• Culinary science and hospitality research
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• v.23 no.6
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• pp.99-109
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• 2017

This study aims to investigate the impacts of marketing motive (public- vs. firm-interest) and ad appeal (soft- vs. hard-sell) types on consumers' ad attitudes and behavioral intention in hotels' green advertising. From 711 US respondents, a multivariate analysis of covariance (MANCOVA) was employed to test main effects of marketing motive and ad appeal types on ad recipients' affective and cognitive ad attitudes, while controlling their environmental consciousness. Further, the study conducted a multiple regressions analysis to examine the influence of ad attitudes on respondents' intention to visit the hotel. The study found that a public-serving claim can yield more positive affective ad attitude than a firm-interested claim, regardless of ad image type (soft- or hard-sell image). The result also revealed that a soft-sell ad image can elicit more positive affective ad attitude than a hard-sell one. On the other hand, the study showed that consumers' affective and cognitive ad attitudes are significant predictors of behavioral intention (i.e., visit intention). The study provided theoretical and managerial implications for hospitality researchers and hotel marketers to effectively design hotels' green advertising to ultimately increase consumers' visit intention.

• Korean Journal of Cognitive Science
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• v.11 no.2
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• pp.53-58
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• 2000

This paper reconstructs local region of a facial expression image from extracted feature points of facial expression image using FCM(Fuzzy C-Meang) clustering algorithm with Gabor wavelets. The feature extraction in a face is two steps. In the first step, we accomplish the edge extraction of main components of face using average value of 2-D Gabor wavelets coefficient histogram of image and in the next step, extract final feature points from the extracted edge information using FCM clustering algorithm. This study presents that the principal components of facial expression images can be reconstructed with only a few feature points extracted from FCM clustering algorithm. It can also be applied to objects recognition as well as facial expressions recognition.

• Korean Journal of Cognitive Science
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• v.21 no.1
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• pp.145-156
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• 2010

This paper presents a new contents-based digital still image protection method which includes a copyright message. Since the existing method using gradient values used a pixel based $3{\times}3$ Sobel operator, it was sensitive to attacks and could not extract exact copyright message. Therefore, in this paper, we present a algorithm which uses block based OCL(Orientation Certainty Level) instead of pixel. The experimental results show that the proposed scheme not only has good image quality, but also is robust to JPEG lossy compression, filtering, sharpening, blurring and noise. Moreover, the proposed algorithm has good performance more than 10% in rotation attacks than the existing method.

• Journal of the Korean housing association
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• v.12 no.4
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• pp.153-161
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• 2001

This paper is to clarify a cognitive structure of green environment in the traditional urban residential areas. The following is the result of analysis; 1) According to the survey of created actual condition of the green environment, the main space was consisted of court(74%). The percentage of preference locations for green environment at the court and the alley are 71, 60 respectively. The main reason to creat green environment resulted admiration and enjoyment. 2) The degree of $\ulcorner$agreeableness$\lrcorner$ and $\ulcorner$nobleness$\lrcorner$ of the house were increased by creating green environment in a house, and the degree of $\ulcorner$neighborhood$\lrcorner$ and $\ulcorner$familarity$\lrcorner$ were increased by creating green environment out side of house. 3) According to the analysis of a correlation between the degree of satisfaction and the image, $\ulcorner$agreeableness$\lrcorner$ has an interrelation with all factors of image. Therefore, the creating of $\ulcorner$agreeableness$\lrcorner$ is a main problem for raising the whole image of the residential areas.

• The Research Journal of the Costume Culture
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• v.15 no.1 s.66
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• pp.179-192
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• 2007

The purpose of this study was to investigate the relationship among fashion retail-entertainment, store image and store loyalty. Two hundred eleven who female college students living near Seoul area participated in this study. Two hundred sample used for data analysis. For data analysis, frequency, factor analysis, correlation analysis and multiple regression analysis were used. The results were as follows: First, fashion retail-entertainment had 4 factors such as shopping environment, sales service, dining facilities, and others. Store image composed of psychological image, merchandise mix, customer service, and advertising exposure. Store loyalty had 3 factors; cognitive loyalty, intentional loyalty, emotional loyalty. Second, retail-entertainment factors had positive influences on store image and store loyalty. Third, store image had positively affected on store loyalty. Based on these results, successful strategies for fashion retail-entertainment business would provide.

• KIEAE Journal
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• v.8 no.2
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• pp.11-21
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• 2008

The purpose of this study is to interpret the visual and auditory images and cognitive characteristics about townscapes in Namwon city. It was acquired the survey results about 8 types of verbal interviews and 2 kinds of sketch maps which are based on urban images from 102 Namwon residents. They held in a variety of images of Namwon in their minds such as Jiri mountain, clean environment, sightseeing, special products, urban/building structures, Korean classical music, historical novel, local sports, and emotional images. The nice streets or places which the residents recommended are the places which have abundant natural areas, psychological peace and rest, available space for physical activity, places for performances and events, and regional attractions. The streets or places which they didn't like are decadent places, and areas of crowded traffic. The transition times of visual and auditory scene can be classified with the Saemaul movement in the 1970's(the rural new community movement) and the improvement of the city in the 1990's. The elements of visual images in Namwon city on the basis of the cognitive maps were expressed such elements as paths, districts, nodes, edges, and landmarks. The elements of auditory images, which are on the basis of the concept of the soundscape, included sounds of narrative musical form unique to Korea; p'ansori, sounds of traditional markets, and sounds of nature. It was found that the imageability of visual and auditory images is relatively clear in specific areas in Namwon city.

• Human Ecology Research
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• v.62 no.2
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• pp.369-383
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• 2024

The aim of this study was to develop and implement a program based on Cognitive Behavior Therapy (CBT) for female college students experiencing body dissatisfaction. To systematize the program development process, we adopted the service design method. First, we conducted In-Depth Interviews (IDIs) to identify the difficulties faced by six female college students who experience body dissatisfaction, and to determine what kind of help they needed. Second, content analysis of the findings revealed that female college students were experiencing emotional-behavior problems which derived from the discrepancy between their ideal body image and the reality. Third, a prototype of a cognitive reconstruction program was developed to help transform their perceived 'body distortion' to a rational cognitive concept and thus reduce maladaptive consequences of 'body dissatisfaction'. The overall program consisted of three therapeutic components and seven steps. Fourth, to assess the effectiveness of the program, survey and IDIs were conducted. The results revealed that it is appropriate to use a cognitive model to solve problems caused by body dissatisfaction, and that understanding and reconstructing one's own cognitive processes can be effective in reducing body dissatisfaction. However, based on feedback from participants, a number of revisions were proposed, such as including sufficient induction regarding the behavioral change.

• Science of Emotion and Sensibility
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• v.17 no.4
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• pp.41-50
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• 2014

This study examined the characteristics of brain's reaction pattern concerning the preference for product images and compared them with the result of subjects' intuitive evaluation of their preference for the same materials. Two tests were conducted; the first one that calculated comfort properties based on brainwave measurements in order to examine the impression given by the images of products presented separately, one-by-one, and the second one that had subjects evaluate the preference directly by comparing the images of all products simultaneously. The first test was titled 'Independent Cognitive Response' and the second test, 'Relative Cognitive Response', and their characteristics were as follows. In the 'Independent Cognitive Response', the state of emotion was expressed in absolute values based on the comparison with the information accumulated through the subject's own experience and the feeling expressed as 'pleasant' or 'unpleasant' persisted as absolute values. In the 'Relative Cognitive Response', the state of emotion relative to the information of other images compared in the stage of perceiving the images was expressed, and in this case, the state of emotion described as 'calm' or 'excited' acted as relative values.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.986-997
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• 2011

The purpose of this study is to verify the cognitive theory of Multimedia learning in a Smart Pad environment. Specifically, the viability of the multimedia principle and individual difference principle was tested for this study. To accomplish this, participants were divided into two groups based on their prior knowledge level (high/low), and members of each group were given one of two Smart Pad based programs, one text-based and the other text and image based. Results indicate that the use of images and the interaction between image use and prior knowledge did not have a significant effect on cognitive load levels. However, there were significant effects on learning achievement. This study implies that when developing Smart Pad based learning content, the small screen size compared to PC monitors, types and functions of images, and learning objectives should be considered.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.9
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• pp.901-908
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• 2013

The introduction of industrial intelligent robot using vision sensor has been interested in automated factory. 2D and 3D vision sensors have used to recognize object and to estimate object pose, which is for packaging parts onto a complete whole. But it is not trivial task due to illumination and various types of objects. Object image has distorted due to illumination that has caused low reliability in recognition. In this paper, recognition method of complex shape object has been proposed. An accurate object region has detected from combined binary image, which has achieved using DoG filter and local adaptive binarization. The object has recognized using neural network, which is trained with sub-divided object class according to object type and rotation angle. Predefined shape model of object and maximal slope have used to estimate the pose of object. The performance has evaluated on ETRI database and recognition rate of 96% has obtained.