• Journal of Information Processing Systems
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• 제15권3호
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• pp.645-654
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• 2019

The purpose of this study was to collect and analyze personal bio data and social network services (SNS) data, derive user preference and user life pattern, and propose intuitive and precise user modeling. This study not only tried to conduct eye tracking experiments using various smart devices to be the ground of the recommendation system considering the attribute of smart devices, but also derived classification preference by analyzing eye tracking data of collected bio data and SNS data. In addition, this study intended to combine and analyze preference of the common classification of the two types of data, derive final preference by each smart device, and based on user life pattern extracted from final preference and collected bio data (amount of activity, sleep), draw the similarity between users using Pearson correlation coefficient. Through derivation of preference considering the attribute of smart devices, it could be found that users would be influenced by smart devices. With user modeling using user behavior pattern, eye tracking, and user preference, this study tried to contribute to the research on the recommendation system that should precisely reflect user tendency.

• 한국조경학회지
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• 제30권2호
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• pp.1-11
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• 2002

The purpose of this study is to investigate landscape image and define elements of difference in visual preference of bridges on the Han River. To do this end, video was used as a media for the evaluation of the landscape image of 16 bridges on the Han River using a Semantic Differential scale. Data is collected by 50 students from Woosuk University, majoring landscape architecture. Final analysis utilized a total of 704 samples of data. Data is analyzed through descriptive statistics, and spatial image is analyzed by factor analysis algorithm Principle component analysis using Varimax method is applied far extraction and factor rotation. T-test is used to find the difference between the bridge type of preference with the data of factor score. Logistic regression is used to select the factors that influences the visual preference among the image factors. The results of this study can be summarized as follows; The image of whole bridges on the Han River is somewhat orderly, sequential and open. The degree of visual preference of unique bridge type is higher than normal but there are some differences in visual preference within the same type of structure. This suggests that the surrounding landscape is one of the important factor for visual preference. Factors covering the image of bridge are found to be 'aesthetic',　'structure','spatial factor', and 'shape'. Total variance is obtained as 60.4%. The aesthetic variables are the most important factor for visual preference and the structural factor presents no significant difference in visual preference between more preferred and less preferred bridges. Since the collapse of Songsu Bridge, we thought the structural factor is very important but the results of this study suggest that it is more important to consider the aesthetic and spatial factors of the bridge to increase the visual preference when planning and designing bridges. Simulations with more detailed data about surroundings should be utilized practical design.

• 한국의상디자인학회지
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• 제14권4호
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• pp.205-214
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• 2012

This study investigated whether there were statistical differences in the three categories of cosmetics brand preference- brand preference, gift brand preference, and preference for purchasing expensive cosmetics by the consumers' residence. For the data analysis, the types of cosmetics include basic and color, the cosmetics brands include domestic and imported cosmetics. The consumers' residence include metropolitan and non-metropolitan areas. The study collected the data from 477 surveys from adult women ranging from the age groups of 20s to 50s and above in 2011. Using SPSS Version 18.0 the data was analyzed by Frequency analysis, t-test. The study results were as follow: There were significant differences in the three patterns of cosmetics brand preference depending on the consumers' residence. The three patterns of preferences were in the similar trends. The results revealed while the non-metropolitan residents showed a higher level for the domestic brands, a lower level in the three categories of preferences for imported brands compared to their metropolitan counterparts in both types of basic and color. In contrast, compared to the non-metropolitan counterparts, the metropolitan residents showed a lower level of preferences in all of the three categories of cosmetics brand preference for domestic in both types of basic and color.

• 경영과학
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• 제28권1호
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• pp.61-74
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• 2011

Not only the preference data but also the similarity data can be used for developing effective marketing strategies. Hahn et al.[10] proposes a methodology of representing a brand(focal brand)'s competitors in a single map called the Preference-Similarity Map, according to their relative preference to and similarity with the focal brand. They also proposes a way to derive the relative preference and similarity values from the survey collecting the choice data from differing choice sets. This study identifies the limitations of the preference and similarity measures proposed by Hahn et al.[10] and shows how these measures can be revised. This study also proposes how to implement the revised measures and analyze brands' positioning strategies. Based on the results of the previous studies on the effect of inter brand similarity on brand evaluations, this study assumes that it is important to analyze how much a specific brand is preferred to its close competitors when evaluating the effectiveness of the brand's positioning in the market. This study applies the proposed measures to the data used in Hahn et al.[10] and also show how the proposed measures are related to the parameters of the choice model proposed by Batsell and Polking[1].

• Communications for Statistical Applications and Methods
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• 제8권3호
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• pp.651-659
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• 2001

Preference map is a widely used graphical method for the preference data set which is frequently encountered in the field of marketing research. This provides joint configuration usually in two dimensional space between "products" and their "attributes". Whereas the classical preference map adopts the ordinary least squares method in deriving map, the present article suggests the weighted least squares approach providing the better graphical display and interpretation compared to the classical one. Internet search engine data in Korea are analysed for illustration.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 2006년도 제28회 동계학술발표회 논문집
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• pp.264-297
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• 2006

In this paper, we attempt to analyze consumer preference for the alternative-fuel vehicles based on data from a stated preference using the conjoint analysis. Five possible fuel types (gasoline, diesel, CNG, LPG, Hybrid (electricity+gasoline)) are covered in conjoint cards. To estimate and analyze consumer preference, discrete choice model is used. Specifically, Bayesian mixed logit model is used. Based on estimating results, we discuss the business strategy and policy for the alternative fuel vehicle.

• Journal of the Korean Data and Information Science Society
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• 제14권2호
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• pp.237-245
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• 2003

MDS(multi-dimensional scaling) for preference data is a graphical tool which usually figures out how consumers recognize, evaluate certain products. This article is mainly concerned with an optimal scaling for MDS when target configuration is available. Rotation of axis and SUR(seemingly unrelated regression) methods are employed to get a new configuration which is obtained as close to the target as we can. Methodologies developed here are also illustrated via a real data set.

• 복식
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• 제56권5호
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• pp.118-131
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• 2006

Color is one of the most effective factor in visual aspect influencing consumer's choice. However, the color preference varies as time passes, society changes, new culture develops, that is variable in its nature. And the underlying meaning or accompanying color image differs in every area. We believe the study on the color preference is meaningful, especially on BRICs market, recently gathering attentions for their market competitiveness and growth potential. For this research, data collected from 5 countries(including Korea) by 1:1 interview during 3 weeks in Aug. 2005. Usable data from 923 adult urban residents were used for final data analysis. Color chart for research was categorized by using COS Color System into KS standard color 10grades plus 1 neutral, with 5 grades of tones. Through this empirical study, the data were analyzed by mean, ANOVA, Duncan-test of SPSS Win(ver.10.0). The result generated from this study are as follows : First, analysis through hue & tone system reveals that preference on principle colors (R, Y, G, B, P) is higher than intermediate colors and pale, light, vivid tones were preferred to dare and deep tones. Second, personal color preference is reflected in color preference in fashion items. Thus, we may conclude color preference in fashion item largely influenced by country characteristics. Third, biggest difference by country from hue analysis are neutral and PB colors. Neutral, widely preferred color in every county, more preferred in India, Russia, Brazil than China. We expect this result can be utilized as a basic material for developing BRICs market.

• 초등상담연구
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• 제11권2호
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• pp.153-169
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• 2012

초등학생의 또래관계가 발달에 미치는 영향을 알아보기 위한 방법으로 먼저, 또래관계를 어떻게 소집단 형태로 묶는(grouping) 것이 가장 합리적인 방법인가를 찾아내는 것이 연구의 목적이었다. 이에 따라 지각자료와 심리적 선호도 자료에 의한 또래관계 소집단 분류의 방법 간에는 서로 어떤 차이가 있는지를 알아보는 것이 연구문제로 설정되었다. 연구 대상은 부산과 울산의 초등학교 중학년인 3-4학년 아동 가운데 남자는 3학년, 여자는 4학년의 2학급이었다. 연구 문제를 검증하기 위한 질문지는 두 가지로 지각 자료 질문지와 심리적 선호도 질문지였다. 지각 자료는 공유인접수를 바탕으로 상관관계의 값을 적용하여 또래관계의 소집단으로 분류 되었으며, 선호도 자료는 이자관계를 확장하여 삼자관계 이상의 소집단으로 또래관계를 분류하는 방법을 적용하였다. 본 연구의 결과, 여자 아동의 경우에는 지각 자료에 의한 소집단과 선호도 자료에 의한 소집단간에 매우 유사한 분류의 일치성이 나타났지만, 남자 아동의 경우에는 두 가지 분류 방법간에 분류의 차이가 나타났다. 이러한 결과로 볼 때, 남자 아동의 경우에는 개별 아동간의 심리적 불일치에도 불구하고 또래관계를 형성할 가능성이 있지만, 여자 아동의 경우에는 심리적으로 일치될 때 또래관계가 형성되는 것으로 확인되었다. 이러한 결과는 양성간의 또래관계 형성 과정이 다를 수 있음을 시사한다. 따라서 남자 아동의 또래관계를 합리적으로 분류하기 위한 후속연구로 담임 교사에 의한 소집단 분류, 지각 자료에 의한 소집단 분류, 선호도 자료에 의한 소집단 분류의 세 가지 분류 방법 간의 적합성에 대한 비교 작업이 수행될 필요성이 있었다.

• 한국의류학회지
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• 제30권4호
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• pp.655-661
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• 2006

The purpose of this study was to investigate the make-up preference images influenced by the clothing preference images group, and importance orders among the make-up preference images. The questionnaires were given to female residents in the ages between $20{\sim}45$ in Seoul and Kyung-gi province during October 2004. 322 questionnaires were used for data analysis. The collected data were analyzed by using SPSS 10.0 software with various techniques such as ANOVA test, Duncan test and paired t-test. The results of this study as follows; 1. It was found out that the graceful, chic, and modern make-up image had significant differences. The graceful make-up preference image was preferred by the graceful clothing preference image group. The chic and modern make-up preference image were preferred by modern clothing preference image group. It was confirmed that the categories with significant differences were those with the same clothing and make-up preference image groups, which indicate people prefer unified image coordination. 2. As the results of the analysis of the difference in importance of make-up preference images, it was found out that the natural make-up preference image was the most preferred by people, and followed by the youthful make-up preference image. On the other hand, the romantic make-up preference was preferred the least. This study on relationships between clothing images and make-up images found that the costume culture is becoming more of 'total fashion' and that it would be beneficial for clothing brands to incorporate cosmetics in their business strategies and expand their businesses.