• Proceedings of the Korea Database Society Conference
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• 2008.05a
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• pp.263-291
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• 2008

This study is designed to examine how emotional intelligence and cognitive intelligence affect customer satisfaction (social satisfaction, economic satisfaction) and long-term relational orientation of a service provider. The results of the study revealed that both cognitive intelligence of a service provider and economic satisfaction of customers have a positive relationship with longterm relational orientation, while only use and control of emotions except understanding emotions in the self and in others among emotional intelligence of a service provider have a positive, significant effect on social satisfaction of customers. As mentioned above, it can be said that the study is much more significant, at this point where previous studies failed to sufficiently recognize the importance and necessity of studies on emotional intelligence of a service provider. Moreover, the study is expected to provide useful foundations for training and development of employees in the service industry in practice.

• Korean Journal of Human Ecology
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• v.18 no.6
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• pp.1289-1302
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• 2009

본 연구의 목적은 웹페이지 배경과 브랜드가 소비자의 감정과 점포이미지에 미치는 영향을 조사하는데 있으며, 또한 소비자의 감정과 점포이미지가 소비자 행동의도에 미치는 영향을 조사하는데 있다. 본 연구는 가상의 웹싸이트를 활용하여 2 (웹페이지 배경: 유 vs. 무) $\times$ 2 (브랜드: 인지도 고 vs. 저) 집단간 실험설계를 하였다. 382명의 응답이 가설검증을 위한 연구결과 분석에 사용되었다. 본 연구의 결과를 살펴보면, 웹페이지 배경이 소비자의 긍정적 감정과 점포이미지에 유의미한 영향을 미치는 것으로 나타났으며, 브랜드의 경우 인지도가 점포이미지에 유의미한 영향을 미치는 것으로 나타났다. 또한 구조방정식 모형의 유의미한 결과를 살펴보면, 긍정적 감정이 점포이미지에 긍정적 영향을 미치는 것으로 나타났으며 점포이미지가 소비자 행동에 긍정적 영향을 미치는 것으로 나타났다. 본 연구는 이론적 측면에서 온라인 환경에 대한 연구분야에 공헌하였으며, 마케팅적 시사점을 제시하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.375-377
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• 2012

스마트폰과 같은 모바일 기기가 발전함에 따라 SNS, 모바일 메신저, SMS와 같은 단문 기반 메시지는 자신의 감정을 가장 잘 표현하는 매체이다. 그럼에도 불구하고 기존 연구는 주로 장문의 텍스트로부터 긍정, 부정 분류나 문서의 성향을 분석하는 것에 그치는 경우가 많다. 의미지향(Semantic Orientation)방법은 검색엔진을 통해 감정 키워드와 인지하고자 하는 단어의 동시 빈출 정도를 PMI로 계산한 것으로 WordNet과 같은 의미 사전이 존재하지 않는 한국어의 특성에서 적용 가능한 방법이다. 본 논문에서는 의미 지향성 및 다른 텍스트 기반 감정 분류 기술에 대해 비교하고 이들을 활용하여 한국어로 구성된 단문 텍스트에서 효율적인 감정 분류 기법을 제안하고자 한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1171-1180
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• 2019

Emotion is a psycho-physiological process that plays an important role in human interactions. Affective computing is centered on the development of human-aware artificial intelligence that can understand and regulate emotions. This field of study is also critical as mental diseases such as depression, autism, attention deficit hyperactivity disorder, and game addiction are associated with emotion. Despite the efforts in emotions recognition and emotion detection from nonstationary, detecting emotions from abnormal EEG signals requires sophisticated learning algorithms because they require a high level of abstraction. In this paper, we investigated LSTM hyperparameters for an optimal emotion EEG classification. Results of several experiments are hereby presented. From the results, optimal LSTM hyperparameter configuration was achieved.

• Proceedings of the KAIS Fall Conference
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• 2012.05a
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• pp.401-405
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• 2012

우리나라의 서비스 직업에 대한 고용비중이 점차 높아지고 있는 동시에 여성의 경제활동도 함께 증가하는 추세를 보여주고 있다. 또한 현재 경영의 환경에 있어서의 소비자들은 기업과의 직접적인 대면과 함께 우량의 서비스 품질을 요구하는 경영환경의 시대에 있다. 각 기업은 차별화 전략으로서 최상의 서비스 제공을 통한 고객 만족 극대화에 초점을 맞추고 있으며 특히, 서비스 기업에서 추구하는 고객만족 또는 서비스 만족도가 기업의 경쟁우의를 결정짓고 기업의 이미지를 표현하는 중요한 요인으로 여겨지고 있다. 이러한 고객만족을 중시하는 기업과 조직의 목표에 의해 대부분의 고객센터의 여성 근로자들은 조직이 요구하는 감정표현의 규범에 의해 자신의 감정이나 느낌을 고객에게 연출하도록 강요받고 있다. 근로자의 기분과 감정과는 관계없이 고객에게 미소와 친절을 보내야 하는 고객센터 근로자들은 감정노동을 하고 있는 것이다. 이에 본 연구에서는 서비스 산업 중에서도 여성인력에 대한 의존도가 높은 고객만족센터(텔레마케터 or 전화상담원)에 근무하는 여성근로자를 중심으로 감정적 부조화에 따른 감정노동이 직무스트레스에 미치는 영향에 대하여 알아보고 연구 결과를 통해 고객센터의 여성근로자들의 인적자원관리 차원에서 감정노동에 대한 인지와 직무스트레스 조절을 통한 관리에 시사점을 제안하고자 한다.

• Korean Journal of Psychosomatic Medicine
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• v.24 no.1
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• pp.54-60
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• 2016

Alexithymia is characterized by difficulties identifying and describing feelings, impoverished fantasy life, and concrete and poorly introspective thinking. Alexithymic patients have been reported to show a stable deficit with regard to processing and regulating emotions. Eating disorders are characterized by a persistent disturbance of eating or eating-related behavior that significantly impairs physical health or psychosocial functioning. Like alexithymic patients, patients with eating disorders show the impaired capacity to process and regulate emotions. There is a robust body of literature showing patients with eating disorders are more alexithymic than healthy controls. Specifically, patients with eating disorders experience difficulties identifying and describing emotions. Childhood maltreatment can increase the risk for depression and alexithymia, which can in turn lead to disordered eating symptoms. Also, higher levels of alexithymia are correlated with a less favorable clinical outcome in patients with eating disorder. Therefore, treatments to help processing and regulating emotions of eating disorder patients with pronounced alexithymic traits may seem to lead to a higher possibility of recovery.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.6
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• pp.881-887
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• 2018

Various services using smart phones are being provided, and a variety of services are also provided in payment fields. Since the mobile payment services is closely related to the monetary part, various characteristics of the mobile system have a close relation with use trust. In this study, accessibility, compatibility, and security were selected as important factors in the mobile payment systems. We will examine how these system factors affect users' cognitive trust, emotional responses such as positive emotions and satisfaction. We surveyed users of mobile payment systems to achieve our research purposes. SPSS 23 and SmartPLS 2.0 were used for the analysis. The results showed that all system factors influenced cognitive trust and emotional response. However, positive emotions did not affect satisfaction. However, when we examine the relationship between emotional responses, positive emotions do not affect satisfaction.

• 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 the Korean Institute of Intelligent Systems
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• v.18 no.6
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• pp.754-761
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• 2008

As the automobile industry and technologies are developed, driver's tend to more concern about service matters than mechanical matters. For this reason, interests about recognition of human knowledge and emotion to make safe and convenient driving environment for driver are increasing more and more. recognition of human knowledge and emotion are emotion engineering technology which has been studied since the late 1980s to provide people with human-friendly services. Emotion engineering technology analyzes people's emotion through their faces, voices and gestures, so if we use this technology for automobile, we can supply drivels with various kinds of service for each driver's situation and help them drive safely. Furthermore, we can prevent accidents which are caused by careless driving or dozing off while driving by recognizing driver's gestures. the purpose of this paper is to develop a system which can recognize states of driver's emotion and attention for safe driving. First of all, we detect a signals of driver's emotion by using bio-motion signals, sleepiness and attention, and then we build several types of databases. by analyzing this databases, we find some special features about drivers' emotion, sleepiness and attention, and fuse the results through Multi-Modal method so that it is possible to develop the system.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.26-47
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• 2023

In the age of digital media transformation, the rapid rise of social media has changed the paradigm of traditional marketing techniques by leveraging the influence of influencers. However, the influence of influencers cannot be freed from ethical issues that arise as individuals, so virtual influencers are emerging as a countermeasure. This study is a study on how to increase the influencer effect of virtual models with a focus on the MZ generation in medical service. This study investigated whether respondents in their 40s or younger were aware of 'Rosy', a virtual influencer, and then conducted a survey on those who recognized 'Rosy'. As a result of this study, first, both cognitive and emotional motivation had a positive influence on fanship and attractiveness for virtual influencer. In addition, it was found that there was a difference in follow motive according to gender. Second, in order to lead to the intention of visiting hospitals, which is the medical service industry, only the cognitive motives with useful and reliable information and useful information for the virtual influencer were found to be significant in intention to visit.