• Title/Summary/Keyword: 감정요소

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The Design of Knowledge-Emotional Reaction Model considering Personality (개인성을 고려한 지식-감정 반응 모델의 설계)

  • Shim, Jeong-Yon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.1
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    • pp.116-122
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    • 2010
  • As the importance of HCI(Human-Computer Interface) caused by dramatically developed computer technology is getting high, the requirement for the design of human friendly systems is also getting high. First of all, the personality and Emotional factor should be considered for implementing more human friendly systems. Many studies on Knowledge, Emotion and personality have been made, but the combined methods connecting these three factors is not so many investigated yet. It is known that memorizing process includes not only knowledge but also the emotion and the emotion state has much effects on the process of reasoning and decision making step. Accordingly, for implementing more human friendly efficient sophisticated intelligent system, the system considering these three factors should be modeled and designed. In this paper, knowledge-emotion reaction model was designed. Five types are defined for representing the personality and emotion reaction mechanism calculating emotion vector based on the extracted Thought threads by Type matching selection was proposed. This system is applied to the virtual memory and its emotional reactions are simulated.

Human Sensibility and Emotion in Sensibility Ergonomics (감성과 감정의 이해를 통한 감성의 체계적 측정 평가)

  • 이구형
    • Science of Emotion and Sensibility
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    • v.1 no.1
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    • pp.113-122
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    • 1998
  • 인간의 감성은 감정과는 구분되는 심리적 현상으로, 감정이 강도가 높으며 생리적, 신체적 반응을 동반하는데 비하여, 감성은 강도가 낮으며 겉으로 나타나는 생리적 변화가 없다. 감정은 외부의 감각자극에 대하여 두뇌에서 단계적인 정보처리의 결과로 나타나지만 감성은 반사적이고 직관적으로 발생된다. 감정은 하나의 대상에 대하여 여러사람이 유사한 반응을 보이는 공통성과 객관성을 갖지만, 감성은 동일한 대상에 대해서도 개인에 따라 다양하게 나타나며 시간과 환경에 따하서도 변화한다. 감정은 일반성, 객관성, 반복성과 같은 학문적 연구대상으로서의 조건을 만족시키고 있으나, 감성은 그 특성이 학문이나 연구의 대상이 되기 위한 조건들을 충족시키지 못하며, 따라서 연구대상으로 인정받지 못하고 있다. 감성이 감정에 비하여 가장 두드러지는 점은 감정의 종류가 외부자극의 종류에 따라 결정되어지는 반면 감성의 발생은 개인의 재부상태, 즉 생활경험에 의한 기억에 의존한다는 점이다. 감성의 개인성, 변화성, 불확실성, 애매모호성등을 설명할 수 있기 위해서는 기존의 학문이 갖는 폐쇄성에서 벗어나 보다 많은 변수를 체계적이고 다각적으로 고려하는 새로운 접근이 필요하다. 학문과 연구대상에 대한 조건의 확대가 요구된다고 할 수 있다. 개인의 감성은 해당 시점에서 개인이 갖고 있는 심리상태와 함깨 연령, 성별, 교육정도, 건강상태와 같은 개인요소뿐만 아니라 개인의 의식과 생활에 영향을 미치는 가정과 사회특성, 나아가 전통과 관습, 종교, 환경등와 같은 문화적 특성에 의해서도 변화된다. 그리고 이들 요소들을 개인이 처한 상황에 따라 영향의 정도가 다양하게 변화한다. 많은 요인들에 의하여 다양하게 변화되는 감성은 감성의 영향을 받는 생활환경과 결합되고, 생활경험을 중심으로 한 기억은 두뇌의 Limbic system은 자율신경계를 조절하는 hypothalamus와 밀접한 관계를 갖고 있다. 따라서 감성의 측정평가를 위해서는 생활경험에 영향을 미치는 제반 요인들의 파악과 함께 자율신경계의 반응을 측정할 수 있는 방법의 개발이 요구된다.

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A Study of Emotional Dimension that takes into account the Characteristics of the Arousal axis (각성 축의 특성을 고려한 감정차원에 관한 연구)

  • Han, Eui-Hwan;Cha, Hyung-Tai
    • Science of Emotion and Sensibility
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    • v.17 no.3
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    • pp.57-64
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    • 2014
  • In this paper, we verify the relation between elements (active and inactive) of Russell's emotional dimension ("A Circumplex Model") to propose a new representing method. Russell's emotional dimension expresses emotional words (happy, joy, sad, nervous, etc.) as a point on the two dimensions (Arousal and Valence). It is most commonly used in many filed such as Science of Emotion & Sensibility, Human-Computer Interaction (HCI), and Psychology etc. But other researchers have insisted that Russell's emotional dimension have to be modified because of its inherent problems. Such problems included the possibility of mixed feelings, the difference of emotion and sensibility, and the difference of Arousal axis and Valence axis. Therefore, we verify relationship of A Circumplex Model's elements (active and inactive) and find how to people express their Arousal feelings using survey. We finally propose new method to express emotion in Russell's emotional dimension. Using this method, we can solve Russell's problems and compensate other researches.

Exploring the Conceptual Elements and Meaning of Meta-affect in Mathematics Learning (수학 학습 메타 정의의 개념 요소와 의미 탐색)

  • Son, Bok Eun;Ko, Ho Kyoung
    • Communications of Mathematical Education
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    • v.35 no.4
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    • pp.359-376
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    • 2021
  • In this study, in accordance with the research trend that the learner's emotions expressed positively or negatively in mathematics learning or the learner's beliefs and attitudes toward mathematics learning affect the results of mathematics learning, the learner's emotions and affective factors are analyzed in the learner's own learning. A power that can be adjusted according to a goal or purpose is needed, and I tried to explain this power through meta-affect. To this end, the meaning of the definitional and conceptual factors of meta-affect was explored based on prior studies. Affective factors of meta-affect were viewed as emotions, attitudes, and beliefs, and conceptual factors of meta-affect were viewed as awareness, evaluating, controlling, utilization, and monitoring, and the meaning of each conceptual factor was also defined. In this study, the conceptual factors and meanings of meta-affect in terms of using them to help in learning mathematics by controlling them, beyond the identification or examination of the characteristics of the affective factors, which are meaningfully dealt with in the field of mathematics education.

A Study on the Preference Factors of KakaoTalk Emoticon (카카오톡 이모티콘 선호도에 미치는 영향 요인에 관한 연구)

  • Lee, Jong-Yoon;Eune, Juhyun
    • Cartoon and Animation Studies
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    • s.51
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    • pp.361-390
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    • 2018
  • Users of KakaoTalk emoticons use Kakao Talk emoticons as means of communicating their emotions in virtual space. Emotional state is represented by design element (auxiliary, color, form, motion) and storytelling element contained in emoticons. The purpose of this study is to investigate the factors of the storytelling and design elements of kakaoTalk emoticons and how they prefer the kakaoTalk emoticons as emotional expression means. In terms of storytelling, crocodiles, peaches, dogs, ducks, lions, moles, and rabbits were made up of ordinary fruits and animals. Most of the emoticons are composed of stories with unique personality, and each story has a complex one by one, which makes it easy for users to approach and use them. In terms of design, I used various auxiliary elements (flame, sweat, tears, runny nose, angry eyes, etc.) to express angry, sincere, nervous, begging, joy, and sadness. The color elements consisted of most of the warm color series with the unique colors (green, red, yellow, pink, white, black, brown, etc.) of emoticon characters regardless of feelings of joy, anger, sadness, pleasure. The form factor is composed of a round shape when expressing factors such as joy and sadness. On the other hand, when FRODO and NEO express sadness and anger, they represent the shape of a rectangle. The motion elements are horizontal, vertical, and oblique expressions of APPEACH, NEO, TUBE, and JAY-G, expressing emotional expressions of sadness, anger, and pleasure. APEACH, TUBE, MUZI & / Shows the dynamic impression of the oblique and the radiation / back / forward / rotation. The anger of TUBE and FRODO shows horizontal / vertical / diagonal and radial motion. As a result of this study, storytelling is structured in accordance with each emoticon character. In terms of design, auxiliary elements such as flame, sweat, and tears are represented by images. The color elements used the unique colors of the character series regardless of the difference of emotion. The form factor represented various movements for each emotion expression. These findings will contribute to the development of communication, emotional design and industrial aspects. Despite the significance of the above paper, I would like to point out that the analysis framework of the storytelling and the semiotic analysis of the supplementary elements are not considered as limitations of the study.

Towards Next Generation Multimedia Information Retrieval by Analyzing User-centered Image Access and Use (이용자 중심의 이미지 접근과 이용 분석을 통한 차세대 멀티미디어 검색 패러다임 요소에 관한 연구)

  • Chung, EunKyung
    • Journal of the Korean Society for Library and Information Science
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    • v.51 no.4
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    • pp.121-138
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    • 2017
  • As information users seek multimedia with a wide variety of information needs, information environments for multimedia have been developed drastically. More specifically, as seeking multimedia with emotional access points has been popular, the needs for indexing in terms of abstract concepts including emotions have grown. This study aims to analyze the index terms extracted from Getty Image Bank. Five basic emotion terms, which are sadness, love, horror, happiness, anger, were used when collected the indexing terms. A total 22,675 index terms were used for this study. The data are three sets; entire emotion, positive emotion, and negative emotion. For these three data sets, co-word occurrence matrices were created and visualized in weighted network with PNNC clusters. The entire emotion network demonstrates three clusters and 20 sub-clusters. On the other hand, positive emotion network and negative emotion network show 10 clusters, respectively. The results point out three elements for next generation of multimedia retrieval: (1) the analysis on index terms for emotions shown in people on image, (2) the relationship between connotative term and denotative term and possibility for inferring connotative terms from denotative terms using the relationship, and (3) the significance of thesaurus on connotative term in order to expand related terms or synonyms for better access points.

Sound Visualization based on Emotional Analysis of Musical Parameters (음악 구성요소의 감정 구조 분석에 기반 한 시각화 연구)

  • Kim, Hey-Ran;Song, Eun-Sung
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.104-112
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    • 2021
  • In this study, emotional analysis was conducted based on the basic attribute data of music and the emotional model in psychology, and the result was applied to the visualization rules in the formative arts. In the existing studies using musical parameter, there were many cases with more practical purposes to classify, search, and recommend music for people. In this study, the focus was on enabling sound data to be used as a material for creating artworks and used for aesthetic expression. In order to study the music visualization as an art form, a method that can include human emotions should be designed, which is the characteristics of the arts itself. Therefore, a well-structured basic classification of musical attributes and a classification system on emotions were provided. Also, through the shape, color, and animation of the visual elements, the visualization of the musical elements was performed by reflecting the subdivided input parameters based on emotions. This study can be used as basic data for artists who explore a field of music visualization, and the analysis method and work results for matching emotion-based music components and visualizations will be the basis for automated visualization by artificial intelligence in the future.

Analyzing the acoustic elements and Emotion Recogintion from Speech Signal based on DRNN (음향적 요소분석과 DRNN을 이용한 음성신호의 감성인식)

  • 박창현;심귀보
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.12a
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    • pp.489-492
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    • 2002
  • 최근 인간형 로봇에 대한 개발이 괄목할 만한 성장을 이루고 있고, 친근한 로봇의 개발에 중요한 역할을 담당하는 것으로써 감성/감정의 인식이 필수적이라는 인식이 확산되고 있다. 본 논문은 음성의 감정인식에 있어 가장 큰 부분을 차지하는 피치의 패턴을 인식하여 감정을 분류/인식하는 시뮬레이터의 개발과 실험결과를 나타낸다. 또한, 피치뿐 아니라 음향학적으로 날카로움, 낮음등의 요소를 분류의 기준으로 포함시켜서 좀더 신뢰성 있는 인식을 할 수 있음을 보인다. 시뮬레이터의 내부 구조로는 음성으로부터 피치를 추출하는 부분과 피치의 패턴을 학습시키는 DRNN 부분, 그리고, 음향적 특성을 추출하는 음향 추출부가 주요 요소로 이루어져 있다. 그리고, 피치를 추출하는 방법으로는 Center-Clipping 함수를 이용한 autocorrelation approach를 사용하고, 학습 시 최적의 개체를 찾는 방법으로써 (1+100)-ES를 사용한다.

Speech emotion recognition for affective human robot interaction (감성적 인간 로봇 상호작용을 위한 음성감정 인식)

  • Jang, Kwang-Dong;Kwon, Oh-Wook
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.555-558
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    • 2006
  • 감정을 포함하고 있는 음성은 청자로 하여금 화자의 심리상태를 파악할 수 있게 하는 요소 중에 하나이다. 음성신호에 포함되어 있는 감정을 인식하여 사람과 로봇과의 원활한 감성적 상호작용을 위하여 특징을 추출하고 감정을 분류한 방법을 제시한다. 음성신호로부터 음향정보 및 운율정보인 기본 특징들을 추출하고 이로부터 계산된 통계치를 갖는 특징벡터를 입력으로 support vector machine (SVM) 기반의 패턴분류기를 사용하여 6가지의 감정- 화남(angry), 지루함(bored), 기쁨(happy), 중립(neutral), 슬픔(sad) 그리고 놀람(surprised)으로 분류한다. SVM에 의한 인식실험을 한 경우 51.4%의 인식률을 보였고 사람의 판단에 의한 경우는 60.4%의 인식률을 보였다. 또한 화자가 판단한 감정 데이터베이스의 감정들을 다수의 청자가 판단한 감정 상태로 변경한 입력을 SVM에 의해서 감정을 분류한 결과가 51.2% 정확도로 감정인식하기 위해 사용한 기본 특징들이 유효함을 알 수 있다.

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Analyzing the element of emotion recognition from speech (음성으로부터 감성인식 요소분석)

  • 심귀보;박창현
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.6
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    • pp.510-515
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    • 2001
  • Generally, there are (1)Words for conversation (2)Tone (3)Pitch (4)Formant frequency (5)Speech speed, etc as the element for emotional recognition from speech signal. For human being, it is natural that the tone, vice quality, speed words are easier elements rather than frequency to perceive other s feeling. Therefore, the former things are important elements fro classifying feelings. And, previous methods have mainly used the former thins but using formant is good for implementing as machine. Thus. our final goal of this research is to implement an emotional recognition system based on pitch, formant, speech speed, etc. from speech signal. In this paper, as first stage we foun specific features of feeling angry from his words when a man got angry.

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