• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 춘계학술대회 논문집
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• pp.195-200
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• 2002

ART (Adaptive Resonance Theory [1]) neural network and its variations perform non-hierarchical clustering by unsupervised learning. We propose a scheme "arboART" for hierarchical clustering by using several ART1.5-SSS networks. It classifies multidimensional vectors as a cluster tree, and finds features of clusters. The Basic idea of arboART is to use the prototype formed in an ART network as an input to other ART network that has looser distance criteria (Ishihara, et al., [2,3]). By sending prototype vectors made by ART to one after another, many small categories are combined into larger and more generalized categories. We can draw a dendrogram using classification records of sample and categories. We have confirmed its ability using standard test data commonly used in pattern recognition community. The clustering result is better than traditional computing methods, on separation of outliers, smaller error (diameter) of clusters and causes no chaining. This methodology is applied to Kansei evaluation experiment data analysis.

• 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.191-194
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• 2000

This study's purpose of estimate of design and ambiance of goods by using 5 Kansei design items. 5 Kansei design items are shape, color, sense of material, fit and functionality/convenience.

• 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.248-252
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• 2000

Form-ratio means the ratio of height/Width/Depth in 3-dimensions. The golden ratio or golden section is included as one of the form-ratio. We conducted two kinds of kansei experiments of cubic model and refrigerator varied from 1:1:1 to 1:1:3.66 on the scale of x:y:z. The subjects evaluate the form-ratios of 3-dimensional cubes and virtual products with SD-scale Kansei words(feelings and images). We applied the factor analysis to identify semantic space in cube model and virtual products. Finally, we compared with kansei structure of cube model and virtual product.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2002년도 춘계학술발표논문집(하)
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• pp.1040-1045
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• 2002

This paper described the developed website usability evaluation system in terms of Kansei engineering using neural network. Developed system simultaneously operates with the MS Internet Explorer by entering the target URL for usability evaluation, and the results are learned using neural network. We firstly derived the Kansei adjectives and website usability factors and they were matched by the correspondence analysis. Then, highly corresponded adjectives were implemented on the system for the Kansei evaluation. Finally, the results showed the appropriate efficiency of developed algorithm and system for the website evaluation. If more subjects were used for the system learning, the efficiency of system could be improved.

• 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.282-288
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• 2000

This paper describes the basic concept and processes underlying human design technology, and outlines Kansei design base on this logical approach.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2001년도 Bulletin of The 5th Asian Design Conference International Symposium on Design Science
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• pp.16.2-16
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• 2001

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2001년도 Bulletin of The 5th Asian Design Conference International Symposium on Design Science
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• pp.35.1-35
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• 2001

• 디지털콘텐츠학회 논문지
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• 제18권7호
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• pp.1227-1237
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• 2017

본 연구는 간사이 공학을 토대로 모바일웹 매거진에 대한 디자인 개선안을 연구하였다. 우선, 설문조사를 통한 요소 분석으로 데이터를 수집한 뒤, 이를 모바일웹 매거진의 모바일 웹 사용자 인터페이스의 디자인 요소와 연결시켜 사용자가 느끼는 감정과 밀접한 디자인 요소를 도출하였다. 도출된 감성 요소를 유니버설디자인의 방법론에 적용하여 도출된 디자인방향대로, '매력있는', '개방적인', '개성있는' 등 각 감성요인과 밀접한 관계가 있는 요소인 슬라이드의 디자인, 텍스트의 배치, 이미지의 비중 등을 개선하여 모바일웹 매거진 디자인 프로토타입에 적용하였다. 전문가 인터뷰를 통해서 제안 설계의 가능성을 확인하였다.

• 복식문화연구
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• 제20권1호
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• pp.121-127
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• 2012

When people are asked to described certain textiles, they frequently refer to the expressions of its properties such as attractiveness, uniqueness, shininess, robustness, comfortability, and so on. It shows how senses play important role in it. Human employs their senses when interacting with textiles, most notably visual and tactile/ haptic to absorb its expressive properties. Yet, our sensorial experiences may amplify when interacting with those of traditional textiles, such as batik, as we can entice sensations when seeing its motifs and patterns, smelling its materials, and touching its surfaces. The multi-sensorial importance of seeing, smelling, and touching in the interaction with and experience of textiles suggests that one should address senses in a systematic way when evaluating users' perception on traditional textiles. To address this issue, the paper proposes the incorporation of Kansei Engineering (KE) approach for identifying multi-sensorial experiences on the expressive properties of traditional textiles, using batik as a case of study. KE approach address person's psychological understanding when observing things in order to analyze and study the inherent relationship between person's perceptual knowledge and objects evaluated. This paper outlines the use of KE approach in correlating sensorial perceptions when experience with traditional textiles and ultimately expose users' preferences toward them. Background of KE approach on textiles will be explored and its application for the multi-sensorial investigation of traditional textiles will be discussed.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2001년도 춘계학술대회 논문집
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• pp.68-73
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• 2001

The word "cyber-space" was coined through the developments in communication technology and computers. It became possible to experience disembodied space in practice through a new kind of medium. this research aims to clarify the kansei stimulation elements as realistic sensed by users who use 3-dimensional expressions in cyber-space. The research was carried out by preparing 25 samples of computer graphics, and administering 3 questionnaires to 12 examinees. The Principal Ingredient Analysis method was used for its analysis and assessment. As a result of this research, it can be concluded that materials, reflection and shadow have the strongest effect on human beings' senses in cyber-space.