• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.198-201
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• 2009

본 연구는 미생물색소로 염색한 소재의 색채감성을 평가하여 색채감성에 영향을 미치는 색채감각과 물리적 색채특성을 규명하고자 한 것이다. 미생물 Zooshikella rubidus 가 생산하는 색소를 추출하여 면, 견, 모, 나일론 직물에 염색한 소재에 대하여 20 대 대학생 남녀 40 명을 대상으로 의미미분법에 의하여 색채감성을 평가시켰다. 색채감성용어에 대한 요인분석결과, 명랑성, 품위성, 매력성, 편안성등 4 개 요인이 도출되었다. 명랑성 요인은 L*, a*, C*, 맑다, 가볍다, 부드럽다, 밝다와 정적 상관을, b*, 강하다, 깊다, 딱딱하다와 부적상관을 보였으며, 품위성 요인은 b*, 따뜻하다와 정적 상관을, a*, C*, 가볍다, 강하다와 부적 상관을 보였다. 또한 매력성 요인은 a*, C*, 맑다, 밝다와 정적 상관을 보였으며, 편안성은 b*, h, 따뜻하다와 정적 상관을, a*, C*, 강하다와 부적 상관을 보였다. 한편, 미생물색소로 염색한 소재에 대한 색채감성 평가는 성에 따른 유의한 차이가 없었으나, 선호도는 성에 따른 유의한 차이가 있었다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.1-8
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• 2009

Learning user's preference is a key issue in intelligent system such as personalized service. The study on user preference model has adapted simple user preference model, which determines a set of preferred keywords or topic, and weights to each target. In this paper, we recommend multi-perspective user preference model that factors sentiment information in the model. Based on the topicality and sentimental information processed using natural language processing techniques, it learns a user's preference. To handle timc-variant nature of user preference, user preference is calculated by session, short-term and long term. User evaluation is used to validate the effect of user preference teaming and it shows 86.52%, 86.28%, 87.22% of accuracy for topic interest, keyword interest, and keyword favorableness.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.809-818
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• 2009

Collaborative filtering approach predicts the preference of active user about specific items transacted on the e-commerce by using others' preference information. To improve the prediction accuracy through collaborative filtering approach, it must be needed to gain enough preference information of users' for predicting preference. But, a bit much information of users' preference might wrongly affect on prediction accuracy, and also too small information of users' preference might make bad effect on the prediction accuracy. This research suggests the method, which decides suitable numbers of neighbor users for applying collaborative filtering algorithm, improved by existing k nearest neighbors selection methods. The result of this research provides useful methods for improving the prediction accuracy and also refines exploratory data analysis approach for deciding appropriate numbers of nearest neighbors.

• Korean Journal of Environment and Ecology
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• v.9 no.2
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• pp.232-249
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• 1996

The purpose of this is to suggest objective basic data for the use development and conservation management of the national park through the quantitative analysis of the visual quality included in the physical environment of the Odaesan National Park, for this, spatial images structure of physical elements have been analyzed by factor analysis algorithm and degree of visual quality have been measured mainly by questionnaries. Result of this thesis can be summarized as follows. Factors covering the spatial image of the Odaesan National Park landscape have been found to be the pverall synthetic evaluation, physical, spatial, natural quality and, appeal factors such as the overall the synthetic evaluation, spatial and appeal yield high factor scores. As for the factors determining the degree of visual quality of clear of valley, peculiarity of configuration, natural of trail, harmony of suitable artificaial planting and temple.

• Science of Emotion and Sensibility
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• v.8 no.2
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• pp.117-128
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• 2005

The purpose of this study was to clarify the effects of constituent characteristics and the mechanical properties by KES-FB system on the visual texture images and preference of men's suit fabrics. Twenty different kinds of black fabrics, which were used mainly for the spring and summer men's suits, were selected and the subjective evaluation of the visual texture images was tested. Sixty experts in department of clothing and apparel industries participated in the subjective evaluation. Factor analysis showed visual texture images were classified into 4 categories : 'bulkiness', $'extensibility{\cdot}rapability'$, 'flexibility' and 'smoothness'. All of relationships were established between the mechanical properties and the visual texture images except the relation between 'flexibility' and bending properties. The significant factors affecting preference were 'smoothness', compression energy(WC), fabric count and 'flexibility', As the fabrics had higher value for 'smoothness' and 'flexibility' , and lower ones for compression energy and fabric count, they tended to be more preferred.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.57-65
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• 2006

본 연구는 유량에 의한 수면폭의 변화로 인한 하천경관의 시각적 선호도에 미치는 선호요인 파악하였다. 등간척도의 점수부가체계를 적용하여 이용자에 의한 금강경관의 시각적 선호를 평가한 후 시각적 선호와 이에 영향을 미치는 선호요인들과의 관계를 다중회귀분석방법으로 검정하였다. 수면폭 변화에 따른 금강경관의 시각적 선호요인 변수는 심미성 인자, 물리적 특성 인자, 복잡성 인자로서 3개 변수 모두 유의성이 있는 것으로 판명되었다. 모든 선호요인의 값이 증가함에 따라 시각적 선호의 값도 증가를 가져오고 그 반대의 경우도 마찬가지였다.다중회귀모형에서 다른 조건이 불변일 경우, 심미성 인자의 값이 증가할 때 전체적인 시각적 선호에 가장 크게 영향을 미치고, 다음으로 물리적 특성 인자가 두 번째로 영향을 미치는 것으로 판명되었다. 선호요인이 시각적 선호에 기여하는 상대적 중요도는 심미성 인자, 물리적 특성 인자, 복잡성 인자 순으로 나타났다. 심미성 인자는 복잡성 인자에 비해 3.2배 만큼 중요도가 크며 물리적 특성 인자는 복잡성 인자에 비해 3배의 중요도를 가지고 있는 것으로 나타났다. 따라서 심미성인자는 가장 중요한 선호요인으로 판명되었다. 수면폭 변화에 따른 금강경관의 시각적 평가에 의한 선호 요인 분석 결과는 하천의 수면폭 및 수량에 큰 영향을 미칠 것이다. 수위 변화로 인한 하천 경관의 선호 요인을 파악함으로서 금강 유지유량의 결정에 지침을 마련하고, 시각적 선호도에 따른 최적의 수면폭/하폭비 산정하였으며 본 연구 결과는 수량에 의한 수면폭/하폭 비의 변화로 인한 하천경관의 수량결정에 중요한 정보를 제공하고 이용자의 만족을 극대화할 수 있는 경관조성에 기여할 것으로 판단된다. 통하여 유기농업의 실현을 도모하여 소비자의 욕구에 맞는 작물 생산 및 농촌관광단지 조성을 통해 부가가치증대 및 소득증대를 꾀함으로 농촌문제 해결에 도움이 될 것으로 기대된다. 본 연구를 통해 GIS 와 RS의 기술이 농촌분야에 더 효율적으로 적용될 것으로 기대되며, 농업기술센터를 통한 정보제공을 함으로써 대농민 서비스 및 농업기관의 위상이 제고 될 것으로 기대된다.여 전자파의 공간적인 가시화를 수행할 수 있었다. 본 전자파 시뮬레이션 기법이 실무에 이용될 경우, 일반인이 전자파의 분포에 대한 전문지식을 습득할 필요 없이, 검색하고자 하는 지역과 송전선, 전철 등 각종 전자파의 발생 공간 객체를 선택하여 실생활과 관련된 전자파 정보에 예측할 수 있어, 대민 환경정보 서비스 질의 개선측면에서 획기적인 계기를 마련할 것으로 사료된다.acid$(C_{18:3})$가 대부분을 차지하였다. 야생 돌복숭아 과육 중의 지방산 조성은 포화지방산이 16.74%, 단불포화지방산 17.51% 및 다불포화지방산이 65.73%의 함유 비율을 보였는데, 이 중 다불포화지방산인 n-6계 linoleic acid$(C_{18:2})$와 n-3계 linolenic acid$(C_{18:3})$가 지질 구성 총 지방산의 대부분을 차지하는 함유 비율을 나타내었다.했다. 하강하는 약 4일간의 기상변화가 자발성 기흉 발생에 영향을 미친다고 추론할 수 있었다. 향후 본 연구에서 추론된 기상변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.4
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• pp.87-97
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• 2015

There's a trend towards vitalization of nightscape planning businesses nationally and locally as well for city image making and activation of regional economy, but there is still no systematic nightscape planning going on for lack of relevant researches and objective evaluations. This study aims to suggest the guideline for nightscape planning by conducting an eye tracking experiment and survey for recognizing the characteristics of a nightscape. Furthermore, the authors intended to verify the eye-tracking method as a tool for landscape evaluation. The research site was restricted in the campus of Virginia Tech, VA, and those were selected by experts' survey among various types of nightscape images. The variables for analyzing the characteristics of nightscape images selected were 'preference', 'safety(fear)' and 'clearness'. 'Fixation duration', 'saccade duration', 'scan path length', and 'pupil size' were selected as the eye movement measurements. The results of this study are as follows: The first outcome found was that there were significant differences among the characteristics(preference, safety and clearness) of a nightscape by MANOVA, and these variables were correlated positively by Pearson's correlation. Secondly, there were differences on fixation duration, saccade duration and scan path depending on the nightscape setting statistically. Also, the eye tracking measurement in an open setting was recorded lower than enclosed settings. In the result of a heat map, we found the meaning of the fixated areas on both viewing without intention and viewing intentionally. It turned out that the fixated areas were consistent with the areas the subjects felt preferred and clarity in all of the nightscape images, which means people usually focus on what they prefer and see clearly in a certain nightscape. Based on this result and previous studies, the authors could make a conclusion that eye tracking method can apply to evaluate nightscape settings in terms of analyzing the whole characteristics and finding specific points for the detailed analysis as well. Therefore, these results can contribute by suggesting nightscape planning, implication of the landscape evaluation, and implication of the eye tracking study.

• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.57-64
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• 2012

The purpose of this study was to compare the visual sensibility of red shirts in university students of two countries, Korea and China in order to suggest the color planning for shirts. Seven tonal red shirts' visual sensibility and preferences were evaluated by the students of Korea and from China in the sense of sight. Evaluated data were analyzed by using frequency analysis, average, factor analysis and t-test. The visual sensibility of red shirts was classified into three factors: sporty, romantic and classic. Those factors of visual sensibility showed a significant difference according to nationality and gender. The Chinese students had a more sporty feel to the strong tone, and a more classic feel to the dark tone than the Korean students. The deep tone red shirts was reputed to be more romantic by the Korean students, but the light tone and the pale tone were considered more romantic by the Chinese students. Meanwhile, the effects of nationality and gender on seven tone of preferences for red shirts was significantly differed.

• Smart Media Journal
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• v.7 no.4
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• pp.106-113
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• 2018

Brand identity (BI) is a key asset that affects consumers' psychological cognition of products and services. In the initial planning stage of the BI design development for a company, a unique approach strategy is required. In the final evaluation stage, a reasonable design evaluation method involving potential consumers needs to be prepared. However, conventional brand identity design evaluation processes tend to depend on the results of surveys, and in many cases it is impossible to be free from the distorting phenomenon of survey respondents' psychological manifestation which is often revealed in the process of the surveys. In this context, this research has explored whether the method of utilizing EEG data of the subjects along with the conventional survey method of preference could be helpful in the process of evaluating the brand identity design. To achieve that, we correlated the subject's preference survey results with the subject's EEG data. 'Attractiveness' and 'concentration' were used as variables. As a result, it was found that there was a high correlation between the results of preference survey on 'attractiveness' and the results of 'EEG' on 'concentration'. Therefore, in addition to the existing conventional qualitative evaluation methods, we confirmed that design evaluation methods using EEG are useful for evaluating tacit knowledge objects such as the BI design.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.3
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• pp.306-310
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• 2008

Since the preference for information recommendation service can change according to the context, we should know the user context before providing information recommendation. This paper proposes recommender system that considers multi-user preference in mobile environment and attempted to apply it to restaurant recommendation. To model the preference of individual users in mobile environment, we have used Bayesian network, and restaurant recommendation mostly should consider not an individual user but several users, so this paper has used AHP of multi-criteria decision making process to obtain the preference of several users based on one of individual users. For experiments, we conducted recommendation in 10 different situations, and finally, we confirmed that the proposed system was evaluated as a good one using a usability test of SUS.