• Journal of Korean Elementary Science Education
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• v.22 no.1
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• pp.81-96
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• 2003

The purpose of this study is to draw up the promoting plan of science preference by survey and analysis of the preference for science of the elementary students. The preference for science is defined theoretically with three categories ; they are emotional response, behavioral response and value establishment. Causal factors of the science preference were composed of individual factor, educational factor and social factor. According to this theoretical model, a questionnaire was developed, and administered to 696 students of 4,5,6 grade of randomly selected eight elementary schools all over the nation. Elementary students liked science, but they didn't want to select their future job in science-technology area. The science preference of boys was higher than that of girls. The science preference of 4th grade students was higher than that of 5th and 6th grade students. Individual factor affected the curiosity. learning interest, subject accomplishment on the science and course selection in life. Educational factor not only directly affected the curiosity. learning interest, value establishment and belief of the science but also indirectly affected the individual factor and social factor. Therefore, educational factor was the most important on the science preference. Social factor only affected the value establishment and belief on the science. Elementary students wanted to team science through experiment and they wanted science to be easier than that of now. On the analysis of result, the promoting plan of the science preference was suggested.

• Science of Emotion and Sensibility
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• v.11 no.4
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• pp.511-520
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• 2008

The fundamental goal of this study is to analyze characteristics of combined relations of formative element factors that compose robot's face based on a result of preference response from robot's design. Also, in order to improve preference from the analysis result, this study intended to inquire into possibilities of suggesting design guideline. For these, pictures of 27 different kinds of robot faces were selected as experimental stimuli, and experiments of preference response and association response were performed. As a result of the experiments, various characteristics were achieved such as robot's eye shape having greater influences than facial structure, etc. Based on the result, formative element factor characteristics that could positively influence preference response on robot's face could be drawn and a basic design guideline could also be suggested. An eye should be oval so that the length-to-width ratio may be 1.67:1. The distance between both eyes should be 35% of the facial width. Also, eyes should be above the central latitude of the face so that they may be visually stable. It is advisable to round the face generally. Eyes should be harmonious with the face so that the robot may seem cute and charming.

• Journal of Korean Society for Quality Management
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• v.45 no.2
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• pp.191-207
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• 2017

Purpose: To develop an interactive version of the conventional process capability-based approach, called 'Interactive Process Capability-Based Approach (IPCA)' in multi-response surface optimization to obtain a satisfactory compromise which incorporates a decision maker(DM)'s preference information precisely. Methods: The proposed IPCA consists of 4 steps. Step 1 is to obtain the estimated process capability indices and initialize the parameters. Step 2 is to maximize the overall process capability index. Step 3 is to evaluate the optimization results. If all the responses are satisfactory, the procedure stops with the most preferred compromise solution. Otherwise, it moves to Step 4. Step 4 is to adjust the preference parameters. The adjustment can be made in two modes: relaxation and tightening. The relaxation is to make the importance of one of the satisfactory responses lower, which is implemented by decreasing its weight. The tightening is to make the importance of one of the unsatisfactory responses higher, which is implemented by increasing its weight. Then, the procedure goes back to Step 2. If there is no response to be adjusted, it stops with the unsatisfactory compromise solution. Results: The proposed IPCA was illustrated through a multi-response surface problem, colloidal gas aphrons problem. The illustration shows that it can generate a satisfactory compromise through an interactive procedure which enables the DM to provide his or her preference information conveniently. Conclusion: The proposed IPCA has two major advantages. One is to obtain a satisfactory compromise which is faithful to the DM preference structure. The other is to make the DM's participation in the interactive procedure easier by using the process capability index in judging satisfaction/unsatisfaction. The process capability index is very familiar with quality practitioners as well as indicates the process performance levels numerically.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.3
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• pp.49-61
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• 2015

We study the problem of multiple response optimization (MRO) and focus on the selection of input levels which will produce desirable output quality. We propose an interactive multiple objective optimization approach to the input design. The earlier interactive methods utilized for MRO communicate with the decision maker only using the response variable values, in order to improve the current response values, thereby resulting in the corresponding design solution automatically. In their interaction steps of preference articulation, no account is taken of any active changes in design variable values. On the contrary, our approach permits the decision maker to change the design variable values in its interaction stage, which makes possible the consideration of the preference or economics of the design variable side. Using some typical value functions, we also demonstrate that our method converges reasonably well to the known optimal solutions.

• Journal of the Korean Institute of Landscape Architecture
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• v.26 no.2
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• pp.269-282
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• 1998

The visual preference of interiors focusing on lobbies was investigated as a function of six predictor variable on the base of the Informational Approach: complexity, coherence, mystery, spaciousness, brightness, plant. The Common Fcator Analysis of preference ratings yielded six common factors which helped to account for 22.3 percent of the variance in preference response to the scene. Among these factors, the factor defined as 'bright with many plants' was the most preferred and the factor defined as 'simple and closed' was the least preferred. The environmental attributes reflected in six groups of scenes were colour, resting place, window and the six predictors. In the commercial building scenes, complexity, spaciousness, coherence, brightness and mystery out of six predictors accounted for 74 percent of preference variance as the significant contributors. In the business building scenes, three predictors which are brightness, complexity, spaciousness accounted for 84 percent of preference variance. 'The amount of plant' not only influenced the preference indirectly through the intervening variable, complexity, but also was moderately correlated with brightness. The overall pattern of the resulted confirmed the usefulness of the Informational Approach to predict the preference in interiors focusing on lobbies.

• IE interfaces
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• v.11 no.3
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• pp.143-153
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• 1998

Warning control is one of the most important components in driver's cabin for achieving safe driving. The purpose of this study is to suggest ergonomically optimal location and type of passenger car's warning control. An experiment was conducted using driving simulator, in which nine locations and two types of warning controls -push button, rocker switch- were employed as experimental variables, and response time for warning signal and preference for locations and types of warning controls were measured as dependent variables. The results showed that response time for warning signal was the shortest when warning control was located at the middle left corner of the center fascia, and was the second at the middle center of the center fascia. Preference for warning signal was the highest at the middle left comer of the center fascia, and was the second between the steering wheel column and the center fascia. Although push button was not preferred to rocker switch, response time was shorter for push button than for rocker switch. It was suggested from these results that warning control with the type of push button should he located at among the middle left corner of the center fascia, the middle center of the center fascia, and between the steering wheel column and the center fascia.

• Archives of design research
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• v.15 no.4
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• pp.149-156
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• 2002

The success of a product is only possible on the basis of user preference for products and the user preference for products is greatly influenced by the design. Designers have to understand user preference and convert it into the combination of specified design attribute, and after that they should design products which have the image that they want to get. Then the product will be sure to be a hit. Therefore, on the point of view of design, it is necessary to find oui definitely the consumer preference frame : the relationship among design preference - design images - design attribute. This study will give you guidelines on which designers can select and design some more objective and reliable design factors, finding out the relation of cause and effect by which they can know what kind of product designs their consumers like and how the popular image which that products offer is composed of. Therefore, in this study, after we developed the consumer response framework which is proposed by Bloch(1995) : distinct relationship model among preference - design image adjective - design factors, we analyzed the relationship among preference-design image adjective - design factors through the empirical researches. And then we give the way of design.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.7061-7070
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• 2015

Multi-Response Surface Optimization aims at finding the optimal setting of input variables considering multiple responses simultaneously. The Weighted Mean Squared Error (WMSE) minimization approach, which imposes a different weight on the two components of mean squared error, squared bias and variance, first obtains WMSE for each response and then minimizes all the WMSEs at once. Most of the methods proposed for the WMSE minimization approach to date are classified into the prior preference articulation approach, which requires that a decision maker (DM) provides his/her preference information a priori. However, it is quite difficult for the DM to provide such information in advance, because he/she cannot experience the relationships or conflicts among the responses. To overcome this limitation, this paper proposes a posterior preference articulation method to the WMSE minimization approach. The proposed method first generates all (or most) of the nondominated solutions without the DM's preference information. Then, the DM selects the best one from the set of nondominated solutions a posteriori. Its advantage is that it provides an opportunity for the DM to understand the tradeoffs in the entire set of nondominated solutions and effectively obtains the most preferred solution suitable for his/her preference structure.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.3
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• pp.27-36
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• 1998

This work has improved the method of Kim and Gal's (6) in that of requiring less response of the DM(decision maker) and ease of reply. The underlying notion is the MCDC(maximally changeable dominance cone) for describing all efficient solutions under the particular preference structure. According to the DM's partial preference expression, enlarging the MCDC is achieved, which results in reducing the solutions needed to take into consideration. The cone generators corresponding to the DM's response are added to the MCDC, which results the MCDC is enlarged. Adopting the scheme of pairwise comparison as a means of acquiring preference attitude, an improved interactive method is proposed. And also, a scheme of choosing a reference point is suggested to achieve the computational efficiency.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.3
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• pp.164-175
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• 2017

Dual response surface optimization (DRSO) attempts to optimize mean and variability of a process response variable using a response surface methodology. In general, mean and variability of the response variable are often in conflict. In such a case, the process engineer need to understand the tradeoffs between the mean and variability in order to obtain a satisfactory solution. Recently, a Posterior preference articulation approach to DRSO (P-DRSO) has been proposed. P-DRSO generates a number of non-dominated solutions and allows the process engineer to select the most preferred solution. By observing the non-dominated solutions, the DM can explore and better understand the trade-offs between the mean and variability. However, the non-dominated solutions generated by the existing P-DRSO is often incomprehensive and unevenly distributed which limits the practicability of the method. In this regard, we propose a modified P-DRSO using multiple objective genetic algorithms. The proposed method has an advantage in that it generates comprehensive and evenly distributed non-dominated solutions.