• 복식문화연구
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• 제17권3호
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• pp.459-471
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• 2009

The purpose of the study is to examine the effect of VMD image appropriateness in apparel shopping contexts. Two competing models are utilized. The first model is developed from the emotion-cognition theory which explains that environmental cues(i.e., VMD image appropriateness) generate consumers' emotion, and in turn, consumers' behaviors. The second model is developed based on the cognitive theory of emotions and posits that environmental cues stimulates consumers' cognitive perceptions of retail environments, subsequently influencing consumers' emotional and behavioral response. A 2(VMD image appropriateness: high vs. low) between-subjects factorial design experiment was conducted. Female college students(n=592) participated in the experiment. Using structural equation modeling the study found that the emotion-cognition model better explains the effect of VMD image appropriateness on consumers' emotional, cognitive, and behavioral responses.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 추계학술대회논문집
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• pp.762-766
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• 2002

This paper describes the emotion recognition algorithm using HMM(Hidden Markov Model) method. The relation between the mechanic system and the human has just been unilateral so far. This is the why people don't want to get familiar with multi-service robots of today. If the function of the emotion recognition is granted to the robot system, the concept of the mechanic part will be changed a lot. Pitch and Energy extracted from the human speech are good and important factors to classify the each emotion (neutral, happy, sad and angry etc.), which are called prosodic features. HMM is the powerful and effective theory among several methods to construct the statistical model with characteristic vector which is made up with the mixture of prosodic features

• 전기전자학회논문지
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• 제24권4호
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• pp.998-1003
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• 2020

본 논문에서는 기존 감정 인식 시스템의 성능 향상을 위하여 감정 적응을 사용한 감정 학습 방법이 제안되었다. 감정 적응을 위하여 적은 개수의 학습 감정 음성과 감정 적응 방식을 사용하여 감정이 없는 음성 모델로부터 감정 음성 모델이 생성되었다. 이러한 방법은 기존 방법보다 적은 개수의 감정 음성을 사용하여도 우수한 성능을 나타내었다. 학습을 위하여 충분한 감정 음성을 얻는 것은 쉽지 않기 때문에 적은 개수의 감정 음성을 사용하는 것은 실제 상황에서 매우 실용적이다. 4가지 감정이 포함된 한국어 데이터베이스를 사용한 실험 결과에서 감정 적응을 이용한 제안된 방법이 기존 방법보다 우수한 성능을 나타내었다.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 1부
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• pp.152-157
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• 2008

인간은 감정을 인지하는데 있어 시각을 많이 사용한다. 인간은 감정을 인지하는데 있어 시각을 많이 사용한다. 빛에 의해 물체를 지가하며 색채의 한가운데 살아간다. 그만큼 색채는 우리 생활과 매우 밀접하게 관련되어있어 많은 시각정보 중에서도 색채에 대해 민감하게 받아들인다. 그래서 감정을 색채로 표현한다면 직관적으로 받아들일 수 있다. 본 논문은 색상과 감정 간의 관계연구를 통한 색상을 이용한 감정표현을 목적으로 한다. 정서를 동그라미 모형으로 표현한 Plutchik의 정서동그라미와 색상을 동그라미 모형으로 표현한 모세스 해리스의 해리스1은 기준 축을 중심으로 결합하여 다른 감정을 찾아내거나 색채가 만들어지기 때문에 색상과 감정 간의 관계연구를 하는데 사용하였다. 두 모델의 유사특징을 이용해 Plutchik의 정서동그라미에서 기본이 되는 감정을 선택해 비슷한 느낌과 특정을 가지는 색상을 모세스 해리스의 해리스1에서 찾아 감정을 매칭 시키는 방법으로 색상환을 이용해 감정을 표현한다. 색상과 감정 간의 매칭 만족도를 알아보기 위해서는 감정의 자극이 계속적으로 들어와 많은 감정의 변화를 실시간으로 확인할 수 있어야 한다. 비행슈팅 게임은 여러 가지 감정의 자극이 계속적으로 들어오고, 실시간으로 감정의 변화를 확인할 수 있기 때문에 본 연구를 적용하기에 적합하다. 따라서 비행슈팅게임의 캐릭터 색상으로 적용해보았다.

• 한국조리학회지
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• 제20권5호
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• pp.111-118
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• 2014

This study sought to describe the relationships among physical environment, self-congruity, positive emotion, and revisit intentions in the coffeehouse setting. This study adopted second-order factor of physical environment in a structural equation model, imploying trend(fashion), cleanliness, reliability, spatial, convenience, and appropriacy as the second-order factors. The conceptual model in this study used responses from 338 college students who visited coffeehouse at least once in the past month. The proposed relationships were analyzed using SPSS 20.0 and AMOS 6.0. The results of data analysis indicated that the six secondorder factors of physical environment significantly affected coffeehouse visitor's self-congruity and positive emotion, and self-congruity as well as positive emotion significantly influenced revisit intentions. Further discussion and theoretical/practical implications of the findings along with directions for future studies are provided. In essence, the findings highlight significant role of coffeehouse's physical environment toward self-congruity and positive emotion in the formation of customer's revisit intentions in the coffeehouse context.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 춘계학술대회 학술발표 논문집
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• pp.199-202
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• 2001

We, Human beings, use both powers of reason and emotion simultaneously, which surely help us to obtain flexible adaptability against the dynamic environment. We assert that this principle can be applied into the general system. That is, it would be possible to improve the adaptability by covering a digital oriented information processing system with an analog oriented emotion layer. In this paper, we proposed a vertical slicing model with an emotion layer in it. And we showed that the emotion-based control allows us to improve the adaptability of a system at least under some conditions.

• Child Studies in Asia-Pacific Contexts
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• 제4권1호
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• pp.1-12
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• 2014

Emotion is a central feature of social interactions. In this study, we examined age-related changes in emotion expressiveness and emotion knowledge and how young children's emotion expressiveness and knowledge were related. A total of 300 children attending a daycare center contributed data for the study. Observation and interview data relevant to measures of emotion expressiveness and knowledge were collected and analyzed. Both emotion knowledge and expressed positive affect increased with age. Older preschool children expressed positive affect more frequently than did younger preschoolers. Older preschool children also labeled, recognized, and provided plausible causes mores accurately than did younger preschool children. In addition, we tested whether children's errors on the free labeling component conform to the structural model previously suggested by Bullock and Russell (1986) and found that preschool children were using systematic strategies for labeling emotion states. Relations between emotion expressiveness and emotion knowledge generally were not significant, suggesting that emotional competence is only gradually constructed by the child over the preschool years.

• 전자공학회논문지CI
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• 제48권6호
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• pp.35-46
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• 2011

본 논문에서는 피셔 선형 분리(FLD, Fisher's Linear Discriminant) 기반의 단계적 분류를 이용한 감성 인식 기법을 제안한다. 제안하는 기법은 2종 이상의 감성에 대한 다중 클래스 분류 문제에 대하여, 이진 분류 모델의 연속적인 결합을 통해 단계적 분류 모델을 구성함으로써 복잡도 높은 특징 공간상의 다수의 감성 클래스에 대한 분류 성능을 향상시킨다. 이를 위하여, 각 계층 단계의 학습에서는 감성 클래스들로 이루어진 두 개의 클래스 그룹에 따라 피셔 선형분리 공간을 구성하며, 구성된 공간상에서 Adaboost 방식을 이용하여 이진 분류 모델을 학습하여 생성한다. 각 계층 단계의 학습 과정은 모든 감성 클래스가 구분이 완료되는 시점까지 반복 수행된다. 본 논문에서는 MIT 생체 신호 프로파일을 이용하여 제안하는 기법을 실험하였다. 실험 결과, 8종의 감성에 대한 분류 실험을 통해 약 72%의 분류 성능을 확인하였고, 특정 3종의 감성에 대한 분류 실험을 통해 약 93% 분류 성능을 확인하였다.

• Asia pacific journal of information systems
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• 제27권1호
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• pp.38-53
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• 2017

As sensor technologies and image processing technologies make collecting information on users' behavior easy, many researchers have examined automatic emotion recognition based on facial expressions, body expressions, and tone of voice, among others. Specifically, many studies have used normal cameras in the multimodal case using facial and body expressions. Thus, previous studies used a limited number of information because normal cameras generally produce only two-dimensional images. In the present research, we propose an artificial neural network-based model using a high-definition webcam and Kinect to recognize users' emotions from facial and bodily expressions when watching a movie trailer. We validate the proposed model in a naturally occurring field environment rather than in an artificially controlled laboratory environment. The result of this research will be helpful in the wide use of emotion recognition models in advertisements, exhibitions, and interactive shows.

• 한국생활과학회지
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• 제18권6호
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• pp.1209-1219
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• 2009

The purpose of this study examined the path model of maternal emotional expression, temperament and self-esteem on emotion regulation among children. The subjects were 487 5th and 6th graders. Data was gathered through questionnaires reported by children and their mothers and analyzed by structural equation modeling. The results showed that children's 'activity level' temperament and maternal negative emotional expression directly affected maladaptive emotion regulation. Children's 'emotionality' temperament and maternal positive emotional expression directly affected adaptive emotion regulation. Children's 'approach-flexibility' temperament and self-esteem directly affected both maladaptive and adaptive emotion regulation. Maternal emotional expression and children's self-esteem mediated between children's temperament and emotion regulation. Additionally, the most important variable predicting children's maladaptive emotion regulation was the children's 'activity level' temperament, and the most important variable for adaptive emotion regulation was the children's 'emotionality' temperament.