• Title/Summary/Keyword: PREFERENCE BASED

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Analysis on the business strategy and policy for the alternative fuel vehicle : Using stated preference data (대체연료 자동차에 대한 소비자 선호 분석을 통한 산업전략과 기술정책에 관한 연구)

  • 김연배;정기철;안지운;이정동
    • Proceedings of the Technology Innovation Conference
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    • 2006.02a
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    • pp.264-297
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    • 2006
  • In this paper, we attempt to analyze consumer preference for the alternative-fuel vehicles based on data from a stated preference using the conjoint analysis. Five possible fuel types (gasoline, diesel, CNG, LPG, Hybrid (electricity+gasoline)) are covered in conjoint cards. To estimate and analyze consumer preference, discrete choice model is used. Specifically, Bayesian mixed logit model is used. Based on estimating results, we discuss the business strategy and policy for the alternative fuel vehicle.

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Case Analysis of Problem Solving Process Based on Brain Preference of Mathematically Gifted Students -Focused on the factors of Schoenfeld's problem solving behavior- (수학영재들의 뇌선호유형에 따른 문제해결 과정 사례 분석 -Schoenfeld의 문제해결 행동요인을 중심으로-)

  • Kim, Jae Hee;Song, Sang Hun
    • Journal of Elementary Mathematics Education in Korea
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    • v.17 no.1
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    • pp.67-86
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    • 2013
  • The purpose of this study is to analyze selection of factors of Schoenfeld's problem solving behavior shown in problem solving process of mathematically gifted students based on brain preference of the students and to present suggestions related to hemispheric lateralization that should be considered in teaching such students. The conclusions based on the research questions are as follows. First, as for problem solving methods of the students in the Gifted Education Center based on brain preference, the students of left brain preference showed more characteristics of the left brain such as preferring general, logical decision, while the students of right brain preference showed more characteristics of the right brain such as preferring subjective, intuitive decision, indicating that there were differences based on brain preference. Second, in the factors of Schoenfeld's problem solving behavior, the students of left brain preference mainly showed factors including standardized procedures such as algorithm, logical and systematical process, and deliberation, while the students of right brain preference mainly showed factors including informal and intuitive knowledge, drawing for understanding problem situation, and overall examination of problem-solving process. Thus, the two types of students were different in selecting the factors of Schoenfeld's problem solving behavior based on the characteristics of their brain preference. Finally, based on the results showing that the factors of Schoenfeld's problem solving behavior were differently selected by brain preference, it may be suggested that teaching problem solving and feedback can be improved when presenting the factors of Schoenfeld's problem solving behavior selected more by students of left brain preference to students of right brain preference and vice versa.

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The Relationship between Fixation and Brain Preference (고착(Fixation)과 뇌활용성향과의 관계)

  • Lee, Hong;Jun, Yun-sook;Park, Eun-a
    • Knowledge Management Research
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    • v.6 no.1
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    • pp.85-103
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    • 2005
  • The purpose of this study was to identify the relationship between fixation and brain preference. Based on the hemisphere asymmetric theory and fixation, two hypotheses were articulated. They were: 1) Right-brain preference is negatively related to divergent fixation. 2) Left-brain preference is negatively related to convergent fixation. A self-reporting scale for measuring the brain preference with 42 items were developed for the study based on functional characteritics of left and right hemisphere. Samples were collected from 579 college students in K University. Regression analysis showed that right-brain preference was negatively associated with divergent fixation. In the relationship between left-brain preference and convergent fixation, mixed results were produced. Research implication were discussed at the end of the study.

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A Multi-Agent MicroBlog Behavior based User Preference Profile Construction Approach

  • Kim, Jee-Hyun;Cho, Young-Im
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.1
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    • pp.29-37
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    • 2015
  • Nowadays, the user-centric application based web 2.0 has replaced the web 1.0. The users gain and provide information by interactive network applications. As a result, traditional approaches that only extract and analyze users' local document operating behavior and network browsing behavior to build the users' preference profile cannot fully reflect their interests. Therefore this paper proposed a preference analysis and indicating approach based on the users' communication information from MicroBlog, such as reading, forwarding and @ behavior, and using the improved PersonalRank method to analyze the importance of a user to other users in the network and based on the users' communication behavior to update the weight of the items in the user preference. Simulation result shows that our proposed method outperforms the ontology model, TREC model, and the category model in terms of 11SPR value.

The Effect of an Augmented Reality-Based Intervention Program on Social Withdrawal in Children with Conflicted Shyness (갈등적 수줍음형 사회적 위축 유아를 위한 증강현실 기반 개입 프로그램 개발 및 효과 검증)

  • Yoon Kyung Kim;Ju Hee Park
    • Korean Journal of Childcare and Education
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    • v.19 no.4
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    • pp.1-27
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    • 2023
  • Objective: This study designed an Augmented Reality-based intervention program for children with conflicted shyness and examined its effects on social avoidance motivation and preference for being with others. Methods: Sixteen six-year-old children were randomly assigned to either the experimental or control group. The experimental group participated in a six-week AR-based program. Both teachers and children rated social avoidance motivation and preference for being with others to evaluate the program's effectiveness. Data were analyzed using the Wilcoxon signed-rank test and the Mann-Whitney U test. Results: Social avoidance motivation decreased only for the experimental group. Conversely, the control group showed increased motivation scores as reported by the children. The preference for being with others increased in the experimental group based on teacher reports. For the control group, preference scores reported by teachers and children were maintained and decreased, respectively. Conclusion/Implications: This study highlights the effectiveness of the intervention in reducing social avoidance motivation and maintaining a preference for being with others in children experiencing conflicted shyness. Furthermore, the use of AR technology provided a psychologically safe environment for them to initiate social interactions without fear of negative evaluation, highlighting its potential as a primary intervention tool for this population.

The Preference Study of Vehicle Warning Sound Considering the Sale Region and Personal Preference based on Psychoacoustics (심리음향 기반 판매 지역 및 개인별 성향을 고려한 차량 경고음의 선호도 연구)

  • Kim, Seong-Hyeon;Park, Dong-Chul
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2013.04a
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    • pp.122-129
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    • 2013
  • The vehicle's waning sounds are used for the purpose of informing the specific situation to the driver. In the past, the warning sounds were developed in terms of a simple notification. With the increasing importance of the emotional quality of vehicle, the research in terms of sound quality has been actively conducted. The desired sounds are dependent upon customer expectation and usage requirements. And it based on cultural or regional difference and personal preference. In this paper, the preference study considering the sale region and personal preference is introduced. Jury test for subjective evaluation are carried out and the difference in preference is analyzed.

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Hybrid Preference Prediction Technique Using Weighting based Data Reliability for Collaborative Filtering Recommendation System (협업 필터링 추천 시스템을 위한 데이터 신뢰도 기반 가중치를 이용한 하이브리드 선호도 예측 기법)

  • Lee, O-Joun;Baek, Yeong-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.5
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    • pp.61-69
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    • 2014
  • Collaborative filtering recommendation creates similar item subset or similar user subset based on user preference about items and predict user preference to particular item by using them. Thus, if preference matrix has low density, reliability of recommendation will be sharply decreased. To solve these problems we suggest Hybrid Preference Prediction Technique Using Weighting based Data Reliability. Preference prediction is carried out by creating similar item subset and similar user subset and predicting user preference by each subset and merging each predictive value by weighting point applying model condition. According to this technique, we can increase accuracy of user preference prediction and implement recommendation system which can provide highly reliable recommendation when density of preference matrix is low. Efficiency of this system is verified by Mean Absolute Error. Proposed technique shows average 21.7% improvement than Hao Ji's technique when preference matrix sparsity is more than 84% through experiment.

The Analysis of Images and Preference on Cultural Products based on Baekje Traditional Culture - Focused on Adolescents - (백제의 전통문화를 활용한 문화상품의 이미지와 선호도 분석 - 10대 청소년을 중심으로 -)

  • Lee, Mi-Sook
    • Journal of the Korea Fashion and Costume Design Association
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    • v.18 no.3
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    • pp.85-98
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    • 2016
  • The purpose of this study was to investigate the adolescents' images and preference on cultural products based on Baekje traditional culture focused on adolescents. The subjects were 421 adolescents in Daejeon and Chungnam province. The measuring instruments was stimuli of cultural products and a questionnaire with semantic differential scales of image of cultural products, preference, product evaluation criteria, and subjects' demographics characteristics. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, t-test, ANOVA, Duncan's multiple range test, and regression analysis using SPSS program. The results were as follows. First, 3 factors(attractiveness, interest, gentleness) were emerged on images of cultural products based on Baekje tradition culture, however, the current products could not convey affectively the attractive and gentle image of baekje traditional culture. Second, the preference of the Baekje cultural products was evaluated low, and especially design and price was rated low in the evaluation criteria. Third, preference was related with the 3 image factors, and attractiveness factor was showed highly positive effects on preference of cultural products. The implication of this study was to provide the useful cultural product development plan for adolescents, and the research results suggested that modern and individual design, unique traditional pattern, resonable price, and practicality have to be considered to develop successful cultural products for adolescents.

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A Study on the Visual Preference in Enclosed Spaces Based on the Paired Comparison Method (쌍체비교기법을 통한 중정의 시각적 선호에 관한 연구)

  • 이태희;임승빈
    • Journal of the Korean Institute of Landscape Architecture
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    • v.14 no.3
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    • pp.3-19
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    • 1987
  • The purpose of this study was to investigate desirable width / height ratio of enclosed space and to offer basic information for the design of enclosed spaces. The data of this study were gathered from the experiment through simulation. Photographic sampling of 7 campus sites located in Kwanak campus of Seoul National University and slides of perspective drawings of enclosed spaces with various D/H ratio (12, 1, 2, 4, 6, 9, 12)were used for simulation. A response format was made using the method of paired comparison and students from various departments were randomly selected for evaluation. In the method of analysis of data Thurstone's equation of Comparative Judgement was used for calculating preference score. A1so non-linear regression analysis was used for finding out relations between preference and D/H ratio. The other method of data analysis were correlation, Chi - test. And the results were summarized as follows. 1. In sketch simulation the ratio of D/H 4 got the highest preference store. This result suggests that desirable D/H ratio of enclosed space is D/H 4. And at the lower range of D/H ratio, as ratio increases, the preference score increases. At the higher range of D/H ratio, however, as ratio increases, the preference score starts to decrease from the cardinal point of D/H 4. 2. In campus photograph simulation preference is influenced by slope, elevation change of floor, trees, lawn area, familiarity, space arrangement, and exterior shape of building besides D/H ratio. 3. The preference virtue was not significantly affected by order effect. This result suggests that order effect can be ignored in the study of visual preference. 4. There are so many factors related to preference that it is difficult to explore those factors without scientific information based on scientific method. We must carry out study for scientific approach of planning and design based on precise, complete simulation technique.

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Recommendation Algorithm by Item Classification Using Preference Difference Metric (Preference Difference Metric을 이용한 아이템 분류방식의 추천알고리즘)

  • Park, Chan-Soo;Hwang, Taegyu;Hong, Junghwa;Kim, Sung Kwon
    • KIISE Transactions on Computing Practices
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    • v.21 no.2
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    • pp.121-125
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    • 2015
  • In recent years, research on collaborative filtering-based recommendation systems emphasized the accuracy of rating predictions, and this has led to an increase in computation time. As a result, such systems have divergeded from the original purpose of making quick recommendations. In this paper, we propose a recommendation algorithm that uses a Preference Difference Metric to reduce the computation time and to maintain adequate performance. The system recommends items according to their preference classification.