• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.05a
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• pp.90-93
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• 2003

This study aims to validate the effectiveness of VE system with an arm-master in the evaluation of virtual prototype. A virtual kitchen with a refrigerator was presented in a CAVE system. Subjects put in and pull out virtual objects by using the arm-master. Twelve subjects participated in six experimental conditions: three types of refrigerator door grips and two reaction forces. After each trial, subjects evaluated a virtual refrigerator in terms of easiness of operation, similarity in force, presence etc. The results show the subjects preferred vertical grip than horizontal grip and light reaction force than heavy one. The VE system with the arm-master will be very helpful in the design evaluation of virtual prototypes.

• Science of Emotion and Sensibility
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• v.5 no.3
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• pp.11-20
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• 2002

There are Two new models developed for objective evaluation of fabric color patterns by applying a multiple regression analysis and an adaptive foray-rule-based system. The physical features of fabric color patterns are extracted through digital image processing and the emotional features are collected based on the psychological experiments of Soen[3, 4]. The principle physical features are hue, saturation, intensity and the texture of color patterns. The emotional features arc represented thirteen pairs of adverse adjectives. The multiple regression analyses and the adaptive fuzzy system are used as a tool to analyze the relations between physical and emotional features. As a result, both of the proposed models show competent performance for the approximation and the similar linguistic interpretation to the Soen's psychological experiments.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.04a
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• pp.141-146
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• 1998

This study investigated the evaluation method for the users' color preference of CRT monitors. And also the users' preference of the colors displayed on CRT monitor using the park's color reproduction system was evaluated. Subjects conducted a series of psychophysical experiments to compare the colors displayed on a CRT monitor using the park's system to the colors without the system, Three evaluation methods were investigated: comparing one colors of same hue with diverse luminance and saturation. the results showed that subjects preferred the colors reproduced using the park's system, and thd evaluation methods significantly affected thd color preference.

• Science of Emotion and Sensibility
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• v.4 no.1
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• pp.23-31
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• 2001

Psychological and physiological effects from simulator sickness could be an important bias factor for sensibility evaluation. The present experiment investigated the effects of simulator sickness on sensibility evaluation in the controlled condition of driving a car for 60 minutes on a constant speed (60km/h) in graphic simulator. The simulator sickness was measured and analysed for every five minutes using their subjective evaluation and physiological signals. Results of the subjective evaluation showed that there was significant difference between rest and driving condition at 10 minutes from the start of driving, and the level of difference was increased linearly with time. The analysis on central and autonomic nervous systems showed the significant difference between rest and driving conditions after 5 minutes from the start of the driving on the parameters $\alpha$/total and $\beta$/total, and increased level of sympathetic nervous system. But there was no significant difference between different time conditions. The results indicates that physiological changes from simulator sickness can be a bias factor in objective evaluation of human sensibility which also, uses physiological signals. That is, the changes on the parameter $\alpha$/total and $\beta$/total, and on activation level of sympathetic nervous system from simulator sickness can be a bias factor for evaluation of the level of pleasantness and tension. Therefore the effort on improving the analysis by minimizing or eliminating the bias factors should be done for better and accurate sensibility evaluation in simulator environments.

• Journal of the Ergonomics Society of Korea
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• v.23 no.2
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• pp.37-54
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• 2004

Fuzzy theory provides an intelligence treatment model for judgement about information when it needs a solution or a decision making about vague problems. Therefore, fuzzy theory is used for appropriate evaluation and decision on obscure information as human's emotion in human factors, In previous study, fuzzy membership function is defined for judgement infOlmation as human's emotion then ultimate results are deducted through fuzzy inference model. This method uses general CWTent through literature review or max, min and average as representative statics value about considering variables. But, this method makes away with nonlinear's or inegular's factors of human sensibility. Accordingly, application of this method leads to considerable loss of information in the ultimate evaluation. For that reason, this method has a limitation in objective evaluation of human factors. So, this study focuses on development of fuzzy membership function, which evaluates human's emotion or feeling accurately and objectively. We used the regression analysis and reasoned a fuzzy membership function about the relation of the variables. Then we verified the adequacy with the reliability through the experiment after this.

• Journal of the Ergonomics Society of Korea
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• v.26 no.3
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• pp.17-25
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• 2007

'Emotional value' has been a buzz word for design and ergonomics in the era of business innovation. However, the complication of 'emotion' in terms of literal and practical meaning has made it a challenging but confusing task for designers to develop a new product with emotional value. 'Sensibility' and 'emotion' are interchangeable terms to describe human feeling ('gamsung' in Korean). The confusion reached at its peak with Korean terms. Even scholars in Korean language, psychologists, ergonomists, and designers are bewildered at the choice of proper expression for human feeling in both Korean and English. The difficulty could explain the problems in 'sensibility ergonomics' in Korea. The purpose of this paper is to provide both fundamental and satisfying information with people in the area of 'sensibility ergonomics'. Therefore, in this paper, a number of articles and books on sensibility, psychology, sensibility ergonomics, and design were reviewed to clarify the meaning of sensibility and relationship among similar words that have been used with unintentional misunderstanding. Also many adjectives on human sensibility were collected and complied for the use of sensibility evaluation.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.74-77
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• 2008

Online shoppers are not able to try clothing on. Therefore, the pictures of clothing on the website play a significant role when shoppers make decision on their purchase. There are generally three different ways to show clothing at online shops. The first one is showing only clothing images, and the second one is showing the pictures that have actual fitting models wearing clothing on (In this case, Model's face is mostly not shown in the picture.), and the third is showing the pictures of professional fitting models who wear goods. The shopping malls adopt each of the different ways but little is known about affect on purchasing from these three ways. The aim of this study is to figure out how the online shopper's emotional status is affected by these three ways of presenting pictures of clothing. At first, we developed a set of adjective words of human emotion to set up the evaluation criteria for user's emotional status. Those adjectives are originally from the precedent research on human emotion. To cut 99 adjectives down to a proper number for the criteria, we conducted a preliminary survey, and finally, 5 adjectives are selected as appropriate criteria for evaluating users' emotional status while they are shopping. Those five adjectives are 'possess','sensual', 'unique', 'tasteful', and 'stylish'. Then, we conducted the main survey showing 10 kinds of cloth (each cloth was consist of 3 ways). And in the page of model images, we measured the model's preference for understanding the relation with customer's emotion criteria of the product. As a result of the test there was statistically significant difference between product only images and anonymous images, but there was no significant difference between anonymous images and model images. And the preference of the model and value of the emotion criteria have large correlation except 'unique' criteria. It is expected that the result in this study will help to build new marketing strategy which satisfy customers' emotion.

• Journal of IKEEE
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• v.22 no.4
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• pp.1140-1146
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• 2018

Recently, a methodology for analyzing complex bio-signals using a deep learning model has emerged among studies that recognize human emotions. At this time, the accuracy of emotion classification may be changed depending on the evaluation method and reliability depending on the kind of data to be learned. In the case of biological signals, the reliability of data is determined according to the noise ratio, so that the noise detection method is as important as that. Also, according to the methodology for defining emotions, appropriate emotional evaluation methods will be needed. In this paper, we propose a wavelet -based noise threshold setting algorithm for verifying the reliability of data for multimodal bio-signal data labeled Valence and Arousal and a method for improving the emotion recognition rate by weighting the evaluation data. After extracting the wavelet component of the signal using the wavelet transform, the distortion and kurtosis of the component are obtained, the noise is detected at the threshold calculated by the hampel identifier, and the training data is selected considering the noise ratio of the original signal. In addition, weighting is applied to the overall evaluation of the emotion recognition rate using the euclidean distance from the median value of the Valence-Arousal plane when classifying emotional data. To verify the proposed algorithm, we use ASCERTAIN data set to observe the degree of emotion recognition rate improvement.

• Science of Emotion and Sensibility
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• v.16 no.1
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• pp.11-28
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• 2013

This article aims to explore the interactive roles of types of primed identity (local versus global identity) and types of ad framing on brand evaluations. The authors designed 2 experiments in which each experiment followed a $2{\times}2$ between-subject design. The empirical results showed that a gain-framed ad induced more positive emotional responses than a loss-framed ad, and the positive affective responses lead to more favorable brand evaluation. Furthermore, the results showed that there were interactive effects of primed identity and types of advertisement frame on brand evaluation. In the additional analysis, the results showed that when people with local identity were exposed to the gain-framed ad, they would engage in a higher level of integration processing than those in the control group, which in turn induced more favorable evaluation to the local brand. That is, the integration processing mode played a mediating role between the interaction (local id priming ${\times}$ ad frame) and the local brand evaluation. However, in the case of global brand evaluation, the integration processing mode did not play such a mediating role.

• Science of Emotion and Sensibility
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• v.17 no.1
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• pp.79-92
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• 2014

This study is aimed at minimizing the errors in using a sensitivity evaluation model that could occur when sensitivity analysis method is actively used for design evaluation. To extract words of a contrantion-type model by product, interior space, and streetscape design, primary word refinement was conducted with the words extracted from preceding studies. The analysis revealed that 19 words were used in all three fields. A reliability analysis revealed that different words had a bad impact on the reliability in each field. The applicability was reviewed through reliability analysis of EPA model as contraction-type and PAD model as inference-type. The results are as follows. Although the reliability of the contrantion-type model was higher than that of inference-type model in all three fields, the differences in Cronbach's Alpha were small. Also, When the reliability was analyzed after deleting the words that had a bad impact on reliability, the differences in the reliability's coefficients were clearly significant. Therefore, it is necessary to select words suitable for sensitivity evaluation target and objectivity of the evaluation can be boosted by using a proper model. Analysis of the sensitivity evaluation model suitable for future environmental evaluation should be analyzed with various statistical methods, beyond verification of reliability.