• Journal of Information Processing Systems
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• v.15 no.3
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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.

• Journal of the Korean Institute of Landscape Architecture
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• v.30 no.2
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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.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.4
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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.

• Korean Management Science Review
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• v.28 no.1
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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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• v.8 no.3
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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.

• Proceedings of the Technology Innovation Conference
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• 2006.02a
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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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• v.14 no.2
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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.

• Journal of the Korean Society of Costume
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• v.56 no.5 s.104
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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.

• The Korean Journal of Elementary Counseling
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• v.11 no.2
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• pp.153-169
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• 2012

The purpose of this study is to investigate the most rational method of grouping peers to understand the impact of peer relationship on individual development of elementary school students. For the study, students at a class of the 3rd year(male) and a class of the 4th(female) year at elementary schools in Busan and Ulsan were surveyed to see the differences between various methods of classification of peer relation subgroup on the basis of cooccurence of perception data and psychological preference data. Two questionnaires were used; a questionnaire of perception and a questionnaire of psychological preference. With the perception data, value of sharing relationship was applied to classify peer relation subgroup and with the psychological preference data, interest relationship was expanded to classify peer relation subgroup of more than third party relationship. The result of this study showed that in the case of girls, there was high congruency between the classifications of peer relation subgroup by perception data and by preference data, whereas in the case of boys, there was difference between the classifications of peer relation subgroup by perception data and by preference data, which implies that boys can form a peer group even if there is psychological difference among members but girls can form a peer group only when there is psychological preference among them. Such a result shows that there is difference between boys and girls in the process of forming peer relationship. It is suggested that comparison of fitness be made between classification of peer relation subgroup by a homeroom teacher, by perception data and by psychological preference for rational classification of peer relationship among male children.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.4 s.152
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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.