• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권1호
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• pp.27-32
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• 2006

Verbal communication is the most commonly used mean of communication. A spoken word carries a lot of informations about speakers and their emotional states. In this paper we designed a model to recognize emotional states in a speech, a first phase of two phases in developing a toy machine that recognizes emotional states in a speech. We conducted an experiment to extract and analyse the emotional state of a speaker in relation with speech. To analyse the signal output we referred to three characteristics of sound as vector inputs and they are the followings: frequency, intensity, and period of tones. Also we made use of eight basic emotional parameters: surprise, anger, sadness, expectancy, acceptance, joy, hate, and fear which were portrayed by five selected students. In order to facilitate the differentiation of each spectrum features, we used the wavelet transform analysis. We applied ANFIS (Adaptive Neuro Fuzzy Inference System) in designing an emotion recognition model from a speech. In our findings, inference error was about 10%. The result of our experiment reveals that about 85% of the model applied is effective and reliable.

• 한국컴퓨터정보학회논문지
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• 제18권5호
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• pp.43-52
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• 2013

대량의 음악 콘텐츠가 유통되는 초고속 인터넷 환경에서, 사용자가 원하는 음악 콘텐츠를 효과적으로 검색하기 위한 연구들이 다양하게 수행되고 있다. 특히, 음악 정보 검색(MIR: Music Information Retrieval) 연구에 감성 모델을 접목한 음악 추천 시스템 개발도 활발하게 진행되고 있다. 그러나, 적용된 감성 모델이 단순하고, 한국어를 대상으로 하지 않아 한국어의 의미적 감성 표현 처리에 한계점을 가진다. 따라서, 본 논문에서는, 한국어를 기반으로, 기존의 감성 모델을 확장한 새로운 감성 모델(KORean Emotional Model : KOREM)을 제안하고, 이를 온톨로지(Music EMotional Ontology : MEMO)로 설계 및 구현하였다. 이를 통해, 한글로 서술된 폭넓고 다양한 감성적 표현을 이용한 음악 콘텐츠의 분류, 저장 및 검색이 가능하다.

• Journal of the Korean Data and Information Science Society
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• 제27권1호
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• pp.143-154
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• 2016

본 연구는 Morris과 Feldman (1997)의 모형을 기반으로 선행요인과 결과를 포괄하는 감정노동 모형을 구축하고 간호사를 대상으로 이를 검증하였다. 자가보고식 설문지를 이용한 조사연구로서 상급종합병원 또는 종합병원에 근무하는 247명의 간호사를 대상으로 자료를 수집하였다. 모형 적합성 분석 결과 표준카이자승치 2.31, 표준적합지수.94, 비교적합지수.97, 근사원소평균자승잔차.07 등으로 나타나 설정한 모형이 간호사의 감정노동을 설명하는데 적합한 것으로 나타났다. 구조모형의 경로분석 결과, 직무자율성과 조직지원은 감정노동에 유의한 영향을 미쳤고, 감정노동은 감정적 소진에는 유의한 정적 영향을, 직무만족과 조직몰입에는 유의한 부적 영향을 미치는 것으로 나타났다. 결론적으로 간호사의 직무특성과 조직의 지원은 감정노동을 매개로 하여 결과변수인 감정적 소진과 직무만족, 그리고 조직몰입에 영향을 미치고 있음을 알 수 있었다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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• pp.23-27
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• 2000

In this paper, we propose an emotional evaluation model based on information fusion. This model can transform the physical features of a color pattern to the emotional features. Our proposed model consists of the fuzzy logic system and neural network model. The evaluation values produced by them were fused. The model shows comparable performances to the neural network and fuzzy logic system for the approximation of the nonlinear transforms. We believe the evaluated results of a color pattern can be used to the emotion-based color image retrievals.

• 아동학회지
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• 제25권6호
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• pp.171-189
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• 2004

Children develop emotional intelligence during the early years of life, and according to experts, emotional intelligence(EI) is a more reliable predictor of academic achievement than IQ. However, nowadays children appear to be low on emotional well-being. This has potentially negative consequences, not only for academic achievement but also for personal relationships. The purpose of this study was to develop emotional education program for young children(EEPYC). In this study, EI is defined to carry out reasoning in regard to emotions and to use emotion for enhancement of thought. Designed to facilitate development of young children's EI. EEPYC is based on the four branch model, which is mental EI model and based on the guiding principle of Collaborative to Advance Social and Emotional Learning. The subgroups(curricular) that compose EEPYC are Emotional Perception, appraisal, and expression, Self-recognition program, Self-esteem program, Emotional Stress Regulation, Emotional problem solving & conflict resolution. EEPYC has the potential of fostering emotional intelligence. Moreover, EEPYC can promote a motivation, prosocial activity, and regulation of stress. This helps young children to develope cognition and emotion in harmonious fashion.

• 센서학회지
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• 제30권6호
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• pp.429-435
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• 2021

In this study, the creation of emotional dialogue was investigated within the process of developing a robot's natural language understanding and emotional dialogue processing. Unlike an English-based dataset, which is the mainstay of natural language processing, the Korean-based dataset has several shortcomings. Therefore, in a situation where the Korean language base is insufficient, the Korean dataset should be dealt with in detail, and in particular, the unique characteristics of the language should be considered. Hence, the first step is to base this study on a specific Korean dataset consisting of conversations on emotional topics. Subsequently, a model was built that learns to extract the continuous dialogue features from a pre-trained language model to generate sentences while maintaining the context of the dialogue. To validate the model, a chatbot system was implemented and meaningful results were obtained by collecting the external subjects and conducting experiments. As a result, the proposed model was influenced by the dataset in which the conversation topic was consultation, to facilitate free and emotional communication with users as if they were consulting with a chatbot. The results were analyzed to identify and explain the advantages and disadvantages of the current model. Finally, as a necessary element to reach the aforementioned ultimate research goal, a discussion is presented on the areas for future studies.

• 로봇학회논문지
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• 제2권4호
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• pp.341-345
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• 2007

This paper proposes an emotional interaction model between human and robot using an android. An android is a sort of humanoid robot that the outward shape of robot is almost the same as that of human. The android is a robot platform to implement and test emotional expressions and human interaction. In order to behave for the android like human, a structure of internal emotion system is very important. In our research, we propose a novel emotional model of android based on biological hormone and emotion space. Proposed emotion model has an advantage that it can represent emotion change as time by hormone dynamics.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2013년도 춘계학술대회 논문집
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• pp.677-678
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• 2013

• 한국항공운항학회지
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• 제25권4호
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• pp.76-82
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• 2017

I studied existing research and thesis which are relating emotional labor, job-related stress, and service level to set up the structural model and potential factors that form this structural model. The result showed that emotional labor is affecting job-related stress, service delivery level and customer-oriented activities. And service delivery level is affecting customer-oriented activities under 95% confidence levels. Also from the analysis of group survey by working group, check-in agent's emotional labor is affecting on job-related stress, service delivery level and customer-oriented activities. And service level is affecting on customer-oriented activities. By the result of how emotional labor and customer-oriented activities are related, I strongly believe it contributed the study of emotional labor theory.

• 음성과학
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• 제5권1호
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• pp.35-47
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• 1999

This paper describes procedures to model and synthesize emotional speech in a multimedia environment. At first, procedures to model the visual representation of emotional speech are proposed. To display the sequences of the images in synchronized form with speech, MSF(Multimedia Speech File) format is proposed and the display software is implemented. Then the emotional speech sinal is collected and analysed to obtain the prosodic characteristics of the emotional speech in limited domain. Multi-emotional sentences are spoken by actors. From the emotional speech signals, prosodic structures are compared in terms of the pseudo-syntactic structure. Based on the analyzed result, neutral speech is transformed into a specific emotinal state by modifying the prosodic structures.