• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.69-92
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• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.

• International Journal of Contents
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• v.18 no.3
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• pp.11-20
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• 2022

Human Emotion Recognition is an exciting topic that has been attracting many researchers for a lengthy time. In recent years, there has been an increasing interest in exploiting contextual information on emotion recognition. Some previous explorations in psychology show that emotional perception is impacted by facial expressions, as well as contextual information from the scene, such as human activities, interactions, and body poses. Those explorations initialize a trend in computer vision in exploring the critical role of contexts, by considering them as modalities to infer predicted emotion along with facial expressions. However, the contextual information has not been fully exploited. The scene emotion created by the surrounding environment, can shape how people perceive emotion. Besides, additive fusion in multimodal training fashion is not practical, because the contributions of each modality are not equal to the final prediction. The purpose of this paper was to contribute to this growing area of research, by exploring the effectiveness of the emotional scene gist in the input image, to infer the emotional state of the primary target. The emotional scene gist includes emotion, emotional feelings, and actions or events that directly trigger emotional reactions in the input image. We also present an attention-based fusion network, to combine multimodal features based on their impacts on the target emotional state. We demonstrate the effectiveness of the method, through a significant improvement on the EMOTIC dataset.

• Science of Emotion and Sensibility
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• v.1 no.2
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• pp.113-119
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• 1998

A new device introducing brief pulses of odorozed air synchronized with subject's respiration to human subjects creating a positive response was developed. By the using superimposition technique of an evoked potential the positive responses to skatole in normal subject's were distinguishable. The odorant pulse trigger was the subject's respiration. Responses to aerosolized skatole consisted mainly of a positive wave with a peak latency of approximately 150 ms. In our cases, saturation of responses was found after 4-5 averagings with the responses becoming most clear after 7-8 averagings. And in cases of Alzheimer disease very quick adaptation was recognized.

• Science of Emotion and Sensibility
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• v.25 no.1
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• pp.55-66
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• 2022

Many studies have shown that musical dissonance generally evokes negative affect, but few studies detail how distinct dissonant intervals, ranging in various roughness, influence emotions and cognition. This research entailed two experiments to confirm whether varying musical intervals of dissonance trigger particular negative emotions and increase cognitive interference. Experiment 1 assumed that different dissonant intervals would elicit distinct negative emotions. In a survey involving 131 participants, there was an overwhelming consensus that dissonant intervals elicited stronger high arousal negative affect than low arousal negative affect. The major 7th degree was found to evoke a significantly stronger feeling of scared. Experiment 2 investigated whether emotions-affecting dissonance would have an enhancing effect on cognitive interference. According to a color-word Stroop task conducted on 81 participants, the presence of any dissonant sound caused significantly higher reaction times and error rates than in the absence of sound. In particular, the minor 2nd degree was cognitively the most disruptive and associated with the slowest reaction times. This paper shows how different ranges of dissonance can effectively influence negative affect and heighten cognitive interference.

• Science of Emotion and Sensibility
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• v.22 no.4
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• pp.57-64
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• 2019

Anger is the most common emotional trigger causing relapses in individuals with alcohol use disorders (AUDs). The present study intended to investigate the autonomic nervous system (ANS) responses induced by anger in individuals with AUDs. The participants in this study included twelve individuals with AUDs and 14 non-frequent drinkers. Anger was induced in the participants via a 120-second film clip. Before the presentation of this audio-visual stimulus, the ANS responses of the participants were measured for 60 seconds to ascertain their resting state. Subsequently, the participants' ANS responses were measured again for 120 seconds when they were in an emotional state during the presentation of the clip. After the ANS measurements were taken, participants were asked to rate the type of emotion they had experienced as they viewed the film and to report its intensity. The results indicated that the levels of anger experienced by the AUD group were not significantly different from the emotion registered by the control group. However, the ANS responses induced in AUD participants when they were in an emotional state showed blunted skin conductance levels (SCL) and skin conductance responses (SCR) compared to the control group participants. Individuals with AUDs evinced lower emotional arousal than the participants of the control group. These results can help clinicians understand the psychological and physiological responses of individuals with AUDs to anger in order to design effective interventions that would reduce chances of anger and relapse.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.4
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• pp.625-639
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• 2015

The number of Chinese tourists visiting Korea has rapidly increased over the last decade. It is important to understand Chinese consumption patterns and shopping behavior because they have become major customers in the Korean fashion market. This study focuses on how Chinese tourists feel while shopping in Korea and how emotions influence their attitude towards purchased products. We examine how planned purchase and unplanned purchase impact shopping emotions and product usage satisfaction. A survey was conducted on 550 women between 20 and 60 years of age who have visited Seoul more than once with an online panel from an international survey firm. Data are analyzed using structural equation modeling by AMOS 20.0. Respondents were asked to recall most impressive fashion product that they bought in Korea during their recent visit and to answer if it was a planned or unplanned purchase. This study also measures emotions during product purchases and usage satisfaction. The respondents are categorized into heavy and light buyers according to purchasing power to determine the moderating effects of purchase amount. The results indicate that planned purchases tend to deliver positive emotions that enhance product usage satisfaction. In the case of unplanned purchases, without the mediating role of positive shopping emotions, it has a negative impact on product attitude and shows the importance of positive emotions during shopping. The influence of unplanned purchases on shopping emotions or product attitude in light buyers is not significant for the moderating effect of purchasing power. Only planned purchases trigger product usage satisfaction when it is mediated by positive emotions.

• The Journal of the Korea Contents Association
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• v.14 no.2
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• pp.364-375
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• 2014

The aim of this study was to exploring the experiences of life amomg alcoholics who suicide attempts. The main question of this study is "what the meaning and essence of experiences of life amomg alcoholics with suicide attempts?" The qualitative research method was taken for widely understanding and lively writing experiences of life amomg alcoholics who suicide attempts in the connection of eheir lives. As results, 12 categories appeared from 5 themes as data analysis. The major themes could be analyzed as "Continuing a dark confines of the psychology, emotion", "encounter with worthless oneself of the loath to admit", "The trigger inciting to suicide", "The roots of the drinking and suicide -living with fate", "Holding up a string of life". Based on these results, the practical implications for the alcoholics with suicide attempts had been discussed.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.865-874
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• 2020

In Vietnam, the airline service sector plays an important economic role. However, it is a complicated industry that is open to failures. Negative emotions are an essential variable for the airline service industry because they can trigger a variety of coping behaviors that affect consumer loyalty as well as the image and reputation of the airline service providers. However, negative emotions and the accompanying coping behaviors are often investigated partially or as separate issues, thus leading to an incomplete understanding. This study is conducted to fill this gap by proposing and testing the causal relationship between negative emotions (anger, frustration, regret) and coping behaviors (complaint, negative word-of-mouth (WOM), and switching intention) in the context of the airline industry. Eight research hypotheses are tested. Using the partial least squares structural equation modeling (PLS-SEM) on a sample of 587 passengers in Vietnam, the empirical results show that anger and frustration influence complaints, negative WOM, and switching intention, while regret leads to switching intention and negative WOM. Thus, the research has important academic and practical implications. The empirical outcome could be of major importance for airline companies in planning to provide new services and achieve high performance in the long run.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.408-416
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• 2017

This researcher looked at the characteristics of "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" acting techniques focused on body expressions and sought to utilize it as training method for modern actors. 'Body postponement as a symbol' is a key characteristic of "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" acting techniques, and each facial expression, gesture, and movement performed by an actor has a specific meaning. Therefore, the study on "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" has been treated as a major study mainly in the non-realistic expression style or the body-centered acting theory. Therefore, a study on "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" acting techniques was mainly dealt with as a major research subject in the nonrealistic expression style or body-centered acting theory. This study, on the other hand, emphasized the importance of research on the utilization plan of actor training, which can be usually used in realistic plays as well as non-realistic plays. According to psychologists such as Damasio and Eckman, internal impulses can also be triggered through expressions and actions associated with emotions. In addition, not only acting through the actor's inner impulse, but also expression of the actor's faithful external emotion can trigger the emotion of the audience. Such a case can be a psychological basis that "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" acting techniques, which defines rasa and expresses it physically, can be used as a methodology to enhance inner truth. Therefore, the study on the actor training utilizing ing "$N\bar{a}tya$ $\acute{s}\bar{a}stra$" can be applied as an effective approach in the study of contemporary acting theory which intends to integrate inner impulse and external expression.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.15-32
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• 2022

This study seeks to clarify the mechanisms of anthropomorphism and positive user experience. This study adopts the "computers are social actors" (CASA) paradigm to verify the causal relationship between social response and anthropomorphism and correctly explicate this paradigm. The intimacy-forming and anthropomorphizing effects of deep self-disclosure in interpersonal relationships were replicated in relationships between humans and conversational agents to induce both social response and anthropomorphism. Then, the mediating effect of intimacy on the anthropomorphizing effect of deep self-disclosure was explored with psychological models that revealed the causal relationships between social connections, including intimacy and anthropomorphism. Furthermore, we explored how intimacy and anthropomorphism trigger positive user experiences. The results demonstrated that the deeper the self-disclosure depth was, the more intimate and humanly the agent was perceived and the more positive the user experience was. In addition, the effect of self-disclosure depth on anthropomorphism and positive user experience was completely mediated by intimacy. This means that when using a computer with interpersonal characteristics, people anthropomorphize it and have a positive experience because people react socially to objects with social cues. This study bridges the gap between the CASA paradigm and anthropomorphism research, suggesting the possibility of psychological explanations for the principle of human-computer interactions. In addition, it explicates the mechanism of anthropomorphism and positive user experience, emphasizing the importance of social response-that is, intimacy.