• 제목/요약/키워드: PREFERENCE FACTOR APPROACH

검색결과 51건 처리시간 0.021초

실내공간에서의 시각적 선호도 예측에 관한 연구 (A study on the visual preference prediction of interiors)

  • 노정실;김유일
    • 한국조경학회지
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    • 제26권2호
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    • pp.269-282
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    • 1998
  • The visual preference of interiors focusing on lobbies was investigated as a function of six predictor variable on the base of the Informational Approach: complexity, coherence, mystery, spaciousness, brightness, plant. The Common Fcator Analysis of preference ratings yielded six common factors which helped to account for 22.3 percent of the variance in preference response to the scene. Among these factors, the factor defined as 'bright with many plants' was the most preferred and the factor defined as 'simple and closed' was the least preferred. The environmental attributes reflected in six groups of scenes were colour, resting place, window and the six predictors. In the commercial building scenes, complexity, spaciousness, coherence, brightness and mystery out of six predictors accounted for 74 percent of preference variance as the significant contributors. In the business building scenes, three predictors which are brightness, complexity, spaciousness accounted for 84 percent of preference variance. 'The amount of plant' not only influenced the preference indirectly through the intervening variable, complexity, but also was moderately correlated with brightness. The overall pattern of the resulted confirmed the usefulness of the Informational Approach to predict the preference in interiors focusing on lobbies.

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A Study on the Interrelationship between the Prediction Error and the Rating's Pattern in Collaborative Filtering

  • Lee, Seok-Jun;Kim, Sun-Ok;Lee, Hee-Choon
    • Journal of the Korean Data and Information Science Society
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    • 제18권3호
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    • pp.659-668
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    • 2007
  • Collaborative filtering approach for recommender systems are now widely applied in e-commerce to assist customers to find their needs from many that are frequently available. this approach makes recommendations for users based on the opinions to similar users in the system. But this approach is opened to users who present their preference to items or acquire the preference information form other users, noise in the system makes significant problem for accurate recommendation. In this paper, we analyze the relationship between the standard deviation of preference ratings for each user and the estimated ratings of them. The result shows that the possibility of the pre-filtering condition which detecting the factor of bad effect on the prediction of user's preference. It is expected that using this result will reduce the possibility of bad effect on recommender systems.

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마라톤대회 참가자의 참가 동기와 선호유형에 대한 Q방법론적 접근 (A Q Methodological Approach to Motive and Preference for Marathon Enthusiasts)

  • 유영설
    • 한국융합학회논문지
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    • 제12권2호
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    • pp.103-112
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    • 2021
  • 본 연구는 마라톤대회 참가자의 대회 참가 동기와 선호유형을 탐색하는 데 목적이 있다. 이를 위해 인간의 주관적 태도나 가치를 탐색하는데 유용한 Q방법론을 활용하였다. 분석결과 총 4개의 유형을 발견하였다. 제1유형은 국내 메이저급 대회에 참가하여 축제 분위기를 즐기는 것에 두드러진 의미를 두어 메이저 대회 참가 선호형으로 정의하였고, 제2유형은 마라톤대회에 참가하여 마라톤도 즐기고 선행의 뜻을 전할 수 있는 것에 두드러진 의미를 두어 의미형 대회참가 선호형으로 정의하였으며, 제3유형은 마라톤도 즐기고 유명 관광지를 방문하는 것에 두드러진 의미를 두어 관광형 대회 참가 선호형으로 정의하였다. 끝으로, 제4유형은 개인의 기록을 경신하는 것에 두드러진 의미를 두어 기록형 대회 참가 선호형으로 정의하였다. 이러한 결과는 스포츠이벤트의 성공적인 개최를 위한 기초자료를 제공할 것으로 기대한다.

도시공원에서 벤치의 시각적 만족도에 영향을 미치는 요인 (Factors Affecting Visual Satisfaction of Benches at Urban Park)

  • 유상완;권상준;정정섭
    • 한국조경학회지
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    • 제28권3호
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    • pp.88-96
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    • 2000
  • The objective of this study is to evaluate the preference and visual characteristic of users according to the location of benches at urban community parks. The types of benches are separated into four patterns and located in four representative places at urban community parks. Each relations between visual preference and adjective related factors are calibrated by the estimated results of Pearson correlation coefficient. Moreover, the factors which affect the visual preference are obtained by multiple regression analysis and to calibrate the each factors significant level, the method of multivariate variance analysis is applied. The results of this study are summzrized as belows: 1. Four types of factors which consist the visual characteristic are classified as emotional factor of visual images(aesthetic factor(F1), texture related factor(F2)) and physical factor(physical factor(F3), transformable factor(F4)). Each factor's eigenvalue is appears as 5.27∼1.78 and the eigenvalue of emotional factor of visual images is more higher than the physical factor. 2. The correlation coefficient between visual preference according to the location of benches(X21) and aesthetic factor(f1) is estimated as 0.79, which is highest value among the four factors. And the correlation coefficient of texture related factor(f2), physical factor(F3) and transformable factor(F4) is estimated as 0.14, 0.04 and 0.08 respectively. 3. The visual preference of users according to the location of benches is greatly affected by the emotional factor of visual images(F1, F2) and the physical factor(F3, F4) are poorly related. The results of this study suggest the effective guidelines for the location of leisure facilities. Moreover the design and planning of leisure facilities at the urban community park have to be reexamined. What must be examined from now on is as follows: First, the preference research of rest facilities in the urban park through the multiple approach must be carried out continuously. Second, the research about the visual quality of the environmental sight observed in sitting on the bench as well as the visual quality of the showed object and place needs to be supported. Nevertheless, through this study the utilization into the useful data of the plan and the design for the systematic disposition of landscape architecture equipments centered on the users can be expected.

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A Combinatorial Optimization for Influential Factor Analysis: a Case Study of Political Preference in Korea

  • Yun, Sung Bum;Yoon, Sanghyun;Heo, Joon
    • 한국측량학회지
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    • 제35권5호
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    • pp.415-422
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    • 2017
  • Finding influential factors from given clustering result is a typical data science problem. Genetic Algorithm based method is proposed to derive influential factors and its performance is compared with two conventional methods, Classification and Regression Tree (CART) and Chi-Squared Automatic Interaction Detection (CHAID), by using Dunn's index measure. To extract the influential factors of preference towards political parties in South Korea, the vote result of $18^{th}$ presidential election and 'Demographic', 'Health and Welfare', 'Economic' and 'Business' related data were used. Based on the analysis, reverse engineering was implemented. Implementation of reverse engineering based approach for influential factor analysis can provide new set of influential variables which can present new insight towards the data mining field.

경관의 선호도 결정인자 모형 -골프장을 배경으로- (A Model on the Determinants of Visual Preference at Golf courses)

  • 서주환;이철민;맹상빈
    • 한국조경학회지
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    • 제29권1호
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    • pp.1-10
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    • 2001
  • The purpose of this thesis is to classify landscape-type of golf course, and t provide a better understanding of landscape of existing golf courses, seek a developed method for landscape, and other useful knowledge. In order to classify landscape type of the golf course, and analyze the preference for the determinants, we have selected 4 golf courses in Yongin, Kyonggi Province. The analysis in this study shows that a variable, 'familiarity' is the most potent influence of visual preference, (Sig 0.01), and it can be divided into five classes of landscape-type in golf course. More specifically, we conducted the analysis of the image of views and visual preference to bring out major factors which could decide visual preference in golf courses. The results between visual preference and physical variable are as follows; 1. It implies that a factor for a image of the view in golf course is analyzed by 4 districts from factor 1 to factor 4. An ability explaining those factors in the whole of variable quantity is 51.742%, implying factors for the image of the scene in golf courses are appeared as familiarity, changeableness, spaciousness, and naturalness. Among those factors, since familiarity(C.V.; 26.783%) and changeableness(C.V.; 112.200%) took high rank, this represents the fact that familiarity or changeableness highly affects the forming of image. 2. Defending on degree of image ability in golf course, we could classify as five types such as Type I, Type II, Type II, Type IV, and Type V. 3. As a result of calculating type of factor score, Type I had the lowest ranking in naturalness, and rather lower than others such as organization and spaciousness. The II is a top-ranked one in familiarity and naturalness, while it has the lowest ranking in spaciousness. Type III has the highest ranking in organization and preference. Type IV is the lowest-ranked one in familiarity and preference. Type IV is the lowest-ranked one is familiarity and preference. Type V has the highest ranking in spaciousness, but the lowest ranking in organization. 4. As a result of preference, Type III, Type II, Type V, Type I, and Type IV come out in order. That water-seen place type charges the highest rank shows the importance of changeable materials. 5. These factors-familiarity, organization, spaciousness and naturalness- are the major materials of the scene of view in golf courses. The possibility of how to use those for designing and making enhanced golf courses should be reinvestigated through these factors. Especially, it is acknowledged that the duction of changeableness, which is not mentioned in the study of informational approach, is much stimulating for the designing use. A further research on this theme should be made in the future, not limiting to the golf courses in Yongin.

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Factors Affecting Customer Brand Preference toward Electric Vehicle in Bangkok, Thailand

  • VONGURAI, Rawin
    • The Journal of Asian Finance, Economics and Business
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    • 제7권8호
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    • pp.383-393
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    • 2020
  • The purpose of this research is to identify factors affecting consumer's brand preference toward environment-friendly products like electric vehicles in Bangkok, Thailand. The researcher conducted the study based on a quantitative approach and adapted a nonprobability sampling as a convenience sampling method. The data were collected from 400 respondents living in Bangkok, who are 18 years old and above, with significant knowledge of electric vehicles. This study adapted the Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) to examine the model accuracy, reliability and verification influence of various variables. The results revealed that social influence has significant effect on environment concern as well as a positive effect on attitude. The initial significance of environment concern leads to a positive effect on fuel efficiency, followed by brand preference. Lastly, attitude has a significant effect on brand preference as attitude of consumers toward environment-friendly products affects the encouragement of brand preference, which largely depends on individual opinion. From an environmental concern, the researchers identified fuel efficiency and attitude having a positive and significant effect on brand preference toward environment-friendly products for electric vehicles. The authors also found that environmental concern and social influences on green purchasing behavior were significantly interrelated.

제품디자인의 감성공학 요소가 브랜드 선호도와 충성도에 미치는 영향 -스마트폰을 중심으로- (The Influence of Emotional Engineering Factors in Product Design on Brand Preference and Loyalty -Focusing on Smartphones-)

  • 이준상;박준홍
    • 한국정보통신학회논문지
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    • 제25권3호
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    • pp.412-418
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    • 2021
  • 본 연구는 스마트폰 제품디자인에서 감성공학 요소가 브랜드 선호도와 충성도에 미치는 영향을 알아보고자 한다. 감성공학 요소를 색상, 성능, 사용성, 가치, 신뢰성으로 나누고, 브랜드 선호도와 충성도의 관련성을 실증 분석하였다. 분석결과 스마트폰 제품디자인에서 감성공학 요소는 브랜드 선호도에 정적 영향을 미치며 영향력이 큰 요소는 성능, 색상 요소로 나타났다. 스마트폰 제품디자인에서 감성공학 요소는 충성도에 정적 영향을 미치며 영향력이 큰 요소는 신뢰성, 성능 요소로 나타났다. 제품디자인에서 브랜드 선호도가 높을수록 충성도에 영향을 크게 미친다. 제품디자인 감성공학 요소 중에서 영향력이 있는 요소를 파악함으로써 소비자들의 특성에 맞는 제품디자인에 관한 접근이 필요하다.

실내조경효과가 백화점 매장선호도에 미치는 영향 (The Effects of Interior Landscape on Preference of Department Store)

  • 김수연;방광자
    • 한국조경학회지
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    • 제30권3호
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    • pp.64-72
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    • 2002
  • The purpose of this paper is to examine the effects of interior landscape that influence preference at a department store in order to answer the research question; What are the effective factors of interior landscape that affect preference at a department store. After review of the effect of interior landscape, and the interior landscape at a department store, we constructed a literature framework and have formulated the hypothesis of this research. We have analyzed the data which surveyed 108 visitors about the interior landscape in a department store, using factor analysis, Pearson's correlation analysis, and the multiple linear regression method. We found that; 1) eleven variables can be selected for the effects of interior landscape at department store: accessibility, image, stay, distinction, comfort, complexity, cleanness, mystery, purification of atmosphere, noise and harmony. Among the 11 independent variables used to study the effect of interior landscape at a department store, the image and purification of atmosphere highly affect preference. 2) These 11 variables are grouped by factor analysis as effects of amenity, attractiveness and identity. 3) As a result of multiple regression analysis, independent variables influencing preference were proved statistically significant at one percent level. 4) Regarding their relative contribution of interior landscape effect at a department store, the effects of amenity was the most important and it showed a level of importance 1.4 times higher than the effect of identity, and 1.25 times higher than the effect of attractiveness. The research results suggest the need for guidelines for the creation of interior landscape at department stores. The approach and analysis method adopted by this research is highly useful for the evaluation of interior landscape criteria at a department store. It is recommended that more practical study on factors affecting user's preference be performed in the future.

Modality Conversion For Media QoS

  • Thang Truong Cong;Jung Yong Ju;Ro Yong Man
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 ICEIC The International Conference on Electronics Informations and Communications
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    • pp.395-399
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    • 2004
  • We present modality conversion as an effective means for QoS management. We show that modality conversion, in combination with content scaling, would give a wider range of adaptation to support QoS at media level. Here, we consider modality conversion with respect to resource constraint and human factor. To represent modality conversion as well as content scaling, we present the overlapped content value (OCV) model that relates the content value of different modalities with resources. The specification of user preference on modality conversion is divided into qualitative and quantitative levels. The user preference is then integrated into the OCV model so that modality conversion correctly reflects the user's wishes. For the conversion of multiple contents, an optimization problem is formulated and solved by dynamic programming. The experiments show that the proposed approach is efficient to be applied in practice.

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