kinds of achievement emotion such as enjoyment, hope, pride, relief, anger, anxiety, hopelessness, shame, and boredom under 3 academic situations of class situation, learning situation and testing situation. The result of this study has a great significance in the way that it set out a framework for making a comparative analysis quantitatively on the achievement emotion of Korean middle school students in science for e-learning classes.