• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2699-2701
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• 2004

This paper describes a new algorithm for human sensibility evaluation using two personality-group templates of electroencephalogram (EEG) signals. EEG signals of two groups arc collected in relaxed state, comfortable state and uncomfortable state. First of all, the characteristics of EEGs in relaxed state for two groups are compared. After verification of the results, an algorithm for sensibility evaluation is developed. In comparison of the characteristics for two personality-group EEG signals. there are distinct difference between the EEG patterns of the extrovert and the introvert. Upon these findings, the algorithm for human sensibility evaluation is designed. The results of the algorithm showed 90.0% of coincidence with given tasks. This seems to be compromising results for subject independent sensibility evaluation using EEG signal.

• Science of Emotion and Sensibility
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• v.7 no.1
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• pp.51-64
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• 2004

In this paper, we propose a web page retrieval system based on the sensibility evaluation induced by the color combination of web pages. The realized system consist of two modules - the indexing module that automatically extracts and indexes the color information from the web page and the retrieval module that retrieves web pages based on the color combination when sensibility adjective is presented. Also, to verify the system usefulness, we analyzed the ranking of web pages retrieved by the system and by human subjects (non-expels and experts for color web page design) using two statistical methods of correlation and paired-t test. Results by non-experts showed the realized system was suitable for 10 sensibility adjectives among 18 sensibility adjectives, and results by experts showed that the realized system was suitable for 14 sensibility adjectives among 18 sensibility adjectives.

• Korean Institute of Interior Design Journal
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• v.18 no.6
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• pp.69-76
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• 2009

As sensibility ergonomics are broadly spread, recently in interior design area, interests on roles of sensibility, sensibility effects for users, and etc has been increased. As a study on sensibility design for interior design area, the study applied sensibility ergonomics technique to bathroom interior design. Sensibility ergonomics technique is integrated into each phase of bathroom design process in order to produce 4 design alternatives. Sensibility evaluation on design alternatives was performed for subject of designers, and analyzed the results to show the relationship between sensibility of designers and design factors and to identify characteristics of designer's sensibility structure. The results of the study are as follows. First, it's found that in the bathroom interior design of sustainable concept, uses of bright colors with white tone and floor tile creates positive sensibility responses such as delight, healthiness, spaciousness, and cheerfulness. Second, designers' sensibility structure about sustainable bathroom is composed of three axles, healthiness, eco-friendliness, and refinement. Third, designers think colors of interior and finished materials is most important, and window, artificial lighting, layout, and space size related to those is important too. The process and approach in the study might contribute to building a fundamental of sensibility design research in interior design area.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.19-20
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• 2011

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.11a
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• pp.172-177
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• 1998

For making high-functional illumination environment and pleasantness to human beings, it is needed to analyze optical characteristics from lightsource as well as to analyze and examine emotional characteristics which respond to optical characteristics systematically. Also, it is Possible to classify lightsource according to function and use based on optical and emotional characteristics systematically and these results can be applied to practical data for professional illumination design field. The aim of this study is to develop technique for evaluating sensibility as well as to accumulate sensibility database through measuring and evaluating emotional reaction to optical characteristics from lightsource. Final aim of this study is to develop simulation and evaluation technique for interior illumination environment, the outline of this paper : 1) operating simulator for various illumination environment 2) developing evaluation methodology for evaluating illumination environment 3) preparing sensibility index through evaluation and analysis The process of this study is as follows. 1) Developing optical evaluation item of lightsource 2) Developing emotional evaluation item of lightsource 3). Analyzing, correlation between optical evaluation item and emotional eveluation item 4) Classifying and selecting object for evaluation 5) Optical measuring and evaluating for lightsource 6) Operating Simulator for illumination environment 7) Emontional measuring and evaluating lightsource and color 8) Developing estimative formula and sensibility index of emotional reaction The results of this study are as follows. 1. Simulator is operated for various illumination environment, and it is proved to be applicable to actual environment. 2. Evaluation and Analysis Techniques is developed for emotional measurement about illumination environment. 3. Estimative formula and sensibility index are prepared, which can estimate the characteristic of lightsource and emotional reaction to interior color

• Journal of the Ergonomics Society of Korea
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• v.23 no.1
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• pp.1-12
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• 2004

The purpose of this study was to develop an automatic expert system for the evaluation of human sensibility, where human sensibility can be inferred from objective physiological signals. The study aim was also to develop an algorithm in which human arousal and pleasant level can be judged by using measured physiological signals. Fuzzy theory was applied for mathematical handling of the ambiguity related to evaluation of human sensibility. and the degree of belonging to a certain sensibility dimension was quantified by membership function through which the sensibility evaluation was able to be done. Determining membership function was achieved using results from a physiological signal database of arousal/relaxation and pleasant/unpleasant that was generated from imagination. To induce one final result (arousal and pleasant level) based on measuring the results of more than 2 physiological signals and the membership function of each physiological signal. Dempster-Shafer's rule of combination in evidence was applied, through which the final arousal and pleasant level was inferred.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.51 no.11
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• pp.528-534
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• 2002

This paper describes a technique for human sensibility evaluation using EEGs of 4 emotions. The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance suing the proposed method is about 72.6%. This may be promising performance in the human sensibility evaluation.

• Journal of the Korean Home Economics Association
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• v.40 no.1
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• pp.135-146
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• 2002

The Purpose of this study was to identify the sensibility elements and the evaluative dimensions of internet fashion shopping mall to supply optimal experience to the customer. First, association words for internet fashion shopping mall by open-ended method and sensibility-expression-adjective feeling as navigating personally 57 shopping mall dealing with fashion products were collected. Collected adjectives were ranked after making index by frequency and diversity. Then, correlation analysis was executed to extract independent adjective and their opposite words. Semantic differential scale was made for internet-fashion-shopping-mall-evaluation. After preliminary investigation with this scale, factor analysis was implemented. 12 sensibility evaluation words were extracted. Then, 200 subjects evaluated satisfaction degree for 8 selected shopping mall. To explain the hierarchy of internet fashion shopping mall, cluster analysis was applied. The understanding of sensibility element and evaluative dimensions of internet fashion shopping mall can be utilized efficiently as basic materials when marketer plans internet shopping mall design and makes marketing strategy.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2010-2012
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• 2008

This study describes a system for human sensibility evaluation using PPG(photoplethysmogram) signal and biofeedback algorithm to respond the bad(negative) mood. For this objective, PPG signals for two emotional states(positive/negative) are collected. To evoke the test emotions, happy(or joyful) and sad(or irritating) movie files are collected and played in subjects' monitor. From the acquired PPG signal, the heart rate variability(HRV) is calculated. Using the HRV and its FFT spectra, the human sensibility is evaluated. Since the heart is a representative organ which is controlled by the autonomic nervous system(ANS), the ANS may reflect the changes in emotion. The biofeedback algorithm is designed with motion image player interacting with the results of the sensibility evaluation. It was shown that HRV was changed according to the subject's emotions. Accordingly, the sensibility evaluation test showed feasibility of the our method.

• IE interfaces
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• v.12 no.2
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• pp.247-253
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• 1999

The main objective of this study is to quantify the appropriateness of the sensibility vocabularies used in sensibility ergonomic evaluation scheme by applying structural equation model. In the conventional sensibility ergonomic evaluation scheme, factor analysis is employed to classify various vocabularies into some common factors. However, since the vocabularies were chosen quite subjectively, it is difficult to ascertain that they represent the product attributes properly. It was shown in a case study that the structural equation model provides the quantitative results to verify whether the selected vocabularies are eligible for further steps of sensibility ergonomic evaluation.