• Title/Summary/Keyword: Sensibility Word

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Process of the Scale in Fashion Sensibility (패션감성의 척도화 과정)

  • 이경희;김유진
    • Science of Emotion and Sensibility
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    • v.4 no.1
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    • pp.33-42
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    • 2001
  • The purpose of this study was to construct the scale in fashion sensibility. Base on the Fashion Magazines and free word association method, 919 affective words were condensed into 36 semantic differential bi-polar scales. 128 male and 128 female in Pusan rated their Fashion Sensibility by 87 kinds of costume samples from photographs divided into four types according to color, detail and trimming, pattern, textile. The obtained data analyzed by Cronbach ${\alpha}$, Factor analysis, Cluster analysis to consider of the reliability, tranquility, and resemblance among the meaning. The results of the analysis, it was found cleary that aesthetics, maturity character, and femininity masculinity etc were consisted of Fashion Sensibility and 25 item of affective words of Fashion Sensibility and 25 item of affective words of Fashion Sensibility were constructed.

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Subject Sense, Sensibility and Preference Evaluation of Fancy Yarns for Hand Knitting (수편용 장식사의 주관적 감각과 감성평가 및 선호도)

  • Kim, Mi-Jin;Park, Key-Yoon;Park, Myung-Ja
    • Journal of the Korea Fashion and Costume Design Association
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    • v.13 no.1
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    • pp.11-20
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    • 2011
  • The yarn company needs to conform to the consumers' sensibility, which has become diverse, in developing its yarn, which fixes the matter property and the sensibility in knit product. In particular, the development of fancy yarn, which is expected to have great influence upon the sensibility of material due to being a diverse form of knit yarn, may increase activation of the knit industry. Eight different fancy yarns were chosen: loop, Ratine, tam tam, fur 1, fur 2, chenille, ladder and tape yarn. The manufacturing methods of these yarns are all different. The sensibility was evaluated through a questionnaire targeting 60 women in their 20s of the expert group. Factor analysis, reliability, correlation analysis, ANOVA, Duncan, and regression analysis were carried out by using SPSS 12.0. First, according to the results of analyzing the sense factor, three factors were extracted: 'inflexibleness/rugged', 'lightweight' and 'smooth'. 'Activity', 'grace' and 'purity' were extracted in regard to the sensibility factor. H3(tam tam) sample showed high value in all of preference, purchase intention and word-of-mouth intention. To increase consumers' preference, purchase intention, and word-of-mouth intention, its effect is thought to be likely to be possibly seen only when increasing the factor of pure and simple grace and when reducing the hard and stiff inflexibleness/ruggedness sense. It is expected to be likely to possibly secure marketability as knit product, which has product competitiveness, given the product planning in a company of producing knit.

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A Study on the Meaning of Sensibility and Vocabulary System for Sensibility Evaluation (감성 평가를 위한 감성의 의미 재정립과 어휘 체계에 관한 연구)

  • Jung, Hyun-Won;Nah, Ken
    • Journal of the Ergonomics Society of Korea
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    • v.26 no.3
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    • pp.17-25
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    • 2007
  • 'Emotional value' has been a buzz word for design and ergonomics in the era of business innovation. However, the complication of 'emotion' in terms of literal and practical meaning has made it a challenging but confusing task for designers to develop a new product with emotional value. 'Sensibility' and 'emotion' are interchangeable terms to describe human feeling ('gamsung' in Korean). The confusion reached at its peak with Korean terms. Even scholars in Korean language, psychologists, ergonomists, and designers are bewildered at the choice of proper expression for human feeling in both Korean and English. The difficulty could explain the problems in 'sensibility ergonomics' in Korea. The purpose of this paper is to provide both fundamental and satisfying information with people in the area of 'sensibility ergonomics'. Therefore, in this paper, a number of articles and books on sensibility, psychology, sensibility ergonomics, and design were reviewed to clarify the meaning of sensibility and relationship among similar words that have been used with unintentional misunderstanding. Also many adjectives on human sensibility were collected and complied for the use of sensibility evaluation.

Evaluation Descriptions and Dimension on the Sensibility of Internet Fashion Shopping Mall (인터넷 패션 쇼핑몰에 대한 감성단어추출과 평가차원)

  • 박현희;구양숙
    • Journal of the Korean Home Economics Association
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    • v.40 no.1
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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.

Design of Big Data Preference Analysis System (빅데이터 선호도 분석 시스템 설계)

  • Son, Sung Il;Park, Chan Khon
    • Journal of Korea Multimedia Society
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    • v.17 no.11
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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'

Sensibility Factors of Colored Light (색광에 대한 감성 요인들)

  • 박창호
    • Korean Journal of Cognitive Science
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    • v.13 no.3
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    • pp.23-31
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    • 2002
  • Previous studies on color sensibility employed mostly general emotional and/or sensational words, and could not have a focus on the matter of 'color'. This study tried to collect sensibility words of color widely, and select representative words in a systematic way, with a result of 90 sensibility word list. 25 participants were asked to indicate how they feel on each item of the list when each of 22 colored light was projected on the screen. Factor analysis of data extracted 5 sensibility factors, such as mildness, neatness, splendour, dynamic, and weightiness. They were thought to represent color sensibilities more specifically, while having some similarities to, than those factors proposed previously. Issues on interpretation of factors and application of this result were discussed.

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AUTONOMIC MECHANISMS OF AN ACUTE STRESS RESPONSE DURING WORD RECOGNITION TASK PERFORMANCE WITH INTENSE NOISE BACKGROUND (백색소음하의 단어재인검사 수행에 따른 자율신경계 스트레스 반응)

  • ;;;Estate Sokhadze
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 1999.03a
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    • pp.127-132
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    • 1999
  • Cardiovascular, respiratory and electrodermal responses to acute stress episodes modeled by combined presentation of intense white noise and performance of word recognition task with noise background were studied in 15 college students. Experimental procedure consisted in sessions with white noise, word recognition task presentation with noise background and test with noise background. Recorded physiological variables were analyzed in terms of their sensitivity to detect activation of sympathetic and parasympathetic branches of autonomic nervous system and thus reflect autonomic arousal level during shout-term stress-inducing experimental manipulations. It was shown that performance of effortful mental task with noise background elicited significant physiological responses typical for active coping behavior, namely electrodermal arousal and increased cardiovascular activity. this response profile was more profound as compared to white noise only or attending task in noise background. However, all physiological responses were mostly phasic, without long-term tonic changes, since almost all variables recovered to their initial baseline levels, suggesting that dominant autonomic mechanisms in transient acute stress episodes were of parasympathetic nature (withdrawal in stress with subsequent activation in restoration period), while sympathetic contribution was not long-lasting. Nevertheless, increased number of stressors and their longer exposure may result in higher profile of tonic sympathetic arousal and reduced functional role of vagal mechanisms in autonomic balance regulation.

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A Study on the Sensibility Evaluation Criteria of a Spatial Environment - Focusing on an interior spatial environment - (공간환경의 감성평가척도에 관한 연구 - 인테리어 공간 환경을 중심으로 -)

  • Han, Myoung-Heum;Oh, In-Wook
    • Korean Institute of Interior Design Journal
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    • v.19 no.4
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    • pp.3-10
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    • 2010
  • The purpose of this study is to select and analyze words that represent various emotional states towards a spatial environment. Selecting appropriate words for the sensibility evaluation of a spatial environment is a process of constructing sensibility indicators, so that an accurate selection of sensibility words is very important. To collect basic words for this study, words for expressing sensation, emotional states, and sensibility regarding a spatial environment have been collected first via free association and a literature review of previous studies. In the second stage, the selected words are refined. Fifteen evaluators have participated in the first process of refining words, 140 college students participated in the second process, and than the final list of 277 refined words has been selected. During the third stage, 15 specialists were asked to evaluate the appropriateness of sensibility evaluation words, for that 7 point-scale has been applied. Then, 99 words with an average point of 4.55 or more and a standard deviation of 1.55 or lower were selected. After investigating the similarity in the meanings of the selected words, 55 pairs of contrasting words have been selected as a final list of sensibility evaluation words. During this last stage, 307 college students majoring in related fields were asked to evaluate the appropriateness of sensibility evaluation words for a spatial environment, and 7 point-scale was obtained. A factor analysis, cluster analysis, and multidimensional analysis have been conducted on the data obtained from these survey. According to the results of the factor analysis, the eight important factors are obtained from the sensibility evaluation criteria of a spatial environment(form, texture, function, value, comfort, aesthetics, atmosphere, and affinity). The factors obtained from this study can be used in the beginning stage of evaluating the sensibility factors of a spatial environment. In addition, the results of this study can be used as basic data when constructing a list of evaluation indicators to select various complex sensibility words for a space; or as general indicators when evaluating various spatial design factors.

Quantification Method of Kinesthetic Sense of Arm with Compensation for Individual Difference (개인차 보상을 고려한 팔운동감의 정량화 방법)

  • 정웅철;송재복;김용일
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.2
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    • pp.227-234
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    • 2000
  • The human sensibility caused by the motion of an object grasped by a human operator is defined as kinesthetic sense of arm. Due to nonlinearity and ambiguity of human sense, there is no absolute standard for quantification of kinesthetic sense. In this research, a so-called 2-dimensional arm motion generator is developed to present various mechanical impedance (i.e., stiffness or damping) characteristics to a human arm. The kinesthetic words representing arm kinesthetic sense are selected and then the subject's satisfaction levels on these words for given impedance values are measured and processed by the SD method and factor analysis. In addition, the quantification method using neural network is proposed to take into account the individual difference between the mean sensibility and each subject's sensibility. Through this proposed algorithm, the sensibility of human motion described qualitatively can be converted into engineering data ensuring objectivity, reproducibility, and universality.

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Examining Kansei design keywords in Human Design technology (1)

  • Matsunobe, Takuo;Doi, Atsushi;Yamaoka, Toshiki
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2000.04a
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    • pp.189-190
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    • 2000
  • The purpose of this study is to estimate of design and ambience of goods by using 5 Kansei design items (shape, color, sense of material, fit, functionality/convenience). This paper describe that effectiveness of 5 Kansei design items. selecting image words and correspondence of 5 Kansei design items with image words. Kansei design items, selecting image words and correspondence of 5 Kansei design items with image words. (image words: the word describing about item image)

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