• Title/Summary/Keyword: 감성의 관심

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21C 감성의 패션과 섬유예술의 비젼

  • 이진봉
    • Proceedings of the Costume Culture Conference
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    • 2004.04a
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    • pp.11-15
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    • 2004
  • 오늘날 전 세계는 과학의 진보, 컴퓨터 통신의 눈부신 발달에 따른 인터넷 등 모든 분야에 있어서 너무나 빠른 가속도의 변화의 시대에 살고 있다. 이에 따른 섬유산업의 발전과 더불어 패션산업은 21C에 접어들면서 실용성에 예술성향이 복합된 효과를 대중과 함께 호흡할 수 있게 되었으며 중국이 급부상하면서 여러 분야에 걸쳐 세계는 아시아권에 관심과 주목을 받게 되는 즈음, 중국을 배경으로 한국과 일본의 득과 실에 대해 특히 섬유소재분야와 패션분야에 대한 교육과 산업의 냉철한 판단을 비교 분석하여 보기로 한다. (중략)

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Usability Return On Investment Framework Based on Balanced ScoreCard (균형성과지표를 활용한 Usability 투자 성과관리 Framework 개발)

  • 이주환;윤명환
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2003.11a
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    • pp.1241-1242
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    • 2003
  • 본 연구는 Usability의 투자 성과관리(ROI: Return On Investment)를 위한 균형성과지표(BSC: Balanced ScoreCard) 관점에서의 Framework 개발을 목표로 한다. 2000년 이후 Usability에 대한 투자 규모는 높은 증가세를 유지해 왔으나 대규모 투자가 진전되는 가운데 Usability투자의 수익성을 어떻게 확보하고, 그 효과(Effectiveness)는 어떻게 측정할 것인가 하는 문제는 상대적으로 관심을 끌지 못하고 있다. Usability 투자에 대한 시스템적 성과관리를 위해 개발된 Usability BSC Framework은 BSC의 4가지 관점에서 Usability 투자성과관리에 대한 변형된 관점의 모델을 제안한다.

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Image/Sound Synchronization for Simulating Sound from Colliding Objects (충돌음 자동생성을 위한 영상/음향 동기화 기술 개발)

  • 김재우;김용완;김현빈
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1998.11a
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    • pp.168-171
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    • 1998
  • 멀티미디어 기술의 발달로 그래픽을 포함한 영상데이터의 사용이 급증하고 있다. 멀티미디어 및 가상현실 응용 시스템은 그래픽을 포함한 영상과 음향이 동기화 되어 제공될 경우 사용자의 현장감과 몰입감을 증대시킬 수 있다. 본 논문에서는 가정용 비디오를 통하여 입력되는 일련의 영상데이타로부터 관심있는 물체의 운동을 추적함으로 물체가 발생시키는 충돌음을 공간적으로 동기화 하여 생성하는 이미지 기반 영상/음향 동기화 기술의 개발에 관하여 논의한다. 대용량의 영상데이터에 대하여 실시간으로 음향을 동기화시키는 것은 현재 기술로 불가능하며, 본 논문에서는 영상과 음향의 공간적 동기화 기술에 대하여 기술한다.

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Classification of Representative Emotions to Measure Emotions Expressed by Traditional Korean-style house (한국 전통가옥에서 느껴지는 감성 측정을 위한 대표 감성 분류)

  • Park, Eun Jung;Seo, Jong Hwan;Jeong, Sang Hoon
    • Smart Media Journal
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    • v.7 no.3
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    • pp.43-50
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    • 2018
  • Hanok (a traditional Korean-style house) has recently become a popular attraction for tourists all over the world. Jeonju Hanok Village, for example, attracted about 10 million visitors for 2 consecutive years. Observing Hanok's popularity, many local governments drew up plans to improve tourism dynamics by strengthening the advantages of Hanok. Emotionally rich experience is required to offer a greater satisfying experience that meets the demands of tourists. However, very few studies yet have addressed how to measure those emotions felt by users while experiencing Hanok. As an attempt to improve this situation, 182 emotional words were collected from earlier studies and classified into 33 groups with the Delphi method. Among the emotional words in each of the 33 groups, those of overlapping concepts on the characteristics of Hanok were re-grouped, and extracted the most appropriate 68 words. Additionally, a survey was conducted with 325 people who had experienced Hanok to gather 30-most representative emotions for measuring emotions felt from Hanok. The factor analysis of the 30 representative emotions resulted in classified 6 factors based on common features of emotional words: senses of aesthetics, happiness, novelty, ownership, balance and relaxation. The 30 representative emotions and six emotion categories found out by this study can help measure how much people feel certain emotions while experiencing hanoks. Further study will explore the degree of emotions hanok users feel about objects of hanok, such as roof materials and shapes, and body shapes.

Analysis of Gaze Related to Cooperation, Competition and Focus Levels (협력, 경쟁, 집중 수준에 따른 시선 분석)

  • Cho, Ji Eun;Lee, Dong Won;Park, MinJi;Whang, Min-Cheol
    • The Journal of the Korea Contents Association
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    • v.17 no.9
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    • pp.281-291
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    • 2017
  • Emotional interaction in virtual reality is necessary of social communication. However, social emotion has been tried to be less recognized quantitatively. This study was to determined social gaze of emotion in business domain. 417 emotion words were collected and 16 emotion words were selected to Goodness of Fit. Emotion word were mapped into 2 dimensional space through multidimensional scaling analysis. Then, X axis defined dimensions of cooperation, competition, and Y axis of low focus and high focus through the FGD. 52 subjects were presented to stimuli for emotion and gaze movement data were collected. Independent t-test results showed that the gaze factor increased in the face, eye, and nose areas at cooperation, and the gaze factor increased in the right face and nose areas at the low focus. It is expected that this will be used as a basic research to evaluate emotions needed in business environment in virtual space.

A Study of Sensibility Recognition and Color Psychology from The Children's Pictures (아동의 그림으로부터 감성인식 및 색채심리 파악에 관한 연구)

  • An, Eun-Mi;Shin, Seong-Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.2
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    • pp.41-48
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    • 2012
  • In modern society, the necessity of Color and Psychology Therapy is increasing for psychologically calm children who are less taken care by their parents in busy daily life, and helping them adapt to the environment. Therefore, we need to understand sensitivity status of children with paintings that they draw. Currently, most of empirical studies on their sensitivities are based on psychological and engineering perspectives. This study was designed to provide a system to extract psychological status of children from their pictures by distinguishing harmony of colors using information of solid colors and arrangement of colors in the image space. For achieving this research purpose, first of all, sensitivity database was constructed based on the image space of colors. Then, using the K-Means algorithm, the image was clustered and a wide amount of color values were divided into groups. After that, children's sensitivities were extracted by matching groups of color values with database, and color psychological status of children was observed using the color distribution chart in their paintings.

A Study on Influence of Foodservice Managers' Emotional Intelligence on Job Attitude and Organizational Performance (급식관리자의 개인적 감성지능이 직무태도 및 조직성과에 미치는 영향)

  • Jung, Hyun-Young;Kim, Hyun-Ah
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.39 no.12
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    • pp.1880-1892
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    • 2010
  • The purposes of this study were to: a) provide evidence concerning the effects of emotional intelligence on job outcomes, b) examine the impacts of emotional intelligence on employee-related variables such as 'job satisfaction', 'organizational commitment', 'organizational performance', and 'turnover intention' c) identify the conceptual framework underlying emotional intelligence. A survey was conducted to collect data from foodservice managers (N=231). Statistical analyses were completed using SPSS Win (16.0) for descriptive analysis, reliability analysis, factor analysis, t-test, correlation analysis, cluster analysis and AMOS (16.0) for confirmatory factor analysis and structural equation modeling. The concept of emotional intelligence (EI) has been on the radar screens of many leaders and managers over the last several decades. The emotional intelligence is generally accepted to be a combination of emotional and interpersonal competencies that influence behavior, thinking and interaction with others. The main results of this study were as follows. The four EI (Emotional Intelligence) dimensions correlated significantly with age. The means of job satisfaction score were above the midpoint (3.04 point) scale. The organizational commitment score was above the midpoint (3.41 point) scale and was higher at 'loyalty' factor than 'commitment' factor. The means of organizational performance score were above the midpoint (3.34) scale. The correlations among the four EI (emotional intelligence) factors were significant with job satisfaction; organizational commitment, organizational performance and turnover intention. The test of hypothesis using structural equation modeling found that emotional intelligence produced positive effects on job attitude and job performance. Emotional intelligence enhanced organizational commitment, and in turn, managers' attitude produced positive effects on organizational performance; emotional intelligence also had a direct impact on organizational performance. This study has identified the effect of emotional intelligence on organizational performance and attitudes toward one's job.

Recent Trend in Measurement Techniques of Emotion Science (감성과학을 위한 측정기법의 최근 연구 동향)

  • Jung, Hyo-Il;Park, Tae-Sun;Lee, Bae-Hwan;Yun, Sung-Hyun;Lee, Woo-Young;Kim, Wang-Bae
    • Science of Emotion and Sensibility
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    • v.13 no.1
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    • pp.235-242
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    • 2010
  • Emotion science is one of the rapidly expanding engineering/scientific disciplines which has a major impact on human society. Such growing interests in emotion science and engineering owe the recent trend that various academic fields are being merged. In this paper we review the recent techniques in the measuring the emotion related elements and applications which include animal model system to investigate the neural network and behaviour, artificial nose/neuronal chip for in-depth understanding of sensing the outer stimuli, metabolic controlling using emotional stimulant such as sounds. In particular, microfabrication techniques made it possible to construct nano/micron scale sensing parts/chips to accommodate the olfactory cells and neuron cells and gave us a new opportunities to investigate the emotion precisely. Recent developments in the measurement techniques will be able to help combine the social sciences and natural sciences, and consequently expand the scope of studies.

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Location Recommendation Customize System Using Opinion Mining (오피니언마이닝을 이용한 사용자 맞춤 장소 추천 시스템)

  • Choi, Eun-jeong;Kim, Dong-keun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.11
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    • pp.2043-2051
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    • 2017
  • Lately, In addition to the increased interest in the big data field, there is also a growing interest in application fields through the processing of big data. Opinion Mining is a big data processing technique that is widely used in providing personalized service to users. Based on this, in this paper, textual review of users' places is processed by Opinion mining technique and the sentiment of users was analyzed through k-means clustering. The same numerical value is given to users who have a similar category of sentiment classified as a clustering operation. We propose a method to show recommendation contents to users by predicting preference using collaborative filtering recommendation system with assigned numerical values and marking contents with markers on the map in order of places with high predicted value.