• 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 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.

• 품질경영학회지
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• 제27권3호
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• pp.154-169
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• 1999

In many fields, Kansei engineering, often called Human Sensibility Ergonomics, has been applied to the product development for customer's satisfaction. Also, it may use to a lot of products and environments related to human's convenient life. If the measurement and the validation of human sensibility are accomplished subjectively and qualitatively, then a good design is expected. This paper considers an application of one of the Kansei engineering's techniques, extraction and categorization of the sensory words, to the products of mobile telecommunication units. First, 1st sensory words were extracted from Korean dictionary, catalogues, pamphlets, etc. Second, 2nd sensory words were extracted from the questionnaires, elimination of synonym, advise of expert, etc. Third, final sensory words were extracted from questionnaires, etc. Fourth, ask to answer the questionnaires with the extracted words in the five-grade semantic differential. Finally, The factor analysis is used to categorize the extracted sensory words, and shows that the words can be grouped into some categories.

• 대한인간공학회지
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• 제12권2호
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• pp.29-43
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• 1993

This paper presents a conceptual approach to convert customer requirements expressed in ordinary language into a form of qualitative and quantitative functions for developing new products. This approach attempts to combine the concepts of the value engineering and the Kansei engineering. It emphasizes that customer require- ments should be interpreted and reflected on the design of new product. Specific are discussed for extracting subjective requirements and transforming them into qualitative and quantitative functions for product design. This approach is expected to provide the product designer with a systematic efficient tool for incorporating subjective requirements into a product design.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 춘계학술대회 논문집
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• pp.51-56
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• 2002

Information Technology is becoming ubiquitous. Our lifestyle is changing due to this digital revolution. Many researchers had been working on exploring the meaning and ways to realize the comfortability in physical sites. With the appearance of huge amount of Web sites, which provide a variety of services like electronic commerce, network game, search engines and so on, there are many researchers working on the definition of Web Usability. In this research, we go one step forward, by exploring the meaning of Web Comfortability, based on Kansei Engineering methods.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 추계종합학술대회 B
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• pp.532-535
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• 2008

디지털 콘텐츠의 대부분을 차지하는 동영상에 대한 검색 서비스가 필수 기능으로 대두되고 있으며, 검색 서비스를 수행하는 시스템은 최신 기술을 접목시켜 보다 지능적이고, 의미적인 검색을 할 수 있는 검색 엔진이나 지능형 검색 기법 등의 필요성이 점차 증대되고 있다. 이에 본 논문에서는 디지털 콘텐츠 데이터에 대한 특성요소 분석 및 검색 기술과 구현, 감성어휘기반 분석 및 검색 방안을 위해 멀티미디어 콘텐츠 데이터의 구조 설계와 분석 관리 도구 및 의미론적 특성요소 추출기술과 콘텐츠 내 컬러 정보 기반 감성처리 알고리즘을 제안하였다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 춘계학술대회 논문집
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• pp.34-38
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• 2002

A virtual human which can evaluate Kansei such as comfort, pain, etc. when the virtual human uses some product is developed. In this paper, method of the evaluation of Kansei by the virtual human is presented. The body of our virtual human is modeled as an uniform non-linear elastic one with a skeleton. The deformation of the body on the contact with some product is simulated using a FEM analysis, and by using of the simulated results (load distribution, strain, etc.) on the contact surface the Kansei is predicted. As examples of the application, comfort of buttocks on seating and pain of arm on hanging of bag are shown. This virtual human can apply for the design of virtual products and also the simulation of medical care.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.577-580
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• 1997

• 대한인간공학회지
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• 제19권2호
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• pp.1-14
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• 2000

Driving simulators have been developed for evaluating users' reaction to various driving situations. Dynamic simulators have, however, limitations of the motion feedback in space. Therefore, this paper presents a driving simulator and suggests a human sensibility ergonomics (kansei engineering) method to be used in improving sense of motion through a vehicle simulator. Human sensibility ergonomics(kansei engineering) is defined as translating technology of the customer' feeling about a new product into design elements. Constituents of the simulator were defined and the virtual world was generated by the object modeling technique. Senses perceived were classified into feelings of velocity, acceleration, rotation, and vibration based on the human sensibility associated with driving. And the most frequent verbal expressions were collected from 17 male subjects to define complex human sensibility.

• Communications for Statistical Applications and Methods
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• 제10권1호
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• pp.49-60
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• 2003

The human sensibility product design requires information on consumer's emotions such as vision, auditory, olfactory, gustatory, or tactile perceptions. In this study, tactile sense which has not been well studied compared to other senses, is measured and statistically analysed. The emotional responses of 37 pairs of positive and negative adjectives describing tactile senses are collected and analysed through the questionnaire to find the correlation between adjectives and surface roughness of the sample. Mean ranks for 37 pairs of adjectives on four samples are obtained, and used to cluster these adjectives by factor analysis, multidimensional scaling, or cluster analysis.