• Korean journal of food and cookery science
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• v.28 no.6
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• pp.721-729
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• 2012

This paper aimed to investigate the influence of consumer lifestyle on consumer selection of bakery cafe attributes. Data were collected through a self-administered questionnaire by 403 random consumers between the ages 20s and 30s in several bakery cafes in Seoul and Gyonggi area. Different methods of statistical analysis had been used such as frequency analysis, factor analysis, k-means clustering analysis, cross tabulation, one way ANOVA and Duncan's multiple range test with SPSS for Window 13.0 package. First, when analyzing the 16 questions of comsumer lifestyles, four factors were extracted: 'dining out-oriented factor', 'achievement-oriented factor', 'brand-oriented factor', and 'health-oriented factor'. Second, the respondents were divided into three groups by k-means cluster analysis: no interest group, dining-out & value oriented group, and health-brand oriented group. Third, consumer's bakery cafe attributes were categorized into five factors including 'food', 'convenience and image', 'store promotion', 'positive dining experience', and 'menu & merchandises'. Finally when analyzing the differences in the selection of bakery cafe attributes according to consumer's lifestyles, it showed a significant differences.

• Journal of the Korean housing association
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• v.24 no.6
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• pp.141-150
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• 2013

Hanok is Korea's traditional housing, which is build detached unit. Most of the People who live in the environment of residential high-rise apartments likes new residential environment, and pursue eco-friendly homes, health homes, especially traditional Hanok was reassure potential. In urban context, resident think more compact land use in Hanok also, because Hanok is dissatified in compact land use, and it should be build as more economic aspect. The purpose of this study is to propose a typology which traditional Hanok also can be build higher land use and traditional values as a modern housing type; First of all, clustered Hanok is formed by traditional houses and interior spaces in modern house., and its types are configured by lifestyle of modern and image element of traditional Hanok. This kinds of clustering Hanok can be seen from historical city, but the trends is a minority of the housing type and form. Now, the modern clustering Hanok, even though handful of cases, appears as sustainable housing type, its possibilities as a new housing should be more detailed researches. A elements of Modern cluster Hanok discused in layout, plan, envelopment of house, structure, roofs, and the coordination of the element can be so much diverse.

• Annual Conference of KIPS
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• 2011.04a
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• pp.230-233
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• 2011

Chronic disease is linked to patient's' lifestyle. Therefore, doctor has to monitor his/her patient over time. This may involve reviewing many reports, finding any changes, and modifying several treatments. One solution to optimize the burden is using a visualizing tool over time such as a timeline-based visualization tool where all reports and medicine are integrated in a problem centric and time-based style to enable the doctor to predict and adjust the treatment plan. This solution was proposed by Bui et. al. [2] to observe the medical history of a patient. However, there was limitation of studying the diabetes patient's history to find out what was the cause of the current development in patient's condition; moreover what would be the prediction of current implication in one of the diabetes' related factors (such as fat, cholesterol, or potassium). In this paper, we propose a Grid-based Interactive Diabetes System (GIDS) to support bioinformatics analysis application for diabetes diseases. GIDS used an agglomerative clustering algorithm as clustering correlation algorithm as primary algorithm to focus medical researcher in the findings to predict the implication of the undertaken diabetes patient. The algorithm was Chronological Clustering proposed by P. Legendre [11] [12].

• Journal of the Korean Society of Food Culture
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• v.31 no.1
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• pp.33-41
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• 2016

The purpose of this study was to examine the difference in nutritional knowledge and food preferences according to food-related lifestyle among 400 married women. Using the K-average clustering method, food-related lifestyles of subjects were categorized into three clusters: rational and diversity-oriented group, convenience-oriented group, and health-oriented group. The nutritional knowledge level and food preferences among three clusters were compared to each other using ANOVA test. The findings were summarized as follows: For the nutritional knowledge level, health-oriented group showed the highest mean score, whereas the lowest score was detected in the convenience-oriented group. The convenience-oriented group showed higher preferences for fish, meat, eggs, fruits, milk/dairy products, seaweed, grains, etc. among natural food than the other groups. Meanwhile, the rational and diversity-oriented group preferred legumes, and green vegetables, whereas the health-oriented group showed preferences for other vegetables. However, the convenience-oriented group reported more preferences for breads, noodles, pancakes, fried/stir-fried food, and processed food such as sausage, ham, and fast food, This study found that nutritional knowledge level and food preferences were significantly different according to food-related lifestyles of married women living in Seoul and Gyonggie areas. Thus, it is suggested that nutritional education targeting married women needs to be carefully designed by considering their food-related lifestyle.

• Korean Journal of Environment and Ecology
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• v.30 no.5
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• pp.915-921
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• 2016

This study aims at analysing the differences on visitors' satisfactory level based-on personal lifestyles in a Korean national park. The lifestyles were classified and differences of satisfaction level among the groups were verified from a questionnaire survey in Bukhansan National Park, Korea. Lifestyles by the factor analysis, 5 factors were sorted. 4 clusters classified as the suitable clusters by clustering analysis. As a result from differences of satisfaction level on the lifestyle types, satisfaction level for each cluster has been shown to be statistically meaningful difference. Satisfaction level in active tendency cluster was the highest among the 4 cluster types(Social>Individual>Passive cluster). Satisfaction differences according to the lifestyles suggests that a fragmented approach is needed rather than an integrated approach for managing facilities and programs in Korean national park system.

• The Research Journal of the Costume Culture
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• v.26 no.3
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• pp.427-449
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• 2018

The current study aimed to segment Mongolian female consumers based on luxury consumption values and to compare lifestyle, demographic characteristics, purchase behavior, and perceived brand personality among the segments. The survey was administered to consumers who had purchased luxury products in Ulaanbaatar, Mongolia. A total of 184 surveys were used for data analysis. Exploratory factor analysis revealed five luxury values: quality value, hedonic value, conspicuous value, social value, and unique value. Using the five luxury values, clustering analysis was conducted, showing that there were four distinct segments: passive shoppers, showoffs, rational value groups, and hedonists. ANOVAs and chi-square analyses revealed that these four segments differed in consumption values, demographic characteristics, lifestyle dimensions (including appearance consciousness, leisure orientation, life enjoyment, and achievement orientation), and purchase behavior (including purchase frequency, price of products purchased, and product selection criteria). Moreover, value segments showed differences in five dimensions of luxury brand personality: sincerity, professionalism/attractiveness, excitement, materialism, and sophistication. The results suggest that consumption values serve as a significant basis for segmentation. Furthermore, the current study indicates that value segments can be described as consumers' perceived brand personality. The study concludes with a discussion of the results, theoretical and practical implications, and limitations.

• Journal of agricultural medicine and community health
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• v.31 no.2
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• pp.145-156
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• 2006

Objectives: Health behaviors are related to each other, or they may be essentially dependent upon each other. Hence the overall health behaviors of a given population could be better described in terms of health lifestyle patterns. This paper tried to classify such patterns in a sample population and suggest the socioeconomic and demographic characteristics of each groups. Methods: A sample population comprised of 2,775 adults who reported their health behaviors in a public health survey were classified according to their smoking, drinking, diet, and exercise related pattern of behaviors. Clustering analysis was used to classify them. Results: Six health lifestyle patterns were identified. Individuals in the passive lifestyle cluster (48.3%) had no active health promoting activities, but did avoid risk taking health behaviors. 24.8% of the sample (Health promoting lifestyle) had an overall healthy lifestyle. 13.5% of the sample were in the smoking cluster, and 8.4% were in the alcohol drinking cluster. The hedonic lifestyle (4.5%) was characterized by heavy smoking, alcohol drinking and poor diet and exercise. 0.7% of the sample (Smoking-Drinking lifestyle) had heavy smoking and drinking, but good diet and exercise. Each group could be characterized by sex, age, and income. Conclusions: A population sample of Seoul adults were successfully clustered into six health lifestyles. The socioeconomic and demographic characteristics were suggested for the characterization of the each health lifestyle groups. We can approach to a certain target population with specific strategy.

• 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.

• Fashion & Textile Research Journal
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• v.15 no.5
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• pp.815-824
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• 2013

This study divides female consumers according to eco-friendly attitudes and the purchase frequency of eco-clothing products; in addition, it analyzes the characteristics of each group in terms of LOHAS lifestyles, the attitudes for eco-clothing products, and satisfaction. Eco-clothing attitudes of female consumers were lower than eco-friendly attitudes. A total of 360 female consumers were divided into 4 group according to purchase frequency and the eco attitude, Type 1: survival (33.0%), Type 2: wellbeing (25.6%), Type 3: curious (15.0%), Type 4: LOHAS (26.4%); in addition, age, income, marit alstatus, occupation, LOHAS lifestyle and shopping places were differentiated by type. Type 1 (low eco attitude and low eco-clothing purchase) were composed of the youngest, college students, low income, low level of LOHAS lifestyles and low level of eco-clothing attitude. Type 2 (high eco attitude and low eco-clothing purchase) were interested in healthy eating & exercise among LOHAS lifestyles; in addition, Type 1 & 2 showed alow level of eco-clothing satisfaction. Type 3, low eco attitude and high eco-clothing purchase, were characterized with high expenditures on clothing relative to income as well as lower levels of family activities and leisure life than LOHAS Type 4. Type 4 (high eco attitude and high eco-clothing purchase) were the oldest group and mostly composed of married workers (the highest income) with the highest LOHAS lifestyles and the highest level of eco-clothing satisfaction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.316-318
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• 2019

Recently, healthy life has become an issue in an aging society, and the number of people who have been interested in continuous health care for better life is increasing. In this paper, we implemented a personalized recommendation systm to provide convenient healthcare management for user. The PHR (Personal Health Record) of user could be stored in the server along with health related information such as lifestyle, disease, and physical condition. The users could be classified into similar clusters according to the PHR profile in order to provide healthcare contents to the users who had similar PHR profile. K-Means clustering was applied to generate clusters based on PHR profile and ACDT(Ant Colony Decision Tree) algorithm was used to provide personalised recommendation of health information stored in knowledge base. The app system developed in this paper is useful for users to perform healthcare themselves by providing information on serious diseases and lifestyle habits to be improved according to the clusters classified by PHR profile.