• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.61-68
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• 2010

The objective of this study was to test the estimation possibility of driver's stress degrees with the HRV analysis. For this, first, HRV analysis was applied to the 5 driver's ECG signals which were acquired in 7 different stress situations. From this, the facts that HRV trend was different from that in long-distance driving and 6 parameters - meanRR, sdRR, HF, LF/HF, LFnorm, HFnorm were useful for the stress estimation in stress varying driving situation. Next, we designed 5 personalized linear regression models in which 6 HRV parameters were input and the outcomes were 7 different stress degrees. Finally, we tested each model for 5min-long 16 segments individually. Consequently, the models could not hit the stress degrees exactly in some segments but the correlation coefficients between original stress pattern and estimated stress pattern during entire driving showed reasonably high.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.11a
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• pp.225-229
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• 1998

The purpose of the current study was comparative analysis of autonomic and electrocortical responses to passive and active touch of the tektites with different subjective emotional preference. Perspective goal of the project is development of a template for classification of tactile stimuli according to subjective comfort and associated physiological manifestations. The study was carried out on 36 female college students. Physiological signals were acquired by Grass and B10PAC 100 systems with AcqKnowledge III software. Frontal, parietal and occipital EEG (relative power spectrum /percents/ of EEG bands - delta, theta, slow and fast alpha, low and fast beta), and autonomic variables, namely heart rate (HR), respiratory sinus arrhythmia (RSA), pulse transit time (PTT), respiration rate (RSP) and skin conductance parameters (SCL, amplitude, rise time and number of SCRs) were analyzed for rest baseline and stimulation conditions. Analysis of the overall pattern of reaction indicated that autonomic response to tactile stimulation was manifested in a form of moderate HR acceleration, RSP increase, RSA decrease (lowered vagal tone), decreased n and increased electrodermal activity (increased SCL, several SCRs) that reflects general sympathetic activation. Parietal EEG effects (on contra-lateral side to stimulated hand) were featured by short-term alpha-blocking, slightly reduced theta and significantly increased delta and enhanced fast beta activity with few variations across stimuli. The main finding of the study was that most and least preferred textures exhibited significant differences in autonomic (HR, RSP, PTT, SCR, and at less extent in RSA and SCL) and electrocortical responses (delta, slow and fast alpha, fast beta relative power). These differences were recorded both in passive and active stimulation modes, thus demonstrating reproducibility of distinction between most and least emotionally preferred tactile stimuli, suggesting influence of psychological factors, such as emotional property of stimulus, on physiological outcome. Nevertheless, development of sufficiently sensitive .and reliable template for classification of emotional responses to tactile stimulation based on physiological response pattern may require more extensive empirical database.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.11a
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• pp.73-80
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• 2000

The paper is addressed to the topic of physiological response-specificity in disgust induced by visual stimulation. The purpose of this study was to evaluate reproducibility of physiological reactivity pattern during disgust elicited by the International Affective Pictures System (IAPS) in 2 experiments. Twenty-nine subjects participated in the first experiment with 3 visual stimulation sessions with disgust-eliciting slides (3 slides in each 1 min long session). In the second experiment disgust-eliciting slides from the IAPS were presented to 42 subjects in 2 sessions (one slide for 1 min). Spectral power of frontal EEG, skin conductance (SCL, SCR and NS.SCR), heart rate(HR), heart period variability(HPV) and respiration rate were recorded. Visual stimulation evoked 1:.n deceleration, higher power of high frequency component of HPV, increased SCL and NS.SCR frequency, frontal slow alpha blocking and moderate increase in fast beta power in most of the sessions in both experiments. However in the second experiment the EEG pattern associated with disgust showed inconsistent shifts in fast alpha and slow beta bands, but was marked by higher power of theta activity. Our data in both experiments emphasizes presence of disgust-specific profiles of autonomic and at the less extent EEG responses in visual stimulation context. Discussed are potential behavioral mechanisms leading to observed physiological manifestations in disgust elicited by visual stimulation. The results support the consideration that disgust is an withdrawal type negative valence emotion associated with relatively low autonomic arousal (low HR, low amplitude SCRs with relatively high NS.SCR frequency) and moderate EEG activation signs. Obtained data showed more consistent reproducibility of disgust-specific autonomic rather than EEG response patterns during visual stimulation design.

• Science of Emotion and Sensibility
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• v.20 no.1
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• pp.75-82
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• 2017

We propose a novel method for modeling emotional dimensions using expansion of Russell's (1980) emotional dimensions (Circumplex Model). The Circumplex Model represents emotional words in two axes (Arousal, Valence). However, other researchers have insisted that location of word in Russell's model which is expressed by single point could not represent exact position. Consequently, it is difficult to apply this model in engineering fields (such as Science of Emotion & Sensibility, Human-Computer-Interaction, Ergonomics, etc.). Therefore, we propose a new modeling method which expresses emotional word not as a single point but as a region. We conducted survey to obtain actual data and derived equations using ellipse formula to represent emotional region. Furthermore, we applied ANEW and IAPS which are commonly used in many studies to our emotional model using pattern recognition algorithm. Using our method, we could solve problems with Russell's model and our model is easily applicable to the field of engineering.

• Science of Emotion and Sensibility
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• v.9 no.spc3
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• pp.243-249
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• 2006

There are many CAD commercial systems such as fabric design CAD for fabric designers and pattern design CAD including visual wearing system for garment designers. But there is no fabric design system for weaving factory, so the data base system related to the fabric design for weaving factory is needed. Therefore, in this study, as a preliminary study of the data base system for fabric design, easy decision of warp and weft densities according to the various yarn count, weave constructions and materials were surveyed through analysis of design plan for nylon and polyester fabrics from wearing factories.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.11a
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• pp.158-163
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• 2001

본 논문의 국내 패션 업체에서 상품기획 과정 중 많은 시간과 노력을 투자해야 했던 디자인 및 패턴 자료를 데이터베이스화하여 key word를 통해 효율적으로 찾아 사용할 수 있도록 한 디지털 여성 자켓 분류 데이터베이스 시스템을 개발하고자 실시되었다. 이를 위해 의류업체 종사자 48명과 의류학 전공 대학원생 54명, 패턴 전문가 11명을 대상으로 설문조사 및 인터뷰를 실시하여 디자인 및 패턴의 분류 기준과 의류 생산기획 업무의 디지털화 가능성을 검토하였다. 본 연구의 결과는 다음과 같다. 국내 의류업체에서는 상품기획시 국외패션잡지와 collection지를 가장 많이 활용하고 있었으며, 디자인 및 패턴 DB 프로그램에 대한 효용성 기대와 수용도 기대에는 집단간 유의한 차이가 있는 것으로 나타났다. 여성 자켓 디자인 DB를 위한 구성요소 분류 기준은 7가지고 선정되었고, 이미지 형용사 분류 기준은 6가지로 선정되었다. 또한 자켓 제작을 위한 block pattern 분류 기준은 4가지로 선정되었다. 본 연구를 통해 개발된 자켓 디자인 선택 프로그램의 모델을 제시한 후 실험 참가자들에게 효용성 및 사용가능성을 다시 검증한 결과, 프로그램 제시 전 조사결과보다 유의하게 긍정적으로 평가되었으며, 데이터베이스 자료 활용시 이미지 형용사를 통한 검색보다는 구성요소를 통한 검색에 더 만족하는 것으로 나타났다.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.14 no.11
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• pp.1195-1202
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• 2004

The international competition in refrigerator markets has continuously required the research for sound quality of a refrigerator to improve the quality of a life. In this paper, A new method for evaluation of the sound quality of a refrigerator is developed based on human sensibility engineering by using ANN(artificial neural network). In this paper, the loudness and the sharpness of the refrigerator's signals was used for the input value in ANN's training process because the loudness and the sharpness has a good correlation between the output of the ANN and the target of the individual evaluation In the training process. Two input factor was used repeatedly in the training process to get more optimum weighting value. And then finally we developed the sound quality index of a refrigerator. The developed sound quality index was confirmed by the 96.5 % of correlation between the output of the ANN and the real evaluation. It will be applied to evaluate the sound quality of a refrigerator in the industry.

• 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.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.314-319
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• 2002

To inspect how the different sensitivities in BAS (or BIS) moderate on the HRV pattern stimulated by positive or negative affective sound, we measured the electrocardiogram (ECG) of 25 students, consisted of 4 groups depending on the BAS (or BIS) sensitivity, while listening music or being exposed to noise. The power spectral density of HRV was derived from the ECG, and the power of HRV was calculated for 3 major frequency ranges (low frequency [LF], medium frequency [MF], and high frequency [HF]). We found that the index MF/(LF+HF), while listening music, was 20 % higher in the individuals with a low BIS but high BAS than in the individuals with a low sensitivity In both BIS and BAS. Moreover, in the former group this index was 30 % higher while listening music than while being exposed to noise. From these results we suggest that individuals with a low BIS but high BAS be more sensitive to positive affective stimuli than other groups, and the index MF/(LF+HF) be applicable to evaluate positive affects.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.195-200
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• 2002

ART (Adaptive Resonance Theory [1]) neural network and its variations perform non-hierarchical clustering by unsupervised learning. We propose a scheme "arboART" for hierarchical clustering by using several ART1.5-SSS networks. It classifies multidimensional vectors as a cluster tree, and finds features of clusters. The Basic idea of arboART is to use the prototype formed in an ART network as an input to other ART network that has looser distance criteria (Ishihara, et al., [2,3]). By sending prototype vectors made by ART to one after another, many small categories are combined into larger and more generalized categories. We can draw a dendrogram using classification records of sample and categories. We have confirmed its ability using standard test data commonly used in pattern recognition community. The clustering result is better than traditional computing methods, on separation of outliers, smaller error (diameter) of clusters and causes no chaining. This methodology is applied to Kansei evaluation experiment data analysis.