• Journal of the Institute of Convergence Signal Processing
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• v.12 no.4
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• pp.228-236
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• 2011

Emotion recognition plays an important role in the research area of human-computer interaction, and it allows a more natural and more human-like communication between humans and computer. Most of previous work on emotion recognition focused on extracting emotions from face, speech or EEG information separately. Therefore, a novel approach is presented in this paper, including face, speech and EEG, to recognize the human emotion. The individual matching scores obtained from face, speech, and EEG are combined using a weighted-summation operation, and the fused-score is utilized to classify the human emotion. In the experiment results, the proposed approach gives an improvement of more than 18.64% when compared to the most successful unimodal approach, and also provides better performance compared to approaches integrating two modalities each other. From these results, we confirmed that the proposed approach achieved a significant performance improvement and the proposed method was very effective.

• Journal of Families and Better Life
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• v.26 no.3
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• pp.149-168
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• 2008

The objective of this study was to expand understanding of children's exposure to domestic violence in Korean society. In-depth personal interview was conducted by a researcher on individual experience of domestic violence in childhood. The findings of this qualitative study are summarized as follows; 1) A person who experienced domestic violence in childhood is likely to feel powerless, and think of himself/herself worthless. 2) He/She needs to have sufficient social support and protective networks. 3) A person who experienced parental violence in childhood is to suffer from people's negative behaviors such as social prejudice, preconception, and discrimination. 4) He/She is worried about the cycle of violence from generation to generation. 5) It is necessary for him/her to overcome his/her negative emotions acquired by the experience of domestic violence in childhood to have a constructive goal for the future.

• Journal of the Korea Society for Simulation
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• v.25 no.2
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• pp.93-100
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• 2016

The purpose of this study is to investigate the impacts of individual difference toward technology and situational influences on use intention of Self-Service Technology. While the previous research related to SSTs focuses on individual tendency toward technology, little research has been done on the impact of situational influences on usage intention of SSTs. This study proposed Technology Readiness Index for measuring individual tendency toward technology and categorized situational influences into two dimensions: location convenience, employee presence. The empirical testing of the research was conducted on 20' users who have prior experience in using SSTs except for ATMs in bank. This study demonstrated that the people who are favorable emotions positively affect SSTs. Also this study confirmed that it is effective to build strategies to form favorable attitude and usage intention of knowledge of SSTs rather than method through service employees. Finally, SSTs were distributed for customers.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.489-493
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• 2024

Happiness index is a measurement system for understanding collective happiness. As values change, studies have been proposed to add the value of behavior to the happiness index. However, there is a lack of studies analyze the relationship using individual emotions. Using a deep learning model, we predicted happiness index using social variables and individual emotional index. First, we collected social and emotional variables from January 2005 to December 2020. Second, we preprocessed the data and identified significant variables. Finally, we trained deep learning-based regression model. Our proposed model was evaluated using 5-fold cross validation. The proposed model showed 90.86% accuracy on test sets. Our model will be expected to analyze the significant factors of country-specific happiness index.

• Journal of Korea Game Society
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• v.10 no.2
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• pp.37-47
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• 2010

Along with language, emotion is an effective means of expression. By expressing our emotions as well as speaking language, we can deliver our message better. Because each person expresses the same emotion differently, this expression is a useful gauge to measure an individual personality. To avoid monotonous emotional expression from virtual characters, therefore, it is necessary to adjust the creation and deletion of the same emotion depending on each character's personality. This paper has attempted to define personality characteristics that have an impact on each emotion and propose a method to adjust the emotions. Furthermore, the relationship between particular emotion and personality characteristics has been defined by matching the significance of specified personality characteristics with the lexical meaning. In addition, using the Raw Score, the weighted value which is necessary for the adjustment, continuance and deletion of each emotion has been defined. Then, emotion was properly adjusted. When the same emotion was adjusted using actual personality test data, different results have been observed by personality. This paper has been conducted using NEO Personality Inventory (NEO-PI) which consisted of 5 broad domains and 30 sub domains.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1047-1050
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• 2015

Wearable device, along with IoT(Internet of Things), is considered the core of upcoming generation's convergence technology. Companies are intensely competing one another for prior occupation in the smartwatch market. Consumers that use smartwatch express their preferences by sharing their opinions through SNS(Social Networking Service). Through this study, emotions dictionary is built, which consists of attributes and emotional words related to smartwatch. Based on the emotions dictionary, SNS data has been categorized according to the attributes through opinion data model. Afterwards, overall polarity and attribute polarity of collected data are distinguished through natural language parsing, followed by an analysis of smartwatch reviews. This study will contribute to determination of which attributes of smartwatch to be improved, to arise consumer's interest for individual smartwatch.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.267-278
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• 2022

This paper was intended to examine the function of emotion that affects the accuracy of statements in the context of eyewitness testimony. The main emotion theories and concepts introduced in previous studies examining the relation between testimony accuracy and negative emotions were examined based on the characteristics of the research method. The results were presented in the order of emotion definition, emotion inducing method, and emotion measurement method. Specifically, the definition of emotion was described based on studies on negative emotions, arousal, stress, and mood. The emotion inducing method was mainly described based on images, virtual reality, and staged events designed by researchers, which have been mainly used in laboratories. Emotion measurement methods were described with respect to the self-report, behavioral checklist, and psychophysiology. In addition, the emotional approach for objective and scientific repeated verification, the importance of effective experimental design and appropriate scientific memory test, and the need for individual difference control were discussed. This paper reinterprets the contradictions shown by previous research by systematically structuring the function of emotion that affects the accuracy of testimony. It was meaningful to provide a frame for comparative analysis of related studies. Ultimately, it is expected that such knowledge will be used as basic documents for judging the reliability of eyewitness testimony in a legal context.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.6
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• pp.17-29
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• 2021

Recently, as social distancing have been raised due to the re-spread of COVID-19, the number of serial entrepreneurs who are closing their business is rapidly increasing. Learning from failure is a source of success, but business failure can result in psychological and economic losses and negative emotions of the serial entrepreneur. At this point, it is very important to find a way to recover the negative emotions caused by business failures of serial entrepreneurs. Recently, a strategic model has emerged to deal with the negative emotions of grief caused by business failures of serial entrepreneurs. This study identified the recovery factors from the grief of business failures of serial entrepreneurs and analyzed Shepherd's(2003) three areas: loss orientation, restoration orientation, and dual process. To this end, individual in-depth interviews were conducted with 12 small business serial entrepreneurs who challenged re-startup to identify the attributes of recovery factors that were not identified with quantitative data. As a result of the study, first, recovery factors were investigated in three areas: individual orientation, family orientation, and network orientation. It was found to help improve recovery in nine categories: self-esteem, persistence, personal competence, hobbies, self-confidence, family support, networks, religion, and social support. Second, recovery obstacle factors were investigated in three areas: psychological, economic, and environmental factors. Nine categories including family, health, social network, business partner, competitor, partner, fund, external environment, and government policy were found to persist negative emotions. Third, the emotional processing process for grief was investigated in three areas: loss orientation, restoration orientation, and dual process. Ten categories such as family, partner support, social member support, government support, hobbies, networks, change of business field, moving, third-party perspective, and meditation were confirmed to enhance rapid recovery in the emotional processing process for grief. The implications of this study are as follows. The process of recovering from the grief caused by business failures of serial entrepreneurs was attempted by a qualitative study. By extending the theory of Shepherd(2003), This study can be applied to help with recovery research. In addition, conceptual models and propositions for future empirical research were presented, which can be discussed in carious academic ways.

• Korean Journal of Cognitive Science
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• v.34 no.3
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• pp.227-241
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• 2023

This study aimed to examine the influence of emotional information on task switching performance from a cross-cultural perspective. Specifically we investigated whether the impact of affective information differs between Koreans and Caucasian when they perform a switching task using pictures that express positive and negative emotions. In this study, Korean and Caucasian college students were presented with either positive or negative faces and asked to perform either an emotion or a gender judgment task based on the color of the picture frame. The results showed that the switching cost from the gender judgment task to the emotion task was significantly larger than the switching cost from the gender task to the emotion task for both Koreans and Caucasians. This asymmetric switching cost was maintained when the previous and current pictures showed the same emotion but disappeared when two images presented different emotions. Regardless of the participant's cultural background, switching costs were greater for emotional tasks where the emotion was directly related to the task than for gender tasks. However, the effect of emotional switching on switching costs varied by the individual's background. Koreans were less sensitive to whether poser's emotion was changed than Americans. These results demonstrate that emotional information affects cognitive task performance and suggest that the effects of emotion may differ depending on the individual's cultural background.

• Science of Emotion and Sensibility
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• v.22 no.4
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• pp.45-56
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• 2019

The regulation of emotion is known to mediate the relationship between emotion-relevant differences in individuals and their life outcomes. This study attempted to include a situational factor in addition to the mediation model and investigated whether this conditional component changed the patterns of indirect effects. The researchers recruited 180 emotional laborers working in diverse domains and used a questionnaire to ascertain their negative affectivity, cognitive reappraisal, emotional exhaustion, and the intensity of negative comments they usually received from customers. The results of the conditional indirect effect analysis revealed the positive indirect influence of negative affectivity on emotional exhaustion through cognitive reappraisal when emotional labors receive highly negative comments from customers (high intensity of the situation). Similarly, negative indirect effects were found when emotional labors receive slightly negative comments from customers (low intensity of the situation). The outcomes of this study suggest that cognitive reappraisal can mediate to decrease emotional exhaustion in contexts that arouse more intensive negative emotions; it can also mediate to increase emotional exhaustion in contexts that arouse less intensive negative emotions. The implications of this study include the importance of integrating individual differences with situational factors. The study also provides information about the distinctiveness of groups of emotional laborers.