• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.1
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• pp.12-25
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• 2016

Based on the self-congruity theory, this study investigated how congruity between multi-brand store image and consumers' self-image affect store attributes and consumer responses. A total of 331 questionnaires were used to analyze data. The results of research were: 1) 'Sophistication' as the congruity factor between store image and consumers' self-image affected 'utility', 'atmosphere', and 'design' among store attribute factors. Also, 'sincerity' influenced 'utility' as the store attribute factor. 2) 'Atmosphere' as the store attribute factor positively influenced consumers' emotional responses, and 'utility' and 'design' factors positively influenced consumers' cognitive responses. 3) Consumers' emotional responses had a positive impact on consumers' cognitive responses; in addition, consumers' emotional and cognitive responses had positive impacts on consumers' behavioral responses. 4) A-Land indicated higher scores on 'sophistication', 'atmosphere', and 'design' factors than ABC Mart. ABC Mart had shown higher scores on 'ruggedness' and 'utility' factors than A-Land. This study provides practical implications to develop effective marketing strategies to manage multi-brand stores.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.292-304
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• 2009

This paper is to identify how merchandise quality, store environment, personnel service, sales promotion, store amenities and supporting service which is considered to store image components influence on satisfaction and loyalty and examine the role of satisfaction in explaining relationships between store image and loyalty. The results of the study are as follows: (1) each components of store image influence on cognitive satisfaction or emotionally based satisfaction or loyalty. (2) merchandise quality and store amenities have influence on cognitive satisfaction and emotionally based satisfaction is affected by personnel service and supporting service, but store environment has directly influence on loyalty. (3) store image components that is concerned with service in the store e.g. personnel service, supporting service build customer loyalty by mediating emotionally based satisfaction. In order to build strong customer loyalty, marketer have to formed through store image components that is much stronger on loyalty.

• Journal of the Korean Home Economics Association
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• v.42 no.11
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• pp.189-203
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• 2004

The purposes of this study were to identify 1) the effect of physical growth on body criticism from others and body image,2) the effect of body criticism from others on sociocultural attitude toward appearance, body image, and self-esteem, 3)the effect of sociocultural attitude toward appearance on body image, 4)the effect of body image on self=esteem and clothing attitude, and 5) the effect of self-esteem on clothing altitude on Korean female teenagers. The data were collected from 436 high school girls living in Seoul, Korea, via self-administered questionnaires, and were analyzed by factor analysis and LISREL models. The result of this study were as follows: 1) Among three measurement variables of physical growth, the height had a negative effect on body criticism from others. Sexual maturation positively influenced the affective aspect of body image. 2) Body criticism from others had a positive effect on the sociocultural attitude toward appearance and a negative effect on the affective aspect of body image. 3) The sociocultural altitude toward appearance had a negative effect on the affective aspect of body image and a positive effect on the cognitive/behavioral aspect of body image.4) The affective aspect of body image had a positive effect on the cognitive/behavioral aspect of body image, self-esteem, and clothing attitude. However, the cognitive/behavioral aspect of body image had a positive effect on clothing attitude.5) Self-esteem had no significant effect on clothing attitude.

• Korean Journal of Cognitive Science
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• v.25 no.1
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• pp.51-71
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• 2014

This paper presents an image enhancement method in real road traffic scenes. The images captured by the camera on the car cannot keep the color constancy as illumination or weather changes. In the real environment, these problems are more worse at back light conditions and at night that make more difficult to the applications of the vision-based intelligent vehicles. Using the existing image enhancement methods without considering the position and intensity of the light source and their geometric relations the image quality can even be deteriorated. Thus, this paper presents a fast and effective method for image enhancement resembling human cognitive system which consists of 1) image preprocessing, 2) color-contrast evaluation, 3) alpha blending of over/under estimated image and preprocessed image. An input image is first preprocessed by gamma correction, and then enhanced by an Automatic Color Enhancement(ACE) method. Finally, the preprocessed image and the ACE image are blended to improve image visibility. The proposed method shows drastically enhanced results visually, and improves the performance in traffic sign detection of the vision based intelligent vehicle applications.

• Korean Journal of Cognitive Science
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• v.22 no.4
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• pp.347-364
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• 2011

In this paper, we propose a automatic image bases extraction method for visual image reconstruction from brain activity using Non-negative Matrix Factorization (NMF). Image bases are basic elements to construct and present a visual image. Previous method used brain activity that evoked by predefined 361 image bases of four different sizes: $1{\times}1$, $2{\times}1$, $1{\times}2$, $2{\times}2$, and $2{\times}2$. Then the visual stimuli were reconstructed by linear combination of all the results from these image bases. While the previous method used 361 predefined image bases, the proposed method automatically extracts image bases which represent the image data efficiently. From the experiments, we found that the proposed method reconstructs the visual stimuli better than the previous method.

• The Journal of Fisheries Business Administration
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• v.40 no.3
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• pp.51-68
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• 2009

The purpose of this study is to investigate the effect of Brand Personality to Marine Tourism Destination Images and Intention to Recommend. For this purpose, factor analysis was applied to 42 of J.Aaker's Brand Personality Scale and 5 personality dimensions were extracted. This analysis was also applied for cognitive and affective images and two of cognitive images and three of affective images were extracted. Multiple regression was done to estimate the relative effects of Brand Personality to both cognitive and affective images and intention to recommend. The results indicated brand personality influenced on both cognitive and affective images and intention to recommend directly and also found affective images was influenced by cognitive images. The results also suggested useful insight for future study. The Brand Personality Scale which developed for the product by Aaker might not be suitable for measuring the marine tourism destination brand personality and necessary to develop the new scale suitable for marine tourism destination personality, and be needed to study together with other moderating variance such as satisfaction and congruency with image to verifying the exact effect between different variables.

• Journal of Korea Multimedia Society
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• v.14 no.11
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• pp.1365-1372
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• 2011

This paper proposes a cognitive contrast enhancement algorithm based on the non-linear masking to advance low cognitive contrast in dark regions of images. In order to improve brightness in dark regions of an image, we propose a new contrast enhancement algorithm based on the non-linear masking using regional adaptive parameters of an image. For performance evaluation of the proposed method, chromaticity and saturation comparison as a quantitative assessment and z-score comparison as a qualitative assessment were executed between test images and their simulated images by SSR, MSR, a conventional non-linear masking and the proposed method, respectively. As a result, the proposed method showed low chromaticity and saturation difference and improved cognitive contrast for the three methods.

• Korean Journal of Cognitive Science
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• v.7 no.4
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• pp.63-74
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• 1996

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.01a
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• pp.63-67
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• 2000

• Fashion & Textile Research Journal
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• v.16 no.6
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• pp.908-920
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• 2014

As social networking service (SNS) users' needs and wants have become more diverse, SNS is designed to provide various services and functions. As a result, an image based SNS with the purpose of sharing various interests has emerged. More and more fashion companies are using image based SNS to use it as a medium to better communicate with their customers. This study investigates the effect of usage motivation of image based SNS with the emotion of pleasure as the mediator and its impact towards flow and brand attitude. In order to verify the research model and to test the proposed hypotheses, we conducted a pilot test on 8 image based SNS heavy users, and followed through with 215 questionnaires which were collected via online survey. The results of this study are as follows. Each usage motivation of image based SNS had significant effect on each pleasure. The visual impact had a positive effect on sensory pleasure and the common interest significantly influenced on user's affective preference. Curating, simplicity and interconnecting had a positive effect on cognitive pleasure. Affective and cognitive pleasures except sensory pleasure positively impacted the user on flow. The cognitive pleasure had a positive effect on the brand attitude. Lastly, flow had a positive effect on the brand attitude. This study is the foundation of the image based SNS academically in the new media research. Furthermore, it suggests managerial implications of a company to provide effective marketing strategy to make the best use of image based SNS.