• Journal of the Korean Institute of Landscape Architecture
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• v.32 no.3
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• pp.91-105
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• 2004

Recently the function of a department store has changed to the concept of a multi-functional center because of the alternative stores such as discount stores, home shopping, and internet shopping. This means that the front plaza of a department store is not a personal or private space any more, but a public space. This study focuses on the special character of public space through the classification and preference types of department store front plazas. The major results of this study can be summarized as follows: (1) Components of front plaza of department store are classified by three factors. The first factor, named "space limit", has 14 elements ; the second, named "space decoration" has 16 elements ; third, named "activity", has 2 elements. The first preferred element is easily- used and easily- serviced wide space. The second preferred element is the equipment that is placed linearly along the street. The third preferred element is cultural events. (2) The comparison between the frequency and preference shows that the plazas could not satisfy the user-needs. (3) Preference factors of front plazas were examined to three characters such as familiarity, peculiarity, and openness. Familiarity, peculiarity, openness have a positive correlation in all types. Peculiarity especially influences the other two space - preference factors.

• Journal of Korean Elementary Science Education
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• v.26 no.2
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• pp.216-225
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• 2007

The purpose of this study is to find out the differences (if any) and the causes of preferences for science between elementary school boys and girls. Another purpose of this study is to find out when such differences in preference begin and what their causes we. Fourth, fifth and sixth grades from elementary school A in Gyeongg-gi Province participated twice in research surveys on preference levels in science with education, career course and personal experience taken into account. A total of 997 survey responses, (excluding no responses or half-hearted ones) were selected for comparative analysis. The analysis methods used were frequency analysis, cross stabs and one-way ANOVA Analysis which depended on survey items. The results of this study show that preference levels in science are 61.7% and the difference of preference levels in science between boys and girls are 31.2% and 30.5% with boys showing higher percentages in science preference levels than girls(p<.01). Moreover, the results also show that the point in which changes in preference level in science emerges is from fifth and sixth grades. Therefore, the gender difference in preference levels in science begins with fifth grade students, with science being slightly more favored by boys. finally, the main causes in gender differences seems to be the experiment participants' levels, scientific education textbook preference level, interests in science class, and plans for the future that are related to field of science. Among these causes, interests level in science class and preference levels in science are closely related.

• Journal of Nutrition and Health
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• v.50 no.1
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• pp.53-63
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• 2017

Purpose: This study was performed to examine motivational factors affecting sweetness preference in Korean and Japanese children. We identified meaningful variables that could be targeted to nutrition education interventions designed to overcome innate barriers and reduce sweetness preference and sweet food intake in Korean and Japanese children. Methods: Questionnaire surveys and sweetness preference test were conducted to examine variables affecting behavioral intention (BI) regarding sweetness preference. Questionnaire variables were based on the theory of planned behavior. Participants were recruited from one urban school from each country. In total, 166 children (mean age: 8.4 years) and their guardians (n = 166) participated in the study. A trained research assistant provided all children with personal guidance regarding completion of the sweetness preference test and survey questionnaire at school. The data were analyzed using Pearson's correlation coefficients, t tests, repeated measure ANOVA, and stepwise multiple regression analysis (significance level: p < 0.05). Results: Perceived behavioral control (PBC) and parenting practice were significantly associated with BI in both groups. Motivation to comply affected BI only in Japanese children, whereas affective attitude was associated with BI only in Korean children. In predicting sweetness preference, BI was associated only in Japanese children, whereas sweets consumption frequency had a significant effect in Korean children. Conclusion: The study shows similarities and differences in motivational factors, which could be considered when developing nutrition education programs in Korea and Japan. PBC and parenting practice were common factors in predicting BI. In predicting sweetness preference, BI had a significant effect on Japanese children, whereas sweets consumption frequency was the greatest contributor in Korean children.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1992.04b
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• pp.267-277
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• 1992

본 논문은 다목적선형계획법을 위한 Decision Support System ASEOV-VIM을 소개하고 있다. ASEOV-VIM에는 1) efficient solution set전체에 대한 개괄과 search direction을 제새하는 ASEOV; 2) decision maker의 preference information을 도출해내는 VIM; 3) 위 두 부분간의 interface로 활용되는 Mediator등 3개의 하부시스템이 있다. ASEOV-VIM은 TURBO-C를 이용하여 personal computer에 구현되었다.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.240-241
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• 2005

• Fashion & Textile Research Journal
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• v.6 no.4
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• pp.461-466
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• 2004

The purpose of this study is to examine the different purchasing behaviors of natural dyes according to the personal value orientation of the consumers in question. In addition, this study sets out the purchasing behaviors according to demographic variables. To collect data, this study surveyed 150 housewives living in Daegu in November 2003 using convenient sampling. SPSS 10.0 was used for the statistical analysis of the sampled data including basic statistics, factor analysis and multiple regression analysis. The results derived from this study are as follows : 1) The group that exhibited a more self-controlled value orientation prefers to purchase natural dyes. 2) Consumers with relatively high education backgrounds and in an older age group have preference in purchasing natural dyes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.502-503
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• 2019

In the existing system that recommends through review data analysis, it does not reflect personal preference details such as user's characteristics or product purchase tastes, in this paper, we propose a system that provides customized recommendation information to various users by selecting the criterion that the user thinks most importantly when searching for the product and purchasing the product, and analyzing it. This is because the user's personal preference is reflected by arranging the product list based on the criterion that the user occupies the largest portion of the product purchase, so that it is more efficient than the recommendation through the recommendation system.

• The KIPS Transactions:PartC
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• v.13C no.5 s.108
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• pp.651-658
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• 2006

Mobile computing environment is known to be quite difficult to provide user with a stable QoS(Qualify of Service) due to its mobility nature. In order to protect the inherent characteristics of wireless network such as low bandwidth and high transmission delay along with the user's mobility, many works are conducted to apply caching and prefetching methods. This paper presents a novel prefetching technique which is based on user's preference, that is, interest and Uuかity. It tries to improves the effectiveness of prefetching by separating and appling the interest with personal tendency of a given information, and the popularity with general tendency of the information. The proposed scheme shown relatively superior performance in terms of the utilization ratio of prefetched information and the failure ratio of information retrieval than the existing methods.

• Korean Journal of Human Ecology
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• v.5 no.1
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• pp.65-73
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• 1996

The purpose of this study was to investigate preference in clothing fashion design and clothing purchase behavior. The questionnaires were administered to 281 female university students in Cheongju area to measure of demographic information, preference in clothing fashion design, interest of fashion in clothing, and clothing purchase behavior. As statistical analysis, frequencies, $x^2$-test and ANOVA were used. The results were as follows : 1. There were different preference in clothing fashion design. 2. The female university students had moderate interest of fashion in clothing, and the interest of fashion in clothing were significantly different according to personal factors. 3. The female university students purchased mainly their clothings at department store, and they were purchased on sale. 4. Most of female university students purchased T-shirts and pants from February to April, 1995.

• Knowledge Management Research
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• v.11 no.2
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• pp.75-93
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• 2010

Even though there have been many efforts on driver's route recommendation, driver still should get involved to choose the driving path in a manual manner. Uncertain traffic information provided to the driver delays his arrival time and hence may cause diminished economic values. One of the solutions of reducing the uncertainty is to provide various kinds of traffic information, rather than send real-time information. Therefore, as the wireless communication technology improves and at the same time volume of utilizable traffic contents increases in geometrical progression, selecting traffic information based on driver's context in a timely and individual manner will be needed. Hence, the purpose of this paper is to propose a methodology that efficiently sends the rich traffic contents to the personal in-vehicle navigation. To do so, driver preference is modeled and then the recommendation algorithm of traffic information contents was developed using the preference model. Secondly, ontology based traffic situation analyzation method is suggested to automatically inference the noticeable information from the traffic context on driver's route. To show the feasibility of the idea proposed in this paper, an open API service is implemented in consideration of ease of use.