• 로봇학회논문지
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• 제5권3호
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• pp.224-230
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• 2010

As robots are no longer just working labors in the industrial fields, but stepping into the human's daily lives, interaction and communication between human and robot is becoming essential. For this social interaction with humans, emotion generation of a robot has become necessary, which is a result of very complicated process. Concept of mood has been considered in psychology society as a factor that effects on emotion generation, which is similar to emotion but not the same. In this paper, mood factors for robot considering not only the conditions of the robot itself but also the circumstances of the robot are listed, chosen and finally considered as elements defining a 2-dimensional mood space. Moreover, architecture that combines the proposed mood model and a emotion generation module is given at the end.

• 한국콘텐츠학회논문지
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• 제17권9호
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• pp.281-291
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• 2017

가상공간의 발달로 인해 비즈니스 환경의 변화도 가속화되고 있다. 이러한 환경에서의 커뮤니케이션은 의미전달 뿐 아니라 감성을 교류하는 감성 커뮤니케이션을 목표로 하고 있다. 그러나 사용자가 필요로 하는 감성에 관한 연구는 부족하다. 본 연구의 목적은 비즈니스 시나리오 기반으로 감성 어휘 모델링을 도출한 후, 해당 감성의 시선 요소를 분석하는 것이다. 이를 위해 417개의 관련 감성 어휘를 수집하여 적합성 검증 후 16개의 대표 어휘를 도출하였고, 다차원척도분석을 통해 2차원 공간에 맵핑하였다. 그 후, FGD를 통해 X축은 협력, 경쟁, Y축은 낮은 몰입, 높은 몰입으로 차원을 정의하였다. 52명의 피험자를 대상으로 해당 감성을 유발하는 자극을 제시하였고 시선 움직임 데이터를 수집하였다. 분석 프로그램을 통해 상대방의 얼굴, 오른쪽 눈, 왼쪽 눈, 코, 입을 관심영역으로 설정한 후, 평균 시간, 비율, 고정점, 다시 돌아오는 횟수의 데이터를 추출하였다. 독립 t-검정 결과, 협력일 때는 경쟁보다 얼굴, 눈, 코 영역에서 시선 요소가 증가하였고, 낮은 집중의 경우 높은 집중보다 오른쪽 얼굴, 코 영역에서 시선요소가 증가한 것을 확인하였다. 이는 가상공간에서의 비즈니스 환경에서 필요한 감성을 평가하는 데 기초 연구로써 활용가능 할 것으로 기대된다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2000년도 춘계 학술대회 및 국제 감성공학 심포지움 논문집 Proceeding of the 2000 Spring Conference of KOSES and International Sensibility Ergonomics Symposium
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• pp.149-156
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• 2000

The aim of this study is to propose the predictive index and analyze the effect of lightsources and colour image types in the residence and office interior.This study was consisted of four steps, and was carried out as follows. 1) The condition of experiment was set up by optical characteristic of lightsources and colours. 2) The scaled model space was manufactured for the evaluation of the same condition by each space. And, some piece of furniture was manufactured for the representation of each space. 3) The emotivity response of lightsources and colours was measured. 4) Results of the evaluation of lightsources and colours were compared and analyzed by conditions, and the predictive index was proposed by image types.

• 대한인간공학회지
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• 제30권1호
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• pp.187-193
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• 2011

Objective: The aim of this study was to investigate the association between conceptual metaphors of affect and physical dimensions. Background: The evidence that affect is unconsciously linked to physical dimensions(e.g., position and color) has been obtained in western cultures. However, in eastern cultures, especially, in Korea, it has been seldom tested. It is indispensable to examine whether or not cultural differences exist for better understanding of the conceptual metaphors. Method: 50 positive and 50 negative words were adopted from previous studies in order to determine the relationship between physical domains and abstract affect. Three hypotheses were tested in this study: (1) Good is up. (2) Good is bright. (3) Good is right(for right-handers). The automatic association between valence(positive vs. negative) and vertical position (up vs. down) was investigated in experiment 1, in which 100 words were randomly presented on either the top or the bottom of a LCD screen and the evaluation time of the presented word was recorded. The unconscious association between valence and color(white and black) was examined in experiment 2, where each word was randomly presented in either white or black. Lastly, we tested whether right-handers tend to associate rightward space with positive ideas and leftward space with negative ideas. Results: Reaction time was faster when words were presented in metaphor congruent domains(e.g., 'positive words on the top, in bright color, and on right space vs. negative words on the bottom, in dark color, and on left region) than when they were shown in metaphor incongruent domains. Conclusion: The results might give the groundwork for various directions in further understanding perception, emotion, and behavior. Application: This study may provide useful points to GUI designers and service developers if further studies enhanced in validity and reliability are followed.

• 한국실내디자인학회:학술대회논문집
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• 한국실내디자인학회 2006년도 춘계학술발표대회 논문집
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• pp.125-130
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• 2006

The various kinds of consumption belong to a general category and at the same time the expression of most basic aspiration in the human life. Since the ancient times, the consuming activities have lasted with the other basic activities and the consuming space conducting consumption has developed as physical devices along with the human history. Those companies that have been given attention and getting favorable impression currently being selected by the consumers are now concentrated on the storytelling marketing. The storytelling marketing is that the emotion-oriented marketing activities give consumers the opportunities to enjoy the product contained stories to put the stories to marketing activities. It approaches to consumer with human story emotionally rather than rationally and heart rather than mind. Recently, the architecture has become artistic either it was linked and contacted media or part of marketing. We think that the story telling marketing is the eternal triangle among art, architecture and marketing that is a propensity or movement to interior at this time. I found out that the storytelling marketing methodology is able to touch the consumer's heart and stimulate consumption aspiration that makes new circumstances and experience expressing space. And for that, effective marketing methodology is to give the consumers a more exciting and enjoyable motivation in accord with the modern society to give companies positive image to customers and accordingly for the companies to gain profits. The story telling space that is filled with ideas which produce new circumstance and experience using the established narrative and theme will be required continuously and able to develop in the future.

• 한국HCI학회논문지
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• 제5권1호
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• pp.19-24
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• 2010

색감정 형용사쌍을 이용하여 단색과 두가지 색을 조합한 배색에서 느낀 감정을 조사를 하였다. 열 개의 색감정형용사쌍을 이용해서 5개의 단색 컬러패치와 두가지 색을 조합한 10개의 배색 컬러패치의 색감정을 측정했다. 20명의 참가자들이 관측 실험에 참가했으며 같은 실험을 영어와 한국어로 진행했다. 실험 결과, 영어와 한국어의 색감정관계에서 언어의 차이는 크지 않았다. 두가지 색을 배색했을 때의 색감정은 각각의 단색을 평균했을 때의 색감정으로 대체적으로 만족스럽게 예측할 수 있었다. 그러나 몇몇의 경우에서 두가지 색이 배색되었을 때의 색감정이 하나의 단색의 색감정보다 강하게 나타난 경우가 발견되었다.

• International Journal of Computer Science & Network Security
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• 제23권9호
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• pp.47-54
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• 2023

For Bengali music emotion classification, deep learning models, particularly CNN and RNN are frequently used. But previous researches had the flaws of low accuracy and overfitting problem. In this research, attention-based Conv1D and BiGRU model is designed for music emotion classification and comparative experimentation shows that the proposed model is classifying emotions more accurate. We have proposed a Conv1D and Bi-GRU with the attention-based model for emotion classification of our Bengali music dataset. The model integrates attention-based. Wav preprocessing makes use of MFCCs. To reduce the dimensionality of the feature space, contextual features were extracted from two Conv1D layers. In order to solve the overfitting problems, dropouts are utilized. Two bidirectional GRUs networks are used to update previous and future emotion representation of the output from the Conv1D layers. Two BiGRU layers are conntected to an attention mechanism to give various MFCC feature vectors more attention. Moreover, the attention mechanism has increased the accuracy of the proposed classification model. The vector is finally classified into four emotion classes: Angry, Happy, Relax, Sad; using a dense, fully connected layer with softmax activation. The proposed Conv1D+BiGRU+Attention model is efficient at classifying emotions in the Bengali music dataset than baseline methods. For our Bengali music dataset, the performance of our proposed model is 95%.

• Journal of Information Processing Systems
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• 제17권6호
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• pp.1138-1156
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• 2021

Emotional semantics are the highest level of semantics that can be extracted from an image. Constructing a system that can automatically recognize the emotional semantics from images will be significant for marketing, smart healthcare, and deep human-computer interaction. To understand the direction of image emotion recognition as well as the general research methods, we summarize the current development trends and shed light on potential future research. The primary contributions of this paper are as follows. We investigate the color, texture, shape and contour features used for emotional semantics extraction. We establish two models that map images into emotional space and introduce in detail the various processes in the image emotional semantic recognition framework. We also discuss important datasets and useful applications in the field such as garment image and image retrieval. We conclude with a brief discussion about future research trends.

• 한국콘텐츠학회지
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• 제11권2호
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• pp.34-39
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• 2013

• 감성과학
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• 제8권4호
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• pp.355-363
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• 2005

감성형용사는 감성 평가공간을 구성하거나 컬러 및 컬러 패턴을 평가하거나 선택하는 데 있어서 대단히 중요하다. 본 논문에서는 Soen의 랜덤컬러 패턴을 평가하기 위해 사용된 13개의 형용사 쌍을 대상으로 다차원 척도분석, 요인분석 , 군집분석 등을 수행하여, 이들이 무게감, 활동감, 온도감을 표현하는 감성요인으로 축약할 수 있으며, 이는 이전의 단색에 대한 연구들과 근사적으로 일치함을 보였다. 또한 컬러 패턴의 선호도를 표현하는 형용사는 다른 1차적인 감성표현 형용사들의 조합으로 표현되어 질 수 있음을 회귀분석을 통하여 검증하였다. 이는 벽지, 카펫 등 컬러 패턴이 나타나는 대상과는 무관하게 무게감, 활동감, 온도감을 표현하는 통일된 감성평가공간 구성이 가능할 수 있음을 의미한다.