• Journal of the Korean Dietetic Association
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• v.14 no.2
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• pp.186-197
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• 2008

The aim of this study was to measure the brand images of contract foodservice management companies by identifying brand image attributes and then developing a measurement scale to measure the weight of these attributes. The measurement scale was developed by following a 5-stage process that included face-to-face interviews with experts, literature review, questionnaire surveys, verification of scale validity, exploratory factor analysis, and confirmatory factor analysis. A total of 137 items measuring brand image were collected: 37 items from studies of brand image and corporate image, 55 items from studies of contract foodservice management companies and 45 items from the internet and websites of contract foodservice management companies. A survey was then conducted to assess the validity and reliability of the questionnaire items. Ultimately, the 137 items were reduced to 40 items. The calculated Cronbach's alpha for the 40 brand image items was 0.934, demonstrating good internal consistency. Based on exploratory factor analysis (EFA), employee attitude, menu content, corporate image, dining location and ambience, along with 33 subattributes, were identified as brand image attributes. Employee attitude was the most significant attribute influencing brand image. After confirmatory factor analysis (CFA) and a review process, four brand image attributes and 33 subattributes were finalized and incorporated into the scale.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.35-47
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• 2018

The 4th industrial revolution, digital image technology has developed beyond the limit of multimedia industry to advanced IT fusion and composite industry. Particularly, application technology related to HCI element algorithm in 3D image object recognition field is actively developed. 3D image object recognition technology evolved into intelligent image sensing and recognition technology through 3D modeling. In particular, image recognition technology has been actively studied in image processing using object recognition recognition processing, face recognition, object recognition, and 3D object recognition. In this paper, we propose a research method of human factor 3D image recognition technology applying human factor algorithm for 3D object recognition. 1. Methods of 3D object recognition using 3D modeling, image system analysis, design and human cognitive technology analysis 2. We propose a 3D object recognition parameter estimation method using FACS algorithm and optimal object recognition measurement method. In this paper, we propose a method to effectively evaluate psychological research techniques using 3D image objects. We studied the 3D 3D recognition and applied the result to the object recognition element to extract and study the characteristic points of the recognition technology.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.2
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• pp.263-275
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• 1992

This study intends to provide strategic positioning of brand image analysed from the view point of perceptual dimensions of clothing consumers. Consumers are segmented on the basis of the attributes of brand image, and in each segment, perceptual map is composed according to multidimensional scaling. The results are as follows; 1. According to the Benefit Segmentation, it is statistically significant that the consumers are divided into 'product-factor oriented group 'and' image-factor oriented group'. 2. From the analysis of perceptual map upon the 'similarity of brand image,'image-factor oriented group 'perceives more differently than 'product-factor oriented group' 3. From the analysis of perceptual map with the evaluation of attributes of brand image, price, promotion and design are significant determinants in 'total consumer group'. In addition, store image is significant determinant in' image-factor oriented group' and quality is significant determinant in' product-factor oriented group'. According to the evaluation of consumers on 8 brands with determining attribute-vector, ranks of brands in each segment are similar in the vector of price and promotion but different in the vector of design between segment groups. 4. From the analysis of perceptual map upon the preference of brand image, the distribution of preference and position of ideal point are different between segment groups. 5. With evaluation of purchase habit, statistically significant differences are found between groups segmented in the degree of importance of attributes, purchasing motive, purchasing time, sources of information and expenses for clothes.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.4
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• pp.631-646
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• 1996

The purpose of this study was to investigate the difference of visual evaluation about silhouette image. The specific objective were; 1) to construct of silhouette image evaluation instrument using semantic differential scale for the purpose of measuring the width and length; 2) to identify the factor structure of the silhouette; 3) to test the difference of visual perception to the silhouette as the variation of width; 4) to test the difference of visual perception to the silhouette as the variation of length; 5) to test interaction effect between width and length. The major finding were; For the visual evaluation of silhouette as shoulder width variatiorl, there were significant difference in hardness and softness factor. For the hard and soft image, we should express by variation of the shoulder width. For the visual evaluation of silhouette as skirt width variation, there were significant difference in attention factor. For the attensive image, we should express by variation of the skirt width. For the visual evaluation of silhouette as skirt length variation, there were significant difference in activity factor. For the active image, we should express by variation of the skirt length.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.3
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• pp.589-599
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• 1997

The purpose of this study was to investigate compostion factor and special qualities of design about Korean clothing image. The 72 samples were obtained from domestic fashion magazines. The questionnaire, which was composed 23 semantic diffrential bi-polar scales, was distributed to 50 female students majoring in Clothing and Textiles. The data were analyzed through factor analysis, anova, scheffe's test, clust analysis. The results were as follows; 1) Through factor analysis about Korean clothing image, 5 factors were identified; elegance, simplicity, femininity, tradition, looseness. 2) By cluster analysis, 3 clusters were determined according to Korean clothing image. Special qualities of design about Korean clothing image showed that there were lots of H silhouette in clothing form, related harmony in color harmony, somewhat rough and crude in texture and simple design in decoration. Top was more or less fit and bottom was found somewhat exaggerated tendency in fitness. 3) As a result of the visual evaluation about Korean clothing image, there were significant differences in all factors.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1494-1496
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• 2007

This paper deals with image quality analysis considering the impact of psychological factors involved in assessment. The attributes of image quality requirement were partitioned according to the visual perception characteristics and the preference of image quality were obtained by the factor analysis method. The features of image quality which support the subjective preference were identified, The adequacy of image is evidenced to be the top requirement issues to the display image quality improvement.

• Korean Journal of Human Ecology
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• v.14 no.1
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• pp.133-141
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• 2005

This research was designed to investigate the effect of a hand and a sensibility image on the preference to skirt textiles. 131 male and female college students were surveyed and 10 kinds of preferred fabrics were used each as a specimen for all 4 seasons. Factor analysis, t-test, Pearson's correlation, and regression were used for a statistical analysis by SPSS WIN 10.0. The results of this study are as follows: 1. In spring/fall season, 6 factors including 'elasticity/flexibility' were extracted as a hand factor, and 2 factors including 'modern elegance' were extracted as a sensibility factor in skirt textiles. 2. In summer season, 5 factors such as 'unevenness/stiffness' were extracted as a hand factor and 2 factors such as 'modern elegance romantic' as a sensibility image. 3. In winter season, 7 factors including 'elasticity' were extracted as a hand factor and 2 factors including 'modern elegance romantic' as a sensibility image. 4. Significant correlations existed between a hand and a sensibility image in spring/fall, summer, and winter. 5. A sensibility image was one of the important factors in the preference to skirt textiles in spring/fall, summer, and winter.

• 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.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.16 no.1
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• pp.9-18
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• 2012

Objectives The aim of this study is to propose an optimized tongue colour interpolation method to achieve accurate tongue image rendering. Methods We selected 60 colour chips in the chips of DIC color guide selector, and then divided randomly the colour chips into two groups. The colour chips of a group (Gr I) were used for finding the optimized colour correction factor of error and those of the other group (Gr II) were used for verifying the correction factor. We measured colour value of the Gr I colour chips with spectrophotometer, and took the colour chips image with a digital tongue image system (DTIS). We adjusted colour correction factor of error to equal the chip colour from each method. Through that process, we obtained the optimized colour correction factor. To verify the correction factor, we measured colour value of the Gr II colour chips with a spectrophotometer, and took the colour chips image with the DTIS in the two types of colour interpolation mode (auto white balance mode and optimized colour correction factor mode). And then we calculated the CIE-$L^*ab$ colour difference (${\Delta}E$) between colour values measured with the spectrophotometer and those from images taken with the DTIS. Results In auto white balance mode, The mean ${\Delta}E$ between colour values measured with the spectrophotometer and those from images taken with the DTIS was 13.95. On the other hand, in optimized colour correction factor mode, The mean ${\Delta}E$ was 9.55. The correction rate was over 30%. Conclusions In case of interpolating colour of images taken with the DTIS, we suggest that procedure to search the optimized colour correction factor of error should be done first.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.2
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• pp.101-111
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• 2012

The purpose of this study is to evaluate the differences of visual image on variations in the length and princess line, in a silhouette of a one-piece dress with the application of the 3D Virtual Clothing System known as i-designer. Eight sample were examined: 2 variations of the length and 2 variations of the princess line, 2 variations of the form of a silhouette. The data was obtained from 66 fashion design majors. The data was assessed by a t-test and a multi-way ANOVA and factor analysis. The results were as follows; The visual image according to the design variables, four factors were selected; the attractiveness factor, the activeness factor, the practicality factor, the elegance factor. In these factors, the attractiveness factor is estimated by the most important factor. As a result of analyzing the effect of the interaction in the visual image according to the design variables, the influence of the main effect was found to be great in each factor. In the activeness factor, a significant difference was noted in the two-way interaction between the length and the princess line, the length and the silhouette. In the elegance factor, a significant difference was noted in the two-way interaction between the length and the silhouette. However, the influence on three-way interaction among the length, the princess line, and the silhouette was not significant.