The purpose of this study was to evaluate the preference of image for modern application of Korean traditional patterns. A survey was conducted using the random selection among female undergraduate students in Daegu city. The degree of interest and preference in Korean traditional style or something like that measured by 5 scale method. And then they were classified into two groups which were interest/non-interest group, and preference/non-preference group. The image of Korean traditional patterns consisted of semantic differential scales. Frequency, percentage and mean were analyzed, for difference of groups t-test was analyzed. The results were as fellows; 1. For the degree of interest for Korean traditional patterns, it was showed that 53.8% of total respondents took interest and about 40.4% of them had preference for traditional patterns. the correlation coefficient of the degree of interest and preference was 0.782(p<0.01) and showed that the positive correlation was high. 2. Among 20 kinds of Korean traditional patterns, the degree of preference for the patterns of plants and nature was quite high whereas that for the patterns of geometrical things was low relatively. 3. It was evaluated that pattern of nature was fresh, refined and womanly image generally. It was evaluated that pattern of plants was womanly, fresh, weak, light and soft image and that of animals was heavy, splendid, high-class, manly, strong and positive image. It was evaluated that pattern of geometrical things was the most refined image and high-class, rigid and strong. 4. The statistical significance of mean between interest/non-interest group was showed statistically in the patterns of clouds, mountains, lotus, apricot, orchid, dragon, phoenix and bogey. In case of pattern of orchids, the degree of preference was most different between interest/non-interest group. 5. The pattern of plants showed the most different evaluation for images between interest/non-interest group. For refined/old-fashioned polar adjective images, the interest group evaluated the pattern of plants more refined. 6. For pattern of orchids, the difference of degree of preference between preference/non-preference group was most remarkable in Korean traditional patterns. 7. The pattern of geometrical things showed the most different evaluation for images between preference/non-preference group. For warm/cool polar adjective images, the preference group evaluated the pattern of geometrical things cooler.
We propose that a subjective image quality assessment based on objective image quality factors in order to evaluate objectively preference of consumers. In other words, we define objective image quality factors which are easy to accept by manufacturers and they are composed of subjective image quality assessment questionnaires. Also, portrait image is selected by stimulus in order to persue easiness of evaluation for the general subjects. Throughout a subjective image quality assessment model, we evaluate recognition of image quality by consumers and analyze the effectiveness of correlation in terms of the final image quality preference. Analyzing the relationship between image quality factors, we can figure out the preferable image quality and confirm the positive effects on consumers' recognition of image quality. In the results, there are strong relationship between preference and color reproduction, dynamic range, noise, and resolution respectively. especially, the characteristic of portrait, there is high correlation between color reproduction and preference.
Journal of the Korea Fashion and Costume Design Association
/
v.16
no.1
/
pp.1-13
/
2014
The purposes of the study were to explore differences in preference for clothing images according to wearing situations and clothing product involvement. A questionnaire was developed by the researcher and was collected by 101 men and 100 women aged between 40 and 59. Data were analyzed by factor analysis, repeated measure ANOVA, t-test adjusted by Bonferroni, paired sample t-test, and independent sample t-test. The results of the study showed that clothing images were classified into five factors including hard cold image, modern urban image, bold unique image, and heavy luxurious image. There were significant differences in preference among clothing images according to wearing situations and clothing product involvement. While modern urbane image was most preferred, hard cold image was least preferred in both formal and informal wearing situations, and for either high or low involvement clothing products. Also, there were significant differences in clothing image preference according to wearing situations and product involvement. In formal situations, stronger preference for modern urban image and heavy luxurious image showed than in informal situations, and bold unique image and heavy luxurious image were more preferred for high involvement clothing product than for low involvement clothing product. In addition, there were significant differences in preferences for clothing images between groups according to gender and age. In both formal and informal situations, men showed stronger preferences than women for hard cold image, but women for bold unique image. For either high or low involvement clothing products, men preferred hard cold image, modern urban image and heavy luxurious image more than women, but women preferred bold unique image more than men. Lastly, for high involvement clothing product, subjects aged fifties showed stronger preferences than forties for modern urban image and heavy luxurious image, but for low involvement clothing product, modern urban image was more preferred.
Journal of the Korean Society of Clothing and Textiles
/
v.17
no.3
/
pp.367-379
/
1993
The objectives of this study were to classify the contents of clothing image preferences of Korean and American students, and to examine how clothing image preferences vary according to sex role identity, sex, and culture. A woman's clothing image preference inventory and the Bem Sex Role Inventory were administered to 127 Korean students and 116 American students. Sex role idendity was classified into androgynous, masculine, feminine, and undifferentiated type. 1. Four segments of woman's clothing image preference derived by factor analysis : F. 1 'splendid-plain' ; F. 2 'feminine-masculine' ; F. 3 'casual-formal' ; F. 4 'classic-contemporary'. 2. Americans prefered splendid image more than did Koreans. Androgynous-typed males liked splendid image most among American male subjects. 3. There was interaction effect between sex and culture on feminine-masculine image preference. In Korean students, males liked feminine image much more than did females. Masculine-typed females liked masculine image most among American female subjects. 4. Koreans prefered casual image more than did Americans. 5. There was interaction effect between sex role identity, sex, and culture($4{\times}2{\times}2$) on classic-contemporary image preference. Feminine-typed females liked classic image most among Korean female subjects. 6. Korean males especially prefered luxurious image least. Korean females contemporary most, American males sexy most, American females fashionable most among four subject groups. That is, differences on clothing image preferences were found according to sex role identity, sex, and culture.
This research was designed to compare the subjective evaluation of texture image and preference between offline and online by structural characteristics of women' jacket fabrics for spring and summer. 78 participants evaluated the sensibility image and preference of various fabrics. The data were analysed by factor analysis, t-test, Pearson's productive correlation, regression, and multi dimensional scale. The results were as follows: Sensibility image factors of women' jacket fabrics were 'classic' 'sophisticated' 'natural' 'characteristic' and 'practical'. Between offline and online, sensibility images showed no differences. In sensibility images, 'classic'-'sophisticated', 'natural'-'practical', and 'practical'-'characteristic' images showed significant correlation. By analyzing the contribution of fabric structure on sensibility images, density affected on the 'classic' image offline and online. By the results of regression analysis, thickness, density and weave affected on the tactile preference. In sensibility images, 'classic', 'sophisticated' 'characteristic' images were the influencing factor. 'Sophisticated', 'natural', 'characteristic' and 'practical' images affected on the purchase preference.
The purposes of this study were to segment female consumers on the basis of their clothing image preference, and to investigate the clothing purchasing behaviors of each segmented market. The research method was a questionnaire survey and participants were 700 women aged from 20's to 60's in Daejeon and Chungnam province. The questionnaire consisted of items for clothing image preference, clothing purchasing behaviors and the participants' demographic characteristics. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, cluster analysis, ${\chi}^2$ test, ANOVA and the Scheff$\'{e}$ test. The results were as follows. Female consumers were divided into 7 types(sophisticated, natural, characteristic, elegant, active, feminine, and neat type) by clothing image preference. The 7 segmented market groups differed in many ways in terms of demographic characteristics and various clothing purchasing behaviors(clothing selection criteria, purchasing motives, fashion information sources, places of purchase, shopping frequency, and quantity and cost of purchases). The results of this study supported the view that clothing image preference can be a useful and effective variable for female market segmentation.
The purpose of this study was to investigate emotional images and preference of knitwear by tone on tone combination. The subjects were 357 university students in Daejeon and Chungnam province, and the measuring instruments were 6 stimuli manipulated by color and tone combination type of background and pattern in the tone and tone combination, and self-administrated questionnaires consisted of emotional images items, preference items, and subjects' demographics attributions. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, t-test, MANOVA and Duncan's multiple range test, using SPSS program. The results were as follows. First, four factors (attractiveness, conspicuity, mildness, and activity) are emerged on emotional images of knitwear. Second, color had main effects on emotional images and preference. Gray color was perceived as most attractive image and more preferred than others. Third, tone combination type had some effects on emotional images. Vivid tone background/light tone pattern was perceived more attractive image but less conspicuous and mild than light tone background/vivid tone pattern. Forth, subjects' gender had an effects on conspicuous image. Male was perceived more conspicuous image on knitwear stimuli than female. Fifth, color and subjects' gender had interaction effects on attractiveness image and preference. Male perceived that blue is more attractive and preferred than female.
The purpose of this study is to examine the evaluation of texture image and preference according to the structural characteristics of silk fabric, and to analyze the effects of texture image and sensibility on the preference. 53 female subjects evaluated fabric image and sensibility of 17 specimens of white silk fabrics sold on the market with semantic differential scale. The data were analyzed through factor analysis, Pearson correlational coefficient and t-test using SPSS win 13.0. For the evaluation, structural characteristics such as fiber contents, weave type, weight and thickness were analyzed. Factor analysis showed that sensibilities were classified into 3 categories; 'surface property', 'weight', 'flexibility'. Fabric images were classified into 2 categories; 'elegance' and 'naturalness'. Statistically significant differences of structural characteristics on the texture image were observed. Weave type affected 'surface property' and fiber contents affected' flexibility'. Weight and weave type affected' elegance', too. The significant factors affecting preference were fabric image of 'elegance' and structural characteristics of 'weave type'. The results of this study showed that the most preferred silk fabric is smooth and soft satin weaved fabric with texture image of 'elegance'.
We propose a new method that specifies objective image quality factors by evaluating an image quality measurement model using random images. In other words, No-Reference variables are used to evaluate the quality of an original image without using any reference for comparison. 1000 portrait images were collected from a web gallery with votes constituting over 30 recommendation values. The bottom-up data collecting process was used to calculate the following image quality factors: total range, average, standard deviation, normalized distribution, z-score, preference percentage. A final grade is awarded out of 100 points, and this method ranks and grades the final estimated image quality preference in terms of total image quality factors. The results of the proposed image quality evaluation model consist of the specific dynamic range, skin tone R, G, B, L, A, B, and RSC contrast. We can present the total for the expected preference points as the average of the objective image qualities. Our proposed image quality evaluation model can measure the preferences for an actual image using a statistical analysis. The results indicate that this is a practical image quality measurement model that can extract a subject's preferred image quality.
The purposes of this study were to investigate preference and images of Korean traditional motifs, and to identify the relationship between them. The subjects consisted of 369 male and 356 female undergraduate students. The experimental materials used in this study were 48 stimuli and a questionnaire composed of 7-point semantic differential scales of 26 adjectives. Twelve motifs selected from 3 groups of Korean motifs were used as pattern design stimuli. Twelve repeated patterns were constructed from them to be applied on a CAD-simulated dress. The data were analyzed by ANOVA, Duncan's multiple range test, and regression. The major findings were as follows : 1. Category, composition type, and application object had a significant effect on the preference. Interpretation type has no significant effects on the preference independently, but it had interaction effects when combined with composition type, and category. Especially the composition type had a greater effect than the other variables on the preference. Cloud motif and its abstract and decorative type were found to be more related to the preference than the other category and interpretation type. On the basis of the analysis results, image charts and preference charts were developed. By combining information from the image chart and preference chart, motifs and images preferred by consumers may be selected and developed into new valuable designs. 2. The preference was affected mainly by 'quality'image followed by 'simplicity', 'interest', and 'modernity'image. The preference on pattern design was affected by 'quality', 'simplicity', 'interest', and 'interest', 'simplicity', and 'modernity'image in the order. The relationship between the preference and sensibility images has been represented by equations.
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