• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.541-550
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• 2003

It is important for the strategy of product sales to investigate the consumer's sensitivity and preference degree in the environment that the process of material development has been changed focusing on the consumer renter. In the present study, we propose the Fashion Design Recommender System (FDRS) of textile design applying collaborative filtering personalization technique as one of methods in the material development centered on consumer's sensibility and preferences. In collaborative filtering personalization technique based on textile, Pearson Correlation Coefficient is used to calculate similarity weights between users. We build the database founded on the sensibility adjective to develop textile designs by extracting the representative sensibility adjective from users' sensibility and preferences about textile designs. FDRS recommends textile designs to a consumer who has a similar propensity about textile. Ultimately, this paper sugeests empirical applications to verify the adequacy and the validity on this system with the development of Fashion Design Recommender System (FDRS)

• Smart Media Journal
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• v.5 no.1
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• pp.61-68
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• 2016

According to increasing SNS users and developing smart devices like smart phone and tablet PC recently, many techniques to classify user emotions with social network information are researching briskly. The use emotion classification stands for distinguishing its emotion with text and images listed on his/her SNS. This paper suggests a method to classify user emotions through sampling a value of a representative figure on a trigonometrical function, a representative adjective on text, and a canny algorithm on images. The sampling representative adjective on text is selected as one of high frequency in the samplings and measured values of positive-negative by SentiWordNet. Figures sampled on images are selected as the representative in figures; triangle, quadrangle, and circle as well as classified user emotions by measuring pleasure-unpleased values as a type of figures and inclines. Finally, this is re-defined as x-y graph that represents pleasure-unpleased and positive-negative values with wheel of emotions by Plutchik. Also, we are anticipating for applying user-customized service through classifying user emotions on wheel of emotions by Plutchik that is redefined the representative adjectives and figures.

• Journal of Korea Multimedia Society
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• v.9 no.9
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• pp.1208-1221
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• 2006

In this paper, we implement an AAC(Augmentative and Alternative Communication) system based on image dictionary in order that speech defectives can easily communicate their opinion to others by using images. Normally, those who have a speech defect use only a few limited words to express their intentions and it is an effective way to use images in their communication because they have a difficulty in speaking. Therefore we make verbal images of verb and adjective that play an important role in expressing the speaker's intention, define pattern of semantic relation between the verbal images and noun images, and construct the image dictionary. In this AAC system, when a user clicks a verbal image, the system generates a sentence by selecting noun images which are component parts of corresponding pattern based on semantic relation with the verbal image. We evaluate the implemented system by how efficiently children of speech defect can express their intention and the result shows more than 70% of success rate in communication.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.364-374
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• 2021

In a fiercely competitive market, brands have become an important foundation for people to choose their products, and brands are also symbols of people's status and strength. Therefore, the importance of brand image design is growing. And color is an expression of emotion and can improve the communication and marketing environment of brand image as an important element of brand image. In this study, Interbrand selected Korea-China TOP 50 brand as a survey target in 2019 and downloaded brand CI from each brand's homepage to data images through Adobe Photoshop program and HSB system, and analyzed the color of the brand. There is no big difference in analyzing the color characteristics of Korean and Chinese brands, and the I.R.I color image scale analysis shows that the overall design of Korean brands is vibrant, elegant and warm to consumers. On the other hand, the overall design of the Chinese brand offers consumers a solemn, modern and sophisticated emotional adjective. Based on the results, this study can provide practical implications for companies to select colors and forms when launching their own brands and developing products.

• Journal of Science Education
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• v.48 no.1
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• pp.63-73
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• 2024

Knowing the learner's image of a subject-related occupation is good data for determining the direction of a teacher's teaching and learning. Existing drawing image analysis tools have the limitation that it takes a long time to analyze images and drawings of a scientist's appearance. The semantic differential method is a widely used method to analyze images of specific objects. However, research using the semantic differential method has the limitation of failing to reflect terms or factors that change over time by using the adjective pairs used in the initial study as they were in accordance with the research content. In this study, we use the semantic differential method to develop a tool to measure middle school students' scientist image and apply it to middle school students to discuss educational implications regarding the usefulness of measuring scientist image.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.4
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• pp.69-84
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• 2020

Up to date, the majority research on the major landscape elements in organic farming has been mainly focused on the practice of seeking efficiency. The problem is that this type of study contributes to polluting the agricultural environment and damaging the ecological circulation system. As an alternative, there is a growing body of research on organic farming, but it is not widely applied that research on how to manage the landscape considering the scenic characteristics of farming villages practicing organic farming. Hence, in this paper we utilized landscape adjectives as a way to enhance the objectivity of the organic agricultural complex landscape assessment. More specifically, not only this study used a landscape image of an organic agricultural complex to identify a landscape adjective suitable for the landscape elements but also this study confirmed the suitability of landscape adjectives comparing to the opinions of experts and the public. To carry out, this study performed the experts survey which is composed of 12 major landscape elements, including rice paddies and fields, monoculture and diverse crops, dirt roads, windbreak trees, accent planting, dum-bung(small pond), natural small river, natural waterways, plastic film houses, one-storied houses, and pavilion. As a result of deriving the landscape adjectives from the main landscape elements, there were nine landscape adjectives that were consistent with experts and the public, including "clear" and "Artless" for rice paddies and fields, while the mismatched landscape adjectives were 'traditional'. The accent planting was a combination of landscape adjectives such as 'natural' and 'clear', while the windbreak trees was a consensus of all landscape adjectives. Only two adjectives, 'friendly' and 'wild', agreed on the dirt load, nine dum-bung(small pond), ten natural small river, nine duckery, eight one-storied houses, 10 pavilion, eight monoculture and diverse crops, and three natural waterways. The most common landscape adjectives were windbreak trees, pavilions, and natural small river, all 10 landscape adjectives. However, it is considered that only three of the 10 landscape types on the dirt road and the natural number are matched. Thus, additional management measures will be needed. In addition, it was analyzed that the most common landscape adjectives were "Artless" and "friendly" 13 times. The landscape adjectives of the organic farming complex responded by experts were analyzed to be suitable for natural, clear, zingy, silent, traditional, artless, friendly, wild and Leisurely, and consistent with the general public's opinion.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.20 no.1
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• pp.97-115
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• 2017

The purpose of this study is to evaluate the preference and image on landscape of before and after the restoration in the four study areas where the restoration project of Baekdudaegan ecological ridgeline was carried out and to explore the change factors of image preference according to restoration project. The study areas were Beoljae, Ihwaryeong, Bijoryeong, and Yuksimnyeong and 248 questionnaires were used for analysis. As a result of the recognition analysis on restoration project of ecological ridgeline, the awareness of the project was low at 2.63, the satisfaction of the project was 3.42, and necessity of the project was 4.07. In terms of the preference analysis for landscape photographs, the all preferences of four sites were improved after the project than before. In the result of the landscape image evaluation, images such as 'lifeless', 'uniform' and 'ugly' were high before the project, however, images such as 'clean', 'tidy', and 'stable' were high after the project. As a result of analyzing the change factors of image preference according to the restoration project, adjectives such as 'beautiful-ugly' and 'open-closed' influenced the preference change in common. These findings can be utilized as the base data for the planning direction for the construction of new ecological ridgeline or the landscape conservation of existing ecological ridgeline.

• The Research Journal of the Costume Culture
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• v.15 no.2 s.67
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• pp.193-202
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• 2007

The purpose of this study was to find out effects of textile motifs and the application methods on wearer's image perception. A survey was conducted to total of 255 male and female university students who are residing in Daejeon and Chungnam province. The stimuli were composed of 2 level tones(dark and light), 3 level complexity(simple, medial and complex), 3 patterns(polka dot, stripe and check) and the 2 way of stimuli application methods(fabric and garment). The instrument for measuring preference of stimuli consisted of 4 items, encouraging, preference, purchasing and popularity. The instrument for measuring image of stimuli consisted 24 pair items. Factor analysis for the adjective pair images(24 inquiries) about the textile patterns which were used in this study was performed. It resulted as three factors which are attraction, salience, and potential. Attraction, salience, and potency dimensions showed the most significant interaction effects of application methods and patterns. And tone and application method effected attraction and salience, tones and patterns effected attraction, tones and complex effected salience. Application methods and patterns effected potential and patterns and complex effected salience. The preferences toward stimuli, it resulted only interaction of tones and patterns affected the preferences('total preference' and 'purchasing'). Pearson's product-moment correlation analysis carried out to find out the relation of images of clothing and preferences. As a result, salience was significant relation with attraction and potency. In correlation between image of textile pattern and preference, attraction is most significant relation with the preference. The results of the study could be used for the marketing strategies of the motif in fashion product.

• Journal of Science of Art and Design
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• v.8
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• pp.185-210
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• 2005

Closely connecting Well-Being culture with our traditional eating culture. we can predict next generation Kimchi refrigerator trend with this research. In the highly developing industrial society, design has been playing the central role in the managerial strategy of a company and has been one of the central agendas in determining the economical competence of a country, and has also been regarded as a means to acquire sustainable superior competence. Thus, these trends suggest that the aesthetic value of product has become more important than its technological function. In this study we reviewed theoretically esthetic factors influencing the preference and the evaluation of a product and made a list of eight esthetic factors based on various referential studies which include simplicity, balance, unity, rhythm, style, novelty, typicality, and proportion. Also on the point of view of design, it is necessary to find out definitely the consumer preference frame the relationship among design preference design image design attribute. Will give you guidelines on which designers can select and design some more objective and reliable design factors, finding out the relation of cause and effect by which they can know what kind of product designs their consumers like and how the popular image which that product offer is composed of. We investigated the esthetic factors affecting consumers preferences and the basis for evaluating a product. Aimed at providing materials for developing product design by presenting an ,esthetic guideline product design by presenting an esthetic guideline and to put these materials to practical use. Investigated other considered elements classified by manufactures and importance of esthetic factors and its influence on consumer tastes . All of these result, It could not conclude all of the adjective design image and design factors of every consumer, but through consumer reaction framework consumer are response and prefer the products which design image have. and then understand prefered design image are influenced to design factor's and could be apply to new design development.

• Journal of the Korean housing association
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• v.10 no.2
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• pp.247-257
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• 1999

This study is aimed to propose the evaluation model of forecasting visual quality of apartment buildings, which would be a useful tool to make the architectural concepts corresponding to user needs. This study was carried out through the four-step experiments as follows. The first step is to take the user's visual evaluation construct. To do this, the 22 adjective phrases were extracted, which were applicable to all apartment buildings. The second step is to analyze the user's visual preference, which is measured by the user's psychological quantity on the apartment buildings by S. D.(Semantic Differential) Method. The third step is to analyzethe five psychological-factors obtained from the Factor Analysis. The perceptual images on the 41 experimental subjects were checked up through evaluating and analyzing the factor scores of each subjects for each psychological-factor. The fourth step is to analyze, the similarity of various characters in a building, which is mirrored on the user's psychological quantity and how buildings are grouped by it.