• Journal of The Korean Association For Science Education
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• v.16 no.2
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• pp.190-199
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• 1996

The purpose of this study was twofold: (1) to design a system for constructing Likert attitude scales as supported by the sociopsychological and measurement literature, and (2) (using the design) to develop an affective component of "Attitudes toward Science" scale for high school students. The rationale for developing a new attitude scale is presented in the context of a review of existing attitude scales. As discussed in the literature review, many existing attitude scales are based on ill-defined theoretical constructs, and includes statements that do not appear to be assessing a single construct of attitude toward science. In addition, existing attitude scales do not distinguish between affective and behavioral and cognitive components of attitude toward science. Thus, this study was to carefully define the construct, subcomponents of attitude toward science, and develop an affective component of "Attitude toward Science" scale to reflect the construct and to distinguish between affective and behavioral and cognitive components of attitude toward science. The results of this study: (1) three-mains step for designing reliable and valid attitude scale were developed, and (2) 35 items(16 positive and 19 negative) for an affective component of "Attitudes toward Science" scale with the following characteristics were developed: (a) The internal consistency was estimated using Cronbach's coefficient ${\alpha}$, 0.9727. (b) The range of adjusted item-total correletion(${\gamma}$-value) were 0.58${\sim}$0.83. (c) The correlation coefficient ranged between 0.61 and 0.74 revealing a moderate relatedness between subcomponents. (d) The correlation coefficient for concurrent validity were 0.55 with TOSRA and 0.51 with SAl.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.4
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• pp.393-401
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• 2007

Affective aspects of design attributes such as color, Pattern, and texture are important to the overall impression and the success of interior products. Among all the interior materials, wallpapers and flooring materials take up largest construction area and they are main components in creating affective impression for customers. This study aims to investigate the relationship between luxuriousness and related affective variables and design elements of wallpapers and flooring materials. The approach consists of 3 steps: (1) selecting related affective features and product design attributes through a literature survey, opinion of expert panel, and focus group interview, (2) conducting evaluation experiments, and (3) developing Kansei models using multivariate statistical analysis and analyzing critical attributes. Evaluation experiment was conducted using a questionnaire made up of 7-point scale and 100-point scale and 30 housewives and 20 interior designers participated in the evaluation experiment. The result of evaluation was analyzed through principal component regression and quantification I analysis. As a result of analyzing the survey data, the relationship between luxuriousness and related affective features and product design attributes was identified, moreover a optimal combination of the design component was identified. Consequently, it is expected that the results of the study would be a basis of the concept of emotion-based design by giving insights about how customers perceive the luxuriousness and suggesting the optimal combination, and providing specific quantitative design guidelines.

• Fashion, Industry and Education
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• v.14 no.1
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• pp.31-39
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• 2016

With the emergence of online communities, the role of online communities in establishing brand equity has been greatly emphasized. In order to enhance our understanding of commitment in online brand communities, the present study attempts to investigate how three dimensions of community commitment (continuance, affective, and normative commitment) influence each component of brand equity (brand awareness, brand association, perceived quality, and brand loyalty) in the context of company-initiated online brand community. An online survey was conducted with a sample of online brand community members. The results found differential impacts of three types of community commitment on brand equity components, emphasizing the role of continuance and affective commitment. Continuance community commitment positively influenced brand awareness and brand association. Affective community commitment positively affected perceived quality, while among the three, only continuance and affective community commitment influenced the enhancement of brand loyalty. The results suggest that brand marketers need to focus on continuance and affective commitment factors in their online communities to effectively enhance brand equity possessed by consumers. Theoretical and managerial implications are provided.

• Proceedings of the Costume Culture Conference
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• 2001.07a
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• pp.16-19
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• 2001

• Science of Emotion and Sensibility
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• v.7 no.1
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• pp.23-28
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• 2004

In this paper, we investigated the affective components of facial beauty. In study 1, we did factor analysis of affective evaluations of the faces, and about 65% of the variances are explained by only two factors. Two factors were named 'sharp' and 'soft', respectively. In study 2, the correlation between facial beauty and affective evaluations was analyzed, and the correlation between facial beauty and sharp factor was significant. In study 3, we made the new images by morphing and warping the faces: 'average', 'high-ranked', and 'exaggerated'. The participants evaluated the 'high-ranked' face more beautiful than the 'average' face, and the 'exaggerated' face more beautiful than the 'high-ranked' face. The rating of affective words on the faces showed that the 'average' face was related to 'soft' impression, the 'high-ranked' image to 'sharp' impression, and the 'exaggerated' face might have double impression. These results might support the directional hypothesis for the facial beauty.

• Journal of The Korean Association For Science Education
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• v.29 no.8
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• pp.990-1010
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• 2009

To derive brain-based evolutionary educational principles, this study examined the studies on the structural and functional characteristics of human brain, the biological evolution occurring between- and within-organism, and the evolutionary attributes embedded in science itself and individual scientist's scientific activities. On the basis of the core characteristics of human brain and the framework of universal Darwinism or universal selectionism consisted of generation-test-retention (g-t-r) processes, a Model of Brain-based Evolutionary Scientific Teaching for Learning (BEST-L) was developed. The model consists of three components, three steps, and assessment part. The three components are the affective (A), behavioral (B), and cognitive (C) components. Each component consists of three steps of Diversifying $\rightarrow$ Emulating (Executing, Estimating, Evaluating) $\rightarrow$ Furthering (ABC-DEF). The model is 'brain-based' in the aspect of consecutive incorporation of the affective component which is based on limbic system of human brain associated with emotions, the behavioral component which is associated with the occipital lobes performing visual processing, temporal lobes performing functions of language generation and understanding, and parietal lobes, which receive and process sensory information and execute motor activities of the body, and the cognitive component which is based on the prefrontal lobes involved in thinking, planning, judging, and problem solving. On the other hand, the model is 'evolutionary' in the aspect of proceeding according to the processes of the diversifying step to generate variants in each component, the emulating step to test and select useful or valuable things among the variants, and the furthering step to extend or apply the selected things. For three components of ABC, to reflect the importance of emotional factors as a starting point in scientific activity as well as the dominant role of limbic system relative to cortex of brain, the model emphasizes the DARWIN (Driving Affective Realm for Whole Intellectual Network) approach.

• Journal of Computing Science and Engineering
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• v.10 no.4
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• pp.103-110
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• 2016

Emotion recognition is an important component of affective computing, and is significant in the implementation of natural and friendly human-computer interaction. An effective approach to recognizing emotion from text is based on a machine learning technique, which deals with emotion recognition as a classification problem. However, in emotion recognition, the texts involved are usually very short, leaving a very large, sparse feature space, which decreases the performance of emotion classification. This paper proposes to resolve the problem of feature sparseness, and largely improve the emotion recognition performance from short texts by doing the following: representing short texts with word cluster features, offering a novel word clustering algorithm, and using a new feature weighting scheme. Emotion classification experiments were performed with different features and weighting schemes on a publicly available dataset. The experimental results suggest that the word cluster features and the proposed weighting scheme can partly resolve problems with feature sparseness and emotion recognition performance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.2
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• pp.122-129
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• 2014

In this study, emotion-classification gathered from users was performed, classification-experiments were then conducted using SVM(Support Vector Machine) and K-means algorithm. Total 15 numbers of channels; CP6, Cz, FC2, T7. PO4, AF3, CP1, CP2, C3, F3, FC6, C4, Oz, T8 and F8 among 32 members of the channels measured were adapted in Brain signals which indicated obvious the classification of emotions in previous researches. To extract emotion, watching DVD and IAPS(International Affective Picture System) which is a way to stimulate with photos were applied and SAM(Self-Assessment Manikin) was used in emotion-classification to users' emotional conditions. The collected users' Brain-wave signals gathered had been pre-processing using FIR filter and artifacts(eye-blink) were then deleted by ICA(independence component Analysis) using. The data pre-processing were conveyed into frequency analysis for feature extraction through FFT. At last, the experiment was conducted suing classification algorithm; Although, K-means extracted 70% of results, SVM showed better accuracy which extracted 71.85% of results. Then, the results of previous researches adapted SVM were comparatively analyzed.

• Journal of the Korean Institute of Navigation
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• v.16 no.1
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• pp.77-91
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• 1992

How does the youth feel the sea affairs\ulcorner Concerning this question, this paper aims to measure the images of the youth toward the sea affairs - the sea, the ship and the seafarer and to examined the above subject. As sample 3, 250 students of middle and high school were selected by considering geographical environment. The data obtained using Semantic Differential Method were analyzed by principal component analysis, and the obtained factor scores were examined the significance of difference between sex, age and geographical environment. By introducing the principal component analysis, the authors extracted from each of the images, that is, factors of dynamics and affection to the image on these a and the former the factors and pleasure on the ship, and also the former two factors and factor of professional evaluation on the seafarer, The following results are obtained. 1) In the image of the sea, dynamic image of the student in high school were higher than the of the student in middle school in spite of geographic environment and affective image were opposite. 2) In the images of the ship, affective image of the student in middle school and high school in inland were high than the of the male and female student in near the sea. And also, male female students in middle school and male student s in high school of inland showed the highest score to the pleasure image. 3) In the image of the seafare, professional evaluation of the female student in middle school were higher than the others, but the students in high school showed the highest score to dynamic image. Especially, in the case of the majority of students in high school living in the city or town near the, their images of the seafarer were not so good in spite of their explorative experiences about the sea affairs.

• Journal of the Ergonomics Society of Korea
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• v.29 no.1
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• pp.25-31
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• 2010

It is known from consumer surveys that the interior design of cars greatly influences on consumers' affection. Most notably, the instrument panel which occupies the driver's attention while driving would be one of the main components that affect consumer's affection, but the designer does not often put due importance to this design component. The purpose of this study is to define consumers' affection on the instrument cluster panel in terms of its design factors: color of panel lighting and layout of meters as independent factors. Semantic differentials or affective adjectives that are related to the instrument panel were first derived from surveys, existing studies and the available literature. Then, representative affective factors were drawn using factor analysis and multi-dimensional scaling (MDS). Evaluation of the instrument panel was performed and analyzed by Taguchi's robust design to provide more robust results under various noise factors which are color and material of car interior. Experiment revealed that consumers had five affective factors on the instrument panel and luxurious, charming, and visible affections are grouped into a factor and unique and dynamic affections in another factor. Evaluation of the instrument panel by Taguchi's robust design found that the white color of panel lighting and the panel with four meters was the most preferred design in terms of both the affection of luxury and uniqueness.