• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.11a
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• pp.38-43
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• 2000

In this present study, the correlation between subjective preference of essential odors and EEG response were investigated quantitatively. EEG signals were measured from 19 electrodes according to the International 10-20 system (Fpl, Fp2, F2/4, F7/8, Fz, C3/4, Cz, P3/4, Pz, T3/4, T5/6, Ol/2) from 8 healthy males subjects in four odor conditions. Four odor conditions (Rose oil bulgarian, Lemon oil misitano, Jasmin abs, Laverder iol france (KIMEX co. Ltd)) were applied for each subject in the experiment. Through the subjective evaluation, the most pleasant odor for each subject was determined. The power spectrum of ${\alpha}$/${\beta}$ of EEG signals from the most pleasant odor was compared with those from the control condition, which has no odor at all. It was observed that the power spectrum of ${\alpha}$/${\beta}$ of EEG from the most pleasant odor was increased significantly on F3, F3, F4,74 comparing to the control condition. This result indicates that the power spectrum of ai${\beta}$ could be a new index for measuring the levels of pleasantness of odors.

• Journal of the Korean Home Economics Association
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• v.43 no.10 s.212
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• pp.69-79
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• 2005

The purpose of this study was to determine restaurant patrons' preference differences in interior design style of restaurants according to their lifestyles. Written questionnaires were handed out to 500 adults in Seoul and surroundings and the results were sampled by convenience sampling. The questionnaire was composed of respondents' general characteristics, lifestyles, and preference for 10 types of interior design style. A total of 415 questionnaires were usable for data analysis, resulting in a response rate of $83\%$. To analyze the collected data, frequency, factor, reliability, quick clustering K- means and One-Way ANOVA analysis were conducted using SPSS 10.0. The results showed that there were preference differences in 10 types of interior design style of restaurants according to lifestyle types which were categorized into 4 groups. The conservative and self-convinced group showed the lowest preference scores in the 10 types of interior design style which are Romantic, Ethnic, Classic, High-Tech, Elegant, Country, Modem, Minimal, Natural, and Casual style. The quality life pursuing group and extroverted individuality groups showed the high preference scores in most of the styles, especially in the Classic and Elegant styles. The realistic self-centered group showed the highest preference scores in Casual style among the 4 groups. These study findings indicate that restaurants should take into account their patrons' lifestyles as a mean of market segmentation, and respond to their taste and preference when they have established suitable servicescape.

• Korean Institute of Interior Design Journal
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• no.16
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• pp.10-15
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• 1998

The purpose of this study is to analyze the objective preference and satisfaction for the current basic educational environment as well as to suggest the solution by reducing the distance between color theory and the actual situation. The data collected in this study are 195 nursery school teachers and parents from six nursery school with similar color environment. Semantic differential developed by Osgood(1957) as analytic method is applied to analyze the psychological meaning for the color preference among them. The results of this study are as follows; First the nursery school teachers and parents are satisfied with the light tone color palette. Second the nursery school teachers and parents agree with consistent response for the middle tone color palette. Finally the nursery school teachers and parents show different inconsistent response for the vivid strong color palette.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.2
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• pp.114-126
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• 2009

In this paper, a versatile multi-criteria optimization concept for fatigue life prediction is introduced. Multi-criteria decision making in engineering design refers to obtaining a preferred optimal solution in the context of conflicting design objectives. Compromise decision support problems are used to model engineering decisions involving multiple trade-offs. These methods typically rely on a summation of weighted attributes to accomplish trade-offs among competing objectives. This paper gives an interpretation of the decision parameters as governing both the relative importance of the attributes and the degree of compensation between them. The approach utilizes a response surface model, the compromise decision support problem, which is a multi-objective formulation based on goal programming. Examples illustrate the concepts and demonstrate their applicability.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.400-409
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• 2003

Collaborative filtering (CF) recommendation is a knowledge sharing technology for distribution of opinions and facilitating contacts in network society between people with similar interests. The main concerns of the CF algorithm are about prediction accuracy, speed of response time, problem of data sparsity, and scalability. In general, the efforts of improving prediction algorithms and lessening response time are decoupled. We propose a three-step CF recommendation model which is composed of profiling, inferring, and predicting steps while considering prediction accuracy and computing speed simultaneously. This model combines a CF algorithm with two machine learning processes, SOM (Self-Organizing Map) and CBR (Case Based Reasoning) by changing an unsupervised clustering problem into a supervised user preference reasoning problem, which is a novel approach for the CF recommendation field. This paper demonstrates the utility of the CF recommendation based on SOM cluster-indexing CBR with validation against control algorithms through an open dataset of user preference.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.181-194
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• 2012

The one of the most meaningful change in the recent ubiquitous environment is the omnipresence of public digital display device for providing ubiquitous information. It is the important issue to provide publicity as well as adaptive information to each user in the field of the public digital display device. This research proposes the idea ensuring fast response speed by the selection of user preference function. The preference function is selected by statistics using Zipf distribution in the system comprising mobile device and digital display device based on NFC (Near Field Communication). The idea is proved by CPM-GOMS model and the improvement of user response can be achieved.

• Science of Emotion and Sensibility
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• v.11 no.1
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• pp.91-104
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• 2008

This study searches for an abstract aesthetic dimension that has an important response to preference by finding products excluded in past studies on aesthetics. Furthermore, the adjective image languages are examined, grouped and examined in order to also take into account the dimensions that are regarded as important for the selected product. Based on this, the preference trends will be inferred and the level of aesthetic dimensions that are import in the product will be found and presented based on its preference to create an accurate objective point. Based on the values of the levels of the aesthetic preference types and aesthetic elements found by this and presenting the preferred types in the design process, the objective of this study is to create designs with small chance of failure. In addition, it attempts to present a new direction for research of aesthetic dimensions.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.2
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• pp.55-70
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• 2014

The purpose of this study was to investigate purchasing behaviors of summer clothes using cooling textiles and clothing design preference in summer season. The subjects were 623 married women aged from 30s to 60s. The research method was a survey and the measuring instruments consisted of purchasing behaviors of summer clothes using cooling textiles, clothing design preference in summer season, and subjects' demographics attributions. The data were analyzed by frequency analysis, multiple response analysis, cross tabs analysis, and $x^2$ test, using SPSS statistical program. The results were as follows. First, important clothing selection criteria were design, price, and textiles. The main items using cooling textiles that female consumers purchased were T-shirts, pants, and outdoor & sportswear. Main information sources of summer clothes using cooling textiles were internet and store display, and purchasing places were fashion outlet, internet, brand store, and department store. Second, female consumers most preferred comfortable and casual style. They mainly preferred white and blue color, pastel and pale tone, plain pattern, and cotton and functional materials in summer season. Third, there were many important differences among 4 age groups on purchasing behaviors of summer clothes using cooling textiles and design preference in summer season.

• Journal of Fashion Business
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• v.5 no.4
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• pp.73-88
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• 2001

The purpose of this study was to analyze the consumers' acceptance of the new changes in fashion trend and to project the future possibility of them based on the result of the analysis. It was identified in the review of fashion trend that the major change in the recent fashion trend was the turning of focus from 'Minimalism-influenced' to 'Maximalism-influenced'. Total 176 of Korean women, who preferred 'Minimalism-influenced' or 'Maximalism-influenced' style, were sampled and asked to response on a self-report questionnaire with stimuli developed for this study. According to the respondents’ acceptance and preference of either one of the two streams, each respondent was allocated to one of the two groups which were named as 'Minimal-preference group' or 'Maximal-preference group'. The reasons of their preference, traits in trend-related attitude and demographic variables of both groups were analyzed and compared. The degree of clothing involvement and fashion leadership of Maximal-preference group, who accepted the new trend, were found to be significantly higher than those of Minimal-preference group. Maximal-preference group had significantly higher level of income and expenditure on fashion than Minimal-preference group. The motives and reasons for their acceptance of each stream were also analyzed.

• The Journal of Fisheries Business Administration
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• v.40 no.3
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• pp.147-167
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• 2009

The objective of this study is to analyze the determinants of at-home laver consumption expenditures using the data from a survey of households implemented in 2009. It happened that non-response ratios of monthly expenditures on dry laver and flavored laver among sampled households are 18.8% and 25.6%. Accordingly, this study tries to analyze the determinants affecting at-home laver consumption expenditures by using type II tobit model, one of sample selection models, to deal with sample selection bias caused from non-response data. Analysis results show the age variable positively affects expenditures on dry laver but negatively contributes to expenditures on flavored laver. In addition, the household size, the household's income, the degree of preference for laver have positive relationships with both expenditures. Household size elasticity and income elasticity of the expenditure on dry laver are estimated as 0.220 and 0.251. In the case of flavored laver, these elasticities are estimated as 0.484 and 0.261. Such analysis results can provide information on division of the at-home laver consumption market into groups with high willingness to expense and implementation of detailed marketing strategies to increase at-home laver consumption. The methodology of this study can be applied to consumer preference analysis on other marine products and other analyses on sample with non-response data in the fishery research.