• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.46-59
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• 2010

This study is a survey research for adult men in their from 20's to 50's. The purpose of this study is to find out that demographic characteristic, material knowledge, and purchase price have what effect on the selection behavior and the post-purchase satisfaction. The results are as follows. The purchase place according to demographic characteristic showed the significant difference in ages, monthly income, and occupation. The purchase amount per a dress suit and the having quantity of dress suits showed the significant difference according to all demographic characteristics. The importance of an selective criteria in case of selecting dress suits showed the partly significant difference according to demographic characteristics. The post-purchase satisfaction showed the no significant difference according to demographic characteristics, but showed the significant difference according to the knowledge degree for materials and purchase amounts. The interaction effect among demographic characteristics, the degree of knowledge for materials, and the purchase amount showed frequently the significant difference between two variables. The factor which have most greatly an effect on post-purchase satisfaction of menswear was the degree of knowledge for materials.

• Journal of the East Asian Society of Dietary Life
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• v.15 no.2
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• pp.235-245
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• 2005

This study was conducted to investigate the eating out behavior and its factors in restaurant selection by students in Incheon area. Self administered questionnaires were collected from 297 students. Statistical data analysis was completed using a SPSS v. 10.0 program. The results are summarized as follows: The average age, weight, height, BMI and male and female students were $24.31,\;67.96\cal{kg},\;174.93\cal{cm},\;22.17\;;\;20.55,\;51.99\cal{kg},\;165.44\cal{cm},\;19.00$ reflectively. About $54.2\%$ of male students and $38.0\%$ of female students responded to eat out at least once a day. And lunch was most frequent meal for eating out. About $57\%$ of students responded to have eat at restaurants around campus, and $19.5\%$ of students used the university foodservice system. Korean-style food was most favorite dish when they ate out. Major source of restaurants information was recommended action by friends or family. But the use of internet or magazine was negligible. The factor of restaurants choice was in order 'taste', 'price', 'atmosphere' and 'hygienic'.

• The Research Journal of the Costume Culture
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• v.4 no.2
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• pp.173-185
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• 1996

The purpose of this study was to identify the relationship of clothing involvement and clothing buying behavior of women. A questionnaire was developed to measure clothing involvement, clothing purchasing motives, clothing purchasing criteria, fashion information sources, store selection criteria, and demographic characteristics. The questionnaire was administered to 430 female adults in Taegu. The data were analyzed using percentage, frequency, factor analysis, and t-test. The results of the study were s follows: 1. Subjects were divided into low clothing involved and high clothing involved groups. 2. Three dimensions of clothing purchasing motives were derived by factor analysis such as Aesthetic dependant, Impulsive, and Practical motive. Clothing purchasing criteria were factor analysed as Aesthetic, Qualitative, External, and Economical criterion. Fashion information sources were factor analysed as Printed & audio-visual oriented media, Marketer intensive search, Store search, Observation & Interpersonal search, and Experience. Store selection criteria were factor analyzed as Merchandise & Store atmosphere, Store convenience, and Brand & fashion. 3. There were significant differences between high involved and low involved consumers in clothing purchasing behavior. The high involved consumers showed more importance than low involved consumers about purchasing criteria expecially in aesthetic dependant. The high involved consumers put more importance to aesthetic, qualitative, and external criterion as clothing purchasing criteria. The high involved information sources. The high involved consumers were more concerned about merchandise & store atmosphere, and brand & fashion than low involved consumers in store selection criteria.

• Journal of Intelligence and Information Systems
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• v.14 no.3
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• pp.59-76
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• 2008

In this paper, we propose an agent architecture called L-CAA that is quite effective in real-time dynamic environments. L-CAA is an extension of CAA, the behavior-based agent architecture which was also developed by our research group. In order to improve adaptability to the changing environment, it is extended by adding reinforcement learning capability. To obtain stable performance, however, behavior selection and execution in the L-CAA architecture do not entirely rely on learning. In L-CAA, learning is utilized merely as a complimentary means for behavior selection and execution. Behavior selection mechanism in this architecture consists of two phases. In the first phase, the behaviors are extracted from the behavior library by checking the user-defined applicable conditions and utility of each behavior. If multiple behaviors are extracted in the first phase, the single behavior is selected to execute in the help of reinforcement learning in the second phase. That is, the behavior with the highest expected reward is selected by comparing Q values of individual behaviors updated through reinforcement learning. L-CAA can monitor the maintainable conditions of the executing behavior and stop immediately the behavior when some of the conditions fail due to dynamic change of the environment. Additionally, L-CAA can suspend and then resume the current behavior whenever it encounters a higher utility behavior. In order to analyze effectiveness of the L-CAA architecture, we implement an L-CAA-enabled agent autonomously playing in an Unreal Tournament game that is a well-known dynamic virtual environment, and then conduct several experiments using it.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.4
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• pp.139-151
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• 2011

Since personality lead to relatively consistent responses to one's own environment, consumers' distinct personality influences their buying behavior. In order to understand the relationship between consumer's personal characteristics and purchase behavior, the study investigated the effect of consumers' personality trait on the clothing selection criteria and preferred clothing image. Survey was utilized to collect the data and subjects were 333 high school students. Measures consisted of three main constructs: Consumer's extroversion and openness based on the Big-Five personality trait, clothing selection criteria, and preferred clothing image. The data were analyzed using PRELIS 2, LISREL 8.8, and SAS 9.2. The subjects was classified into three groups; Group 1 was a group of intermediate-level in openness and extroversion while Group 2 was a group of high-level in both personality traits. Group 3 was a group of high-level in openness but of low-level in extroversion. Clothing selection criteria were confirmed to have five constructs: other-directed, aesthetic, fashion & conformity-oriented, brand-oriented, and practical. In the buying situation, Group 1 prioritized fashion & conformity-oriented and brand-oriented criteria but regarded other-directed and aesthetic as less important than other groups did. Group 2 considered that all of the clothing selection criteria were important except practical. "The were six factors in the clothing image: elegance, simple, ethnic, masculine, active, and modem. The result showed a significant difference between groups in preferred clothing images. Group 2 liked most of the clothing images but group 3 did not. Group 3 preferred simple clothing image more than masculine or ethnic ones. Overall, the study concluded that the openness and extroversion of Big-Five personality traits could serve as a predictor of clothing selection criteria and preferred clothing image.

• Journal of Korean Library and Information Science Society
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• v.48 no.2
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• pp.323-344
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• 2017

Despite the close relatedness of the factors for reading motivation and book selection, few researchers have examined these factors together in a single study. To deal with this dearth of research, this study was designed to explore factors of motivation for reading and book selection of high school students comprehensively. The authors conducted in-depth interviews with fifteen high school students and analyzed their responses in order to identify the meaningful factors. The findings of this study reveal the five major factors: (1) characteristics of information sources, (2) school and learning environment, (3) individual factors, (4) home environment, and (5) social environment. In particular, the five types of factors seem to have a combined effects on reading motivation and book selection. The findings also suggest that one's reading motivation is a prerequisite for his/her book selection; however, the reading motivation does not always lead to book selection. The results of this study may deepen our understanding of reading behavior of high school students, which can be used in reading instruction and designing new programs.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2027-2032
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• 2003

For action selection as well as learning, simple associations between stimulus and response have been employed in most of literatures. But, for a successful task accomplishment, it is required that an animat can learn and express behavioral sequences. In this paper, we propose a novel action-selection-mechanism to deal with sequential behaviors. For this, we define behavioral motivation as a primitive node for action selection, and then hierarchically construct a network with behavioral motivations. The vertical path of the network represents behavioral sequences. Here, such a tree for our proposed ASM can be newly generated and/or updated, whenever a new sequential behaviors is learned. To show the validity of our proposed ASM, three 2-D grid world simulations will be illustrated.

• Communications for Statistical Applications and Methods
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• v.4 no.2
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• pp.453-463
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• 1997

Nonparametric kernel regression has recently gained widespread acceptance as an attractive method for the nonparametric estimation of the mean function from noisy regression data. Also, the practical implementation of kernel method is enhanced by the availability of reliable rule for automatic selection of the bandwidth. In this article, we propose a method for automatic selection of the bandwidth that minimizes the asymptotic mean square error. Then, the estimated bandwidth by the proposed method is compared with the theoretical optimal bandwidth and a bandwidth by plug-in method. Simulation study is performed and shows satisfactory behavior of the proposed method.

• Journal of information and communication convergence engineering
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• v.3 no.4
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• pp.209-212
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• 2005

This study proposes hybrid case-based reasoning and genetic algorithms model for customer classification. In this study, vertical and horizontal dimensions of the research data are reduced through integrated feature and instance selection process using genetic algorithms. We applied the proposed model to customer classification model which utilizes customers' demographic characteristics as inputs to predict their buying behavior for the specific product. Experimental results show that the proposed model may improve the classification accuracy and outperform various optimization models of typical CBR system.

• Journal of the Korean Statistical Society
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• v.3 no.1
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• pp.31-57
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• 1974

The economic behavior of individuals' selection of particular kye and positions in a kye is based upon choice criteria. The selection of a kye or a position in a kye is not the same as an investor's portfolio selection. A kye member combines in varying degrees the characteristics of both a borrower and a lender of funds. In the following sections we shall first propose choice criteria for borrowers and lenders of funds, then we will try to test various hypotheses derived from the choice criteria by empirical data.