• Information Systems Review
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• v.26 no.2
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• pp.59-81
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• 2024

Online consumer reviews provide a variety of information from the customer perspective in terms of satisfaction and dissatisfaction. Negative emotional expression is a potential antecedent of review usefulness, and can also influence potential consumers' attitudes and decisions. In addition, because national culture provides a perspective from which individuals view the world and act, it is highly likely that differences in negative emotional expression will occur depending on culture. This study explores the relationship between national culture and negative emotional expression based on impression management theory and ultimately analyzes the impact on review usefulness. For empirical analysis, 16,076 reviews of 140 hotels located in Seoul were collected and analyzed using the PLS-SEM method. As a result of the analysis, it was found that power distance and masculinity culture dimensions had a positive effect on reviewers' negative emotional expressions, while uncertainty avoidance and long-term orientation had a negative effect. In addition, negative emotional expression was analyzed to have a positive effect on review usefulness even when review ratings were controlled.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1099-1106
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• 2006

정신질환자들은 자기감정을 표현하는 능력의 결손을 보인다. 이러한 자기 감정표현기술은 정신질환자들을 위한 사회기술훈련 (Social Skill Training) 과정 중 하나로서 정상적인 사회생활로의 복귀를 위해 반드시 필요하다. 지금까지의 자기감정표현 훈련 및 평가 방법은 치료자 능력의 차이에 따른 주관적 판단이 개입될 수 있다는 문제점을 가지고 있다. 가상현실 (Virtual Reality)은 컴퓨터를 이용한 최신의 방법으로, 최근 자폐증이나 공포증 등의 정신질환 분야에도 적용되고 있다. VR 을 사용하면 상호작용을 할 수 있고, 다양한 환경과 자극을 제시할 수 있으며, 3 차원 랜더링을 통해 몰입감을 제공할 수 있다. 또한 저장된 파라미터들을 바탕으로 객관적 판단을 할 수 있는 기준을 제시할 수 있으며, 안전하고 시간과 공간적 제약이 적은 환경 내에서 과제를 수행할 수 있다. 이에 본 연구에서는 자기감정표현기술의 객관적 평가를 위한 가상현실 시스템을 개발하고 정신분열증 환자와 정상인을 대상으로 실험을 진행하였다. 가상현실은 크게 긍정적 상황과 부정적 상황으로 이루어 지는데 집, 카페, 빵집, 길거리 등 다양한 환경에서 가족, 친구, 직장동료 등의 아바타가 실험 참가자에게 말을 건네고 참가자는 적절한 시기에 자신의 감정표현을 하도록 구성하였다. 실험을 하면서 정서 (긍정적 상황 Vs. 부정적 상황)에 따른 자기감정표현에 대한 파라미터로서 아바타가 말하는 동안 참가자가 아바타의 말에 주목을 하는 정도 (아바타가 말하는 동안 참가자가 아바타의 얼굴을 쳐다보는 시간)와 자기감정을 표현을 하는 시간 (아바타의 말이 끝난 후 감정표현을 시작하는 시간과 감정표현시간)과 상대방 아바타를 주목하는 정도 (참가자가 자기감정을 표현하는 중 아바타를 쳐다보는 시간) 등을 측정하였다. 측정결과 정상인이 정신분열병 환자에 비해 아바타를 주목하는 시간이나 자기감정표현을 하는 시간이 더 긴 경향이 있었다. 또한 부정적 상황에서 정신분열병 환자와 정상인 모두가 긍정적 상황에 비해 말하는 아바타에 더 잘 주목하였고, 자기감정을 표현하는 시간도 더 긴 것을 확인 하였다. 따라서 본 연구에서 도출된 파라미터는 실험 참가자의 자기감정표현의 정도를 객관적으로 나타낼 수 있을 것으로 생각된다. 또한 정신분열병 환자의 자기 감정표현능력을 측정하는 도구로 사용될 수 있을 것으로 생각된다.

• Journal of The Korean Association For Science Education
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• v.36 no.2
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• pp.231-251
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• 2016

The goal of the study was to examine pre-service teachers' emotional experiences, especially during student teaching. The following questions guided this study. First, during student teaching, what are the characteristics of emotional experiences of pre-service science teachers? Second, what are used as the emotional rules and strategies by student teacher? In this study, we tracked nine pre-service science teachers over a four-week period of the student teaching. The data sources were lesson observations, interviews, emotional journals, and video-recorded classroom lessons. Results showed that student teachers experienced various 25 different types of emotions which were reported as the primary emotions of Koreans. The main subjects for interaction for positive emotions were students. For negative emotions, students, teachers and student teachers themselves all resulted in such negative emotional experiences. When the student teachers experienced negative emotions, they followed the emotional rule that their emotions should not be expressed in front of the students. Because of this, they tried various strategies for controlling emotions, such as 'understanding students', 'finding the positive side', 'seeing good students', 'ignoring', 'holding back', 'evading', and 'giving up'. Finally, suggestions for teacher education were discussed.

• Archives of design research
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• v.17 no.2
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• pp.199-208
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• 2004

In cyberspace based on internet, users constitute communities and interact one another. Avatar means not only the other self but also the 'another being' that describes oneself in the cyberspace. If user's avatar shows expressive faces and behaves according to his thinking and emotion, he will have a feel of reality much more in the cyberspace. If avatar's countenances can be animated by just typing characters in avatar-based chat communication, the user is able to express his emotions more effectively. In this study, emotion-expressing vocabulary is analyzed and classified. Emotion-expressing vocabulary is essential to develop self-reactive avatar system in which avatar's countenances are automatically converted according to the words typed by users at chat. The results are as follows; First, emotion-expressing vocabulary selected out of Korean adjectives and intransitive verbs is made up of 209 words and is classified into 25 groups. Second, there are only 2 groups out of the 25 groups for positive expressions and others are for negative expressions. Therefore, negative expressions are more abundant than positive expressions in Korean vocabulary. Third, avatar's countenances are modelled according to the 25 groups by using the Quantification Method 3. The result shows that the emotion-expressing vocabulary has dose relations with avatar's countenances and is useful to communicate users' emotions. However, this study has some limits, in that Korean linguistical structure - the whole meaning of context - cannot be interpreted quantitatively.

• Journal of The Korean Association For Science Education
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• v.37 no.4
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• pp.705-717
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• 2017

The purpose of the study is to explore secondary science teachers' emotional display rules, types of emotional labor, science-specific emotional display rules and the episodes of emotional labor. For this purpose, the survey to measure emotional labor of science teachers (The Emotional Labor of Science Teaching Scale: TELSTS) was developed and the participants were 145 secondary science teachers in Korea. Results showed that first, secondary science teachers recognized the emotional display rules defined by their schools, especially, positive display rules. Second, secondary science teachers showed that they were carrying out emotional labor in order to keep their emotional display rules in check. The mean value of responses to deep acting was high. Also, there were statistically significant differences in emotional labor depending on whether they were full-time or part-time teachers and their teaching career. Third, as a result of analyzing the specificity of science teachers, it was mainly related to the objective and logical image of science, and experimental instruction. Seventy-four percent (74%) of responses were negative or neutral emotional display rules. Finally, implications for science education are discussed.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.1-11
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• 2021

The users of a chatbot messenger can be better engaged in the conversation if they feel intimacy with the chatbot. This can be achieved by the chatbot's effective expressions of human emotions to chatbot users. Thus motivated, this study aims to identify the appropriate emotional expressions of a chatbot that make people feel the social presence of the chatbot. In the background research, we obtained that facial expression is the most effective way of emotions and movement is important for relationship emersion. In a survey, we prepared moving text, moving gestures, and still emoticon that represent five emotions such as happiness, sadness, surprise, fear, and anger. Then, we asked the best way for them to feel social presence with a chatbot in each emotion. We found that, for an arousal and pleasant emotion such as 'happiness', people prefer moving gesture and text most while for unpleasant emotions such as 'sadness' and 'anger', people prefer emoticons. Lastly, for the neutral emotions such as 'surprise' and 'fear', people tend to select moving text that delivers clear meaning. We expect that this results of the study are useful for developing emotional chatbots that enable more effective conversations with users.

• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.207-217
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• 2014

Many a number of policies have been tried to reduce auto accidents so far, but it is obvious that further studies are still needed to find a more fundamental and multi-dimensional preventive measure with effect. The National Mental Health Statistics shows that the most profound forms of negative emotions, that is, depression and anxiety, have been increasing, but studies on such a topic are scarce to find. Therefore, we conducted a structural analysis between the negative emotions, including depression and anxiety, of drivers and their driving behaviors using a Structural Equation Modeling(SEM) technique. The review of past literature and studies indicated that not all of human emotions manifest themselves as the ultimate behaviors because they go through emotion regulation Strategies. For this reason, the purpose of this study was set to analyze the structural model developed in this study reflecting the emotion regulation strategies. The result of our analysis showed that the driver's negative emotion had a more significant influence on dangerous driving behaviors than safe ones, and especially, the expressive suppression strategy was found to be the highest factor. Also, the total effect analysis with the negative emotional factors showed that expressive suppression had more significant influence compared to that of cognitive reappraisal. The implication of this study might provide a better understanding on driving behaviors of the drivers and could be used as a fundamental study for future policy development to reduce traffic accidents.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.4
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• pp.328-334
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• 2016

The everyday life of police officers requires them to face a number of criminal acts and enter compromising crime scenes. In this case, officers may be compelled to make a personal expression of negative emotions. Negative emotions of members confidence for effective job processing and contributions duties and achievement of the job within the marine police force. Therefore, to control the emotive dissonance of organization members is a great help to the development of the organization. This study focuses on emotional dissonance among marine police officers to verify the impact of this dissonance on job burnout and consider the mediating effect of emotional intelligence. Research results are as follows: First, the relationship between emotional dissonance sub-factors and job burnout among marine police officers was studied. It was found that marine police did not feel emotionally jarred because they consciously tried to abstain from emotional engagement, but this was found to reduce emotional intelligence as related to desired emotions as well. Second, Emotional intelligence of the Marine Police was found on a significant impact on job burnout. Third, the impact of emotions in relation to emotional dissonance that job burnout of marine police intelligence officials confirmed that there is a statistically significant mediating effect. Finally, in a comparison of direct effects versus mediated effects, marine police were seen to be prone to emotional dissonance and experienced job burnout as a direct result of applying greater emotional intelligence.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.445-455
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• 2022

Financial service chatbots are hindering user experience with conversational errors and machine-like responses. This study aims to examine the effect of self-disclosure and emotional expression of an anthropomorphic chatbot on user experience before conversation errors occur in financial services. In financial inquiries, scenarios were designed based on self-disclosure type (positive vs. negative) and emotional expression level(high confident vs. low confident), and online experiments were conducted. The result revealed that when anthropomorphic chatbot provided self-disclosure and emotional expression, the main effect has been shown on trust, annoyance, service recovery, and intention to continuous use. In addition, interaction effects were significant in trust and annoyance. In conclusion, this paper demonstrated that anthropomorphic chatbot's positive self-disclosure and confident emotional expression influenced trust and annoyance.

• 기호학연구
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• v.55
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• pp.169-193
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• 2018

This paper deals with the formation and communication of negative emotions in war focusing on Ganyangnok(看羊錄). To this end, attention is paid to modal structure of the negative emotions that can be experienced in war and discourse strategy to maintain resilience. The subject of Ganyangnok is in a situation where personal 'will'(want) and social 'duty'(must) are frustrated during the Japanese invasion of Imjinwar. At this time, the subject experiences mental depression conditions such as loss of existence and anxiety through the frustration of personal will and anger and hostility to external objects through frustration of social duty. Then the subject develops resilience to write poetry about negative emotion and to write about the process of proving the legitimacy of existence. In other words, the subject recovers the negative emotions experienced in the war through writing. Through the above discussion, this paper can analyze the negative emotions surrounding the subject logically through 'modal structure' and can see the restorative writing which appeared differently according to the 'modal structure'. This can provide new perspectives on the situation in which the subject is placed on the restorative writing about negative emotions in various contexts.