• 한국의류학회지
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• 제29권6호
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• pp.772-782
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• 2005

The purpose of this study was to identify important factors influencing fragrance sensibility responses as well as to explore fragrance sensibility factors affecting attitude toward and buying intention of perfume products. For data collection, smelling experiments were conducted with seven groups of 34 female consumers who are aged from the 20's to 40's. Data were analyzed by ANOVA, t-test, factor analysis, and linear regression analysis. In results, five factors (pleasant, romantic, stimulating, modem, familiar factors) were generated from the factor analysis of 24 fragrance sensibility factors. These fragrance sensibility factors significantly affected both attitude toward and buying intention of perfume products. Pleasant, romantic and familiar factors were considered as important factors affecting attitude and buying intention while the stimulating factor affected only buying intention. Fragrance sensibility factors influencing attitude and buying intention of perfume products differed in terms of age and purchase level of consumers.

• 한국의류학회지
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• 제40권6호
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• pp.1034-1044
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• 2016

This study seeks a method to objectively evaluate sensibility based on Big Data in the field of design. In order to do so, this study examined the sensibility responses on design factors for the public through a network analysis of texts displayed in social media. 'Hanbok', a formal clothing that represents Korea, was selected as the subject for the research methodology. We then collected 47,677 keywords related to Hanbok from 12,000 posts on Naver blogs from January $1^{st}$ to December $31^{st}$ 2015 and that analyzed using social matrix (a Big Data analysis software) rather than using previous survey methods. We also derived 56 key-words related to design elements and sensibility responses of Hanbok. Centrality analysis and CONCOR analysis were conducted using Ucinet6. The visualization of the network text analysis allowed the categorization of the main design factors of Hanbok with evaluation terms that mean positive, negative, and neutral sensibility responses. We also derived key evaluation factors for Hanbok as fitting, rationality, trend, and uniqueness. The evaluation terms extracted based on natural language processing technologies of atypical data have validity as a scale for evaluation and are expected to be suitable for utilization in an index for sensibility evaluation that supplements the limits of previous surveys and statistical analysis methods. The network text analysis method used in this study provides new guidelines for the use of Big Data involving sensibility evaluation methods in the field of design.

• 한국의류학회지
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• 제26권10호
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• pp.1412-1423
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• 2002

The purpose of this study is to objectively explain the visual sensibility of clothing torture that satisfies the consumer's sensibility. The photo stimuli on clothing texture are divided into hard, soft transparent and brilliant. For the study of image 38 kinds of costume samples is used. The Study was measured by using Semantic Differential method. The subjects were 410 females in twenties. The data were analyzed by factor analysis, ANOVA, MDS and regression analysis. Data were analyzed by SPSS. The major findings of this research were as follows: 1. As a result of the factor analysis,5 factors of visual sensibility were consist of high qualities, touches, looks, lightness, and warmness or coolness.2. There were significant difference in visual sensibility based on classification of clothing texture.3. The clothing texture was classified as thin-full, flat-lumpy. 4. As a result of the regression analysis, preferences of consumers can be connected directly with buying behavior and satisfaction can be closely related with preferences and positive buying behavior.

• International Journal of Human Ecology
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• 제8권1호
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• pp.27-37
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• 2007

The purpose of this study is to investigate the preference of the hand and the sensibility image of underwear textiles according to seasons. According to a recent survey of 109 college students, using a 7 scale evaluation to the preference of the hand and the sensibility image among 13 summer and 10 winter underwear textiles. The data was analyzed through mean, SD, factor analysis, t-test, Person correlation analysis and regression analysis using SPSS Win 11.0. The summer underwear textiles were classified according to six tactile factors: stiffness/surface unevenness, weight, elasticity, moistness, extension, and warm-cool and 3 sensibility image factors: elegant individual, modern, and sporty-casual. The winter textiles were classified according to six tactile factors: stiffness/surface unevenness, elasticity, warm-cool, drapability, moistness and flexibility and divided into 2 sensibility images: modern elegant and sporty-casual. Factors expressing hand and sensibility image according to season showed significant difference. In the summer, weight, in the winter, drapability and flexibility showed significant difference at the hand factor evaluation. The hand factors: weight, warm-cool and modern sensibility image factors effect the preference of summer underwear textile, also the hand factors-elasticity, stiffness/surface unevenness and the sensibility image factor-easy-sport-casual-effect the preference of winter textiles. Therefore, the thin, light, and cool textiles which are also gorgeous and sporty-casual are preferred for summer underwear textiles while soft, simple and comfortable textiles are preferred for winter textiles.

• 감성과학
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• 제10권2호
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• pp.209-220
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• 2007

본 연구의 목적은 수공간에 대한 감성을 대표하는 어휘를 선정과 수공간의 감성 유형을 분석하기 위해 수행되었다. 수공간의 감성평가를 위한 어휘를 선정하는 것은 감정의 잣대를 만드는 일이기 때문에 감성어휘를 정확하게 선정하는 것은 매우 중요한 일이다. 기초어휘 수집을 위해 첫 단계에서 수공간에 대한 감성을 표현하는 어휘를 수공간 연구, 경관 평가 연구, 환경디자인 감성연구 등에서 수집 후 최종 129개의 어휘를 선정하였다 두 번째 단계에서는 수집된 어휘를 일반인들에게 제시하여 수공간의 감성을 나타내는 어휘로서 적절함의 정도를 5점 척도로 표시하도록 하여, 평균 3.5점 이상의 39개 어휘를 선발하였다. 세 번째 단계로 이 설문으로부터 나온 데이터에 대해 요인분석, 군집분석, 다차원분석을 실시하여 수공간에 대한 9개의 감성어휘를 추출하였다. 수공간 감성평가에 최종적으로 선발된 어휘는 체험적, 감각적, 자연적, 조화된, 깨끗한, 기분좋은, 역동적, 개방적, 낭만적이다.

• 복식
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• 제54권3호
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• pp.73-85
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• 2004

The purpose of this study was to investigate the characteristic and sensibility of Japanism fashion designs which represented by Japanese designers and Western designers. The stimulus were 29 pictures of contemporary fashion designs which represented the Japanism style fashion designs from fashion collections. The data were analyzed by Cluster analysis, Factor analysis, Multidimensional Scaling Method and Regression Analysis. The specific objectives were as follows ; 1) As result of design analysis, Japanism fashion sensibility is unique and good-looking. 2) As result of the factor analysis. 4 factors which are Attractiveness, Attention, Maturity and Hardness and softness. 3) According to sensibility positioning, The Japanism fashion design was classified by Decorative-Simple, Hard-Soft. 4) As result of the Regression Analysis, The preference of Japanism fashion design was related to attractive factor. 5) As result of the Regression Analysis. The buying desirable of Japanism fashion design was related to attractive, attentive and mature factor.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2011년도 춘계학술대회
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• pp.83-84
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• 2011

• 한국멀티미디어학회논문지
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• 제17권11호
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• pp.1286-1295
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• 2014

This paper suggests the way that it could improve the reliability about preference of user's feedback by adding weighting factor on sentiment analysis, and efficiently make a sentiment analysis of users' emotional perspective on the big data massively generated on twitter. To solve errors on earlier studies, this paper has improved recall and precision of sensibility determination by using sensibility dictionary subdivided sentiment polarity based on the level of sensibility and given impotance to sensibility determination by populating slang, new words, emoticons and idiomatic expressions not in the system dictionary. It has considered the context through conjunctive adverbs fixed in korean characteristics which are free to the word order. It also recognize sensibility words such as TF(Term Frequency), RT(Retweet), Follower which are weighting factors of preference and has increased reliability of preference analysis considering weight on 'a very emotional tweet', 'a recognised tweet from users' and 'a tweeter influencer'

• 대한인간공학회지
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• 제30권2호
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• pp.311-317
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• 2011

Objective: The present study was intended to identify (1) the intra- and inter-rater reliabilities of a visual sensibility evaluation protocol and (2) the effects of NaCOC color and scouring method on the visual sensibility of NaCOC. Thirty female participants(20s & 30s) were participated in the visual sensibility evaluation of NaCOC. Background: Interests in naturally colored organic cotton(NaCOC) increase rapidly in parallel with the social trend of eco-friendly living and wellbeing. Method: Three color sets (ivory, green, and coyote-brown) of NaCOC specimens including one untreated and four treated specimens($Na_2CO_3$; NaOH; enzyme; boiling water) were examined in the study. The visual sensibility evaluation was conducted by the test-retest method using nine pairs of bipolar visual sensibility adjectives(bright-dark; clear-murky; heavy-light; vivid-subdued; warm-cool; fresh-stale; strong-weak; showy-plain; and luxurious-cheap). Results: As a result of reliability of a visual sensibility evaluation protocol, inter-rater variability(average SD=1.06) of visual sensibility evaluation was more than 1.4 times the intra-rater variability(average SD=0.74). However, both the sensibility evaluation reliabilities did not show any systematic pattern of changes. Lastly, ANOVA and post-hoc analysis showed that preferred scouring methods for a visual sensibility adjective pair significantly vary depending on NaCOC color. Application: Both the reliability of visual sensibility evaluation protocol and the analysis of proper scoring method of NaCOC in the study would be useful information to design the affective textile.

• 대한가정학회지
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• 제40권1호
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• pp.135-146
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• 2002

The Purpose of this study was to identify the sensibility elements and the evaluative dimensions of internet fashion shopping mall to supply optimal experience to the customer. First, association words for internet fashion shopping mall by open-ended method and sensibility-expression-adjective feeling as navigating personally 57 shopping mall dealing with fashion products were collected. Collected adjectives were ranked after making index by frequency and diversity. Then, correlation analysis was executed to extract independent adjective and their opposite words. Semantic differential scale was made for internet-fashion-shopping-mall-evaluation. After preliminary investigation with this scale, factor analysis was implemented. 12 sensibility evaluation words were extracted. Then, 200 subjects evaluated satisfaction degree for 8 selected shopping mall. To explain the hierarchy of internet fashion shopping mall, cluster analysis was applied. The understanding of sensibility element and evaluative dimensions of internet fashion shopping mall can be utilized efficiently as basic materials when marketer plans internet shopping mall design and makes marketing strategy.