• Title/Summary/Keyword: Image preference

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Evaluation of the Texture Image and Preference according to Wool Fiber Blending Ratios and the Characteristics of Men's Suit Fabrics (모섬유의 혼방비율과 직물 특성에 따른 남성 정장용 소재의 질감이미지와 선호도 평가)

  • Kim, Hee-Sook;Na, Mi-Hee
    • Korean Journal of Human Ecology
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    • v.20 no.2
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    • pp.413-426
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    • 2011
  • This research was designed to compare the subjective evaluation of texture image and preference according to fiber blending ratio of men's suit fabrics. 110 subjects evaluated the texture image and preference of various fabrics. For statistical analysis, factor analysis, MDS, pearson correlation and ANOVA were used. The results were as follows: Sensory image factors of suit fabrics were 'smoothness', 'bulkiness', 'stiffness', 'elasticity', 'moistness' and 'weight sensation'. Sensibility image factors were 'classic', 'practical', 'characteristic' and 'sophisticated'. 'Bulkiness' and 'elasticity' sensory images showed high correlations with sensibility images. Fabrics with high wool blending ratio showed as 'classic' and 'sophisticated', 'bulkiness' and 'elasticity' texture images and fabrics with low wool blending ratio showed texture images of 'characteristic', 'surface character', 'stiffness', 'moistness' and 'weight sensation'. Wool fiber blending ratio affected on the purchase preference and tactile preference. Using regression analysis, it was shown that sensibility images had more of an effect on preference than sensory images. The thickness and pattern type showed positive effects and fiber blending ratio showed negative effects on the preference.

Effect of Self-Image Congruence, Clothing Preference and Reference Price on Payment Intention Price (자기 이미지 일치성과 의복 선호 및 준거 가격이 지불의도 가격에 미치는 영향)

  • Chung, Ihn Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.40 no.1
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    • pp.148-157
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    • 2016
  • In this study, the notion of payment intention price was introduced and examined in relation with self-image congruence, clothing preference and two types of reference price: expected price and fair price. One hundred samples of female collegiate students participated in the group survey and responded to the instrument including variables of clothing image evaluation, clothing preference, reference price, payment intention price toward a one-piece dress as the stimulus, and ideal self-image perception. Descriptive statistics, correlations, and regressions were applied on data analysis. The results were as follow. Payment intention price was determined by clothing preference and fair price, and the explaining power of fair price was greater than clothing preference. One confirmatory path was observed that self-image congruence effects clothing preference, and then clothing preference effects payment intention price. The other confirmatory path was from expected price to fair price and fair price to payment intention price.

Difference in the Visual Preference of the Bridges - The Case of the Han River - (교량의 시각적 선호도의 차이 - 한강의 교량을 대상으로 -)

  • Huh, Joon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.30 no.2
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    • pp.1-11
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    • 2002
  • The purpose of this study is to investigate landscape image and define elements of difference in visual preference of bridges on the Han River. To do this end, video was used as a media for the evaluation of the landscape image of 16 bridges on the Han River using a Semantic Differential scale. Data is collected by 50 students from Woosuk University, majoring landscape architecture. Final analysis utilized a total of 704 samples of data. Data is analyzed through descriptive statistics, and spatial image is analyzed by factor analysis algorithm Principle component analysis using Varimax method is applied far extraction and factor rotation. T-test is used to find the difference between the bridge type of preference with the data of factor score. Logistic regression is used to select the factors that influences the visual preference among the image factors. The results of this study can be summarized as follows; The image of whole bridges on the Han River is somewhat orderly, sequential and open. The degree of visual preference of unique bridge type is higher than normal but there are some differences in visual preference within the same type of structure. This suggests that the surrounding landscape is one of the important factor for visual preference. Factors covering the image of bridge are found to be 'aesthetic', 'structure','spatial factor', and 'shape'. Total variance is obtained as 60.4%. The aesthetic variables are the most important factor for visual preference and the structural factor presents no significant difference in visual preference between more preferred and less preferred bridges. Since the collapse of Songsu Bridge, we thought the structural factor is very important but the results of this study suggest that it is more important to consider the aesthetic and spatial factors of the bridge to increase the visual preference when planning and designing bridges. Simulations with more detailed data about surroundings should be utilized practical design.

A Recommender System Model Using a Neural Network Based on the Self-Product Image Congruence

  • Kang, Joo Hee;Lee, Yoon-Jung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.44 no.3
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    • pp.556-571
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    • 2020
  • This study predicts consumer preference for social clothing at work, excluding uniforms using the self-product congruence theory that also establishes a model to predict the preference for recommended products that match the consumer's own image. A total of 490 Korean male office workers participated in this study. Participants' self-image and the product images of 20 apparel items were measured using nine adjective semantic scales (namely elegant, stable, sincere, refined, intense, luxury, bold, conspicuous, and polite). A model was then constructed to predict the consumer preferences using a neural network with Python and TensorFlow. The resulting Predict Preference Model using Product Image (PPMPI) was trained using product image and the preference of each product. Current research confirms that product preference can be predicted by the self-image instead of by entering the product image. The prediction accuracy rate of the PPMPI was over 80%. We used 490 items of test data consisting of self-images to predict the consumer preferences for using the PPMPI. The test of the PPMPI showed that the prediction rate differed depending on product attributes. The prediction rate of work apparel with normative images was over 70% and higher than for other forms of apparel.

A Study on Clothing Behavior and Clothing Image of Out/Inner Wear According to Sex Role Stereotype (성역할정체감이 겉옷.속옷에 대한 의복행동 및 의복이미지 선호에 미치는 영향)

  • 윤은아;이선재
    • Journal of the Korean Society of Clothing and Textiles
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    • v.24 no.2
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    • pp.152-163
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    • 2000
  • This study intends to analyze the sex role stereotype that could be effective variable for conduction clothing behavior and clothing image preference, to find out the relationship between sex role stereotype and out/inner wear clothing behavior and clothing image preference of women, and to provide useful information for establishing marketing strategies of out/inner wear market. A total of 628 samples were selected from adult female in Seoul. Questionnaire was used as major method of gathering data. They were analyzed by SAS package. Main result of this study were follows: 1. In the relationship between clothing behavior and clothing image preference and demographic variables, four clothing-behaviores of out wear, and comfort and aesthetics of inner wear showed significant differences according to all of the demographic variables. 2. In the relationship between sex role stereotype and clothing behavior and clothing image preference, four types of sex role stereotype were showed significant differences in comfort, modesty, aesthetics and masculine-feminine image of out wear, and masculine-feminine image of inner wear. 3. In the consistency between out wear clothing behavior and clothing image preference, and inner wear clothing behavior and clothing image preference according to sex role stereotype, all cases except one showed no significant consistency.

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The Effects of VMD Components on Consumers' Store Image and Preference - focused on interior color and product volume of clothing shop- (VMD 구성요소가 점포이미지와 선호도에 미치는 영향 -의류매장의 실내색상과 상품수량을 중심으로-)

  • Lee, Mi-Sook
    • Korean Journal of Human Ecology
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    • v.18 no.1
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    • pp.247-257
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    • 2009
  • The purpose of this study was to examine the effects of interior color and product volume of clothing shop on consumer's store image and preference for a clothing shop. The research methodology was a survey questionnaire and the subjects were 516 university students in Daejeon, Korea. The measuring instruments were stimuli and self-administrated questionnaire. The stimuli were 7 pictures of clothing shop including interior color and product volume variables, and the self-administrated questionnaire consisted of semantic differential scales for store image, store preference, and subject's demographic attribution. The data were analyzed by t-test, ANOVA, MANOVA, Duncan's multiple range test, based on SPSS program The results were as follows: first, in clothing shop's interior colors affecting store image and preference for clothing shop, white color gave a casual, sophisticated, characteristic, and attractive image to the shops, and brown color gave an elegant, sophisticated image, while black color gave a sophisticated, uncomfortable image, and gray color gave a less positive image to them than other colors. Subjects preferred white, brown, and black color in the order. Second, clothing shop's products volume also affected consumers' store image and preference. Its small volume gave a more sophisticated, elegant image than other volume levels, and subjects preferred small and medium volume of clothing products to their large volume. Third, the effects of shop's interior color and clothes' product volume on store image were different depending on subject's sex. The results revealed that clothing shop's interior color and product volume are important VMD components affecting consumer's store image and preference, and consumer's sex has to be considered to understand the effects of VMD components on clothing shop image.

Fashion Image Segmentation of 20's Female Apparel Market and Apparel Color Preferences (의복 이미지 선호에 따른 20대 여성 정장시장 세분화 및 색채 선호도)

  • 김영인;고애란;홍희숙
    • Journal of the Korean Society of Clothing and Textiles
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    • v.24 no.1
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    • pp.3-14
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    • 2000
  • The purpose of this study were 1) to segment 20's female apparel market using consumer's fashion image preference in formal wear, and 2) to identify the group differences in seasonal color (hue and tone) and color image (image associate with lightness and chroma) preference as well as in demographic variables. The subjects were 253 females in their late twenties living in Seoul, Korea. The data were collected using self-administred questionnaires and analyzed by factor analysis. Cluster analysis, $\chi$2 -test, one-way ANOVA, and Duncan test. The results of this study were as follows: 1) Four fashion image groups were identified through cluster analysis using consumer's fashion image preference: Elegant image group, Sexy image group, Lively image group, and Romantic image group. 2) There were significant differences among fashion image groups in hue preference for spring clothes, tone preferences for spring and fall clothes. Color images are associated with lightness for spring and summer, and are associated with chroma for spring, summer, and fall. Group differences in demographic variables were found in socio-economic status and average expenditure for formal jacket.

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Brand Preference Influence Factors (브랜드 선호도 영향 요인)

  • Kim, Se-Hwan
    • Journal of Industrial Convergence
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    • v.11 no.1
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    • pp.1-13
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    • 2013
  • In this study, I tried to study whether the congruence between consumer's brand image and self image influences consumer's brand preference. the outcomes of the study suggest that the consumers purchase the image of the brands, rather than the products themselves. Thus, the firm must develop the brand image focused on consumer's preference.

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An Analysis on the Image and Visual Preference of the Environmental Sculpture in Urban Streetscapes (도시가로 경관에 있어 환경조형물의 이미지 및 시각적 선호도 분석)

  • Suh, Joo-Hwan;Park, Tae-Hie;Heo, Jun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.32 no.1
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    • pp.57-68
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    • 2004
  • The purpose of this paper is to discover the Image and Visual Preference of the Environmental Sculpture in Urban Streetscape. For this, the analysis was preformed by the data obtained from questionnaires and from the photos of the environmental sculptures scene. The landscape image was analyzed by the factor analysis algorithm. The level of visual preference was measured by a slide simulation test, and this data was analyzed by multiple regression. The results of this study can be summarized as follows: The visual preference of the environmental sculpture has been evaluated to average 4.03 on a scale of 7 Landscape slides No. 11 and No.5 were ranked more highly for visual preference. Factors formulating the landscape image were found to be 'beauty', 'orderliness', 'emotion', and 'formation'. By using the control method for the number of factors, T.V., were obtained as 63.0%. For all experimental landscape slides, the factor of orderliness was found to be the main factor determining the visual preference. The 4 factors for visual preference were analyzed by regression as follows: Visual Preference = 3.996 + 0.341(FS1) + 0.595(FS2) + 0.222(FS3) + 0.011(FS4), R-Square = 0.520.

Evaluation of Texture Image and Preference to Men's Suit Fabrics according to Mechanical Properties, Hand and Fabric Information of Wool Blended Fabrics (모 혼방직물의 역학적 특성과 태 및 소재 정보에 따른 남성 정장용 소재의 질감이미지와 선호도 평가)

  • Kim, Hee Sook;Na, Mi Hee
    • Korean Journal of Human Ecology
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    • v.23 no.2
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    • pp.317-328
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    • 2014
  • In this study, differences of texture image and preference for men's suit fabrics according to mechanical properties, hand and fabric information were investigated. 55 subjects evaluated texture image and preference of 12 kinds of wool blended fabrics. For statistical analysis, t-test and pearson correlation coefficients were used. The results were as follows: Most of mechanical properties effected on texture images, and bending property and shearing property were effected on tactile preference and purchasing preference. For hand, objective hand values showed correlations with subjective texture images and preferences, but THV had almost no correlations. In sensory images according to presence of fabric information, fabrics were evaluated thinner, lighter, more pliable and smooth by cognition of wool blending ratio. For sensibility images, fabrics were evaluated more refined, intellectual, dignified and less practicable after recognize of wool blending ratio. In preferences, tactile preference was increased and purchasing preference was decreased after recognize fabric information. Therefore, significant differences of texture image and preference were observed according to presence of fabric information.