• Journal of Biomedical Engineering Research
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• v.24 no.4
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• pp.355-361
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• 2003

In the present study, a new Real Time Subjective Evaluation (RTSSE) system was developed. The system is composed of two parts: a sensibility input part and sensibility evaluation part. The sensibility input part receives values, which are recorded on an input board using a stylus and digital tablet, from each subject's evaluation of his/her own subjective sensibility towards a particular stimulus. The sensibility evaluation part displays the level of pleasantness and arousal on one or two dimensions in real time. An experiment was conducted in order to investigate the feasibility and effectiveness of the RTSSE system. The present study compared Galvanic Skin Response (GSR) with the RTSSE by presenting 28 subjects in their 20s with pictures arousing either positive or negative sensibility. Following the experiment, an off-line subjective assessment using a questionnaire was given to the same subjects. According to the correlation coefficients, changes in subjective sensibility caused by the positive visual stimulus were related more closely to GSR, from the positive visual stimulus, and changes in subjective sensibility caused by the negative visual stimulus were related more closely to GSR from the negative visual stimulus. The questionnaire results showed marked similarity to the average responses of the RTSSE. In conclusion, the most remarkable characteristic of the present system is that it not only assesses the average sensibility when stimuli are presented, but also shows the changing strength of sensibility over time.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.05a
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• pp.115-119
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• 2003

본 연구는 인간에 있어서 가장 간단한 의사라고 여겨지는 긍정과 부정 응답에 대해 나타나는 뇌파의 변화를 잘 반영하는 특징을 찾아내고자 하기 위한 것이다. 고차 통계적 방법(high order statical analysis)인 바이스펙트럼(bispectrum)은 뇌파의 다른 부위와 다른 주파수 사이의 비선형위상커플링(non-linear phase coupling)을 잘 반영하므로, 이를 이용하여 긍정이나 부정을 선택할 때 나타나는 뇌파를 분석하였다. 분석결과, 반응 전 1.25초∼0.5초 에 유의미한 차이를 보였다. 긍정과 부정 응답에 대한 뇌파의 주파수와 부위를 찾아 신경회로망의 입력으로 사용하여 긍정과 부정 응답에 대해 분별하였다. 2번의 뇌파실험에서 각각 실험 데이터에 대해서는 긍/부정 차이가 존재하지만 공통적인 특징이 나타나지는 않았다.

• Science of Emotion and Sensibility
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• v.6 no.4
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• pp.41-49
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• 2003

To inspect how the different sensitivities in BAS(or BIS) modulate on the HRV pattern stimulated by positive or negative affective sound, we measured the electrocardiogram(ECG) of 25 students(male : 14), consisted of 4 groups depending on the BAS(or BIS) sensitivity, during listening meditation music or being exposed to noise. The power spectral density(PSD) 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 of MF/(LF+HF), during listening music, was higher significantly in the individuals with a low BIS but high BAS than in the individuals with a low sensitivity in both BIS and BAS. Especially in the former group, there was a tendency that the index was higher during listening music than during being exposed to noise. For individuals with a high BIS, regardless of the BAS sensitivity, the difference of this index values was not significant. From these results we suggest that individuals with a low BIS but high BAS are more sensitive to positive affective stimuli than other groups, and the index of MF/(LF+HF) is applicable to evaluate positive and negative affects.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.11a
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• pp.138-143
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• 2001

본 연구에서는 생환공간에서의 음향감성을 평가하기 위하여 긍정감성을 유발하는 음환경으로서 '명상음악'과 부정감성을 유발하는 음환경으로서 '헬리콥터소음'과 '마루가 삐거덕거리는 소음'을 제시하였을 때 행동활성화체계(BAS)와 행동억제체계(BIS)의 민감성이 서로 다른 집단들을 대상으로 전전두엽의(PFC) 비대칭성과 심장박동율변동성(HRV)을 분석하였다. 연구결과, 명상음악을 청취시에는 안정상태에 비하여 좌측전두엽이 더 활성화되고 HRV의 LF/HF는 감소된 반면에 소음환경에서는 우측전두엽이 더 활성화되고 LF/HF는 더 증가하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.356-360
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• 2007

인터넷이 폭 넓게 보급되어 개인의 의견을 개진할 기회가 확대됨에 따라 정치, 경제 등의 사안이나 제품 기업의 이미지, 공인에 대한 긍정.부정의 글을 개진할 수 있게 되었다. 이러한 현상에 따라 기업, 제품, 혹은 공공의 분야에서 일반 개인들이 어떻게 생각하는가에 대한 분석 및 자료수집의 필요성이 높아지고 있다. 감성용어 문서분류시스템은 문서의 내용 중 감성기반의 용어들에 기반하여 이에 대한 패턴을 정의하고 이에 대응하는 범주에 문서를 자동으로 할당하는 작업으로써 효율적인 정보 관리 및 검색을 가능하게 한다. 하지만 자동문서 분류를 하기 위해서는 방대한 양의 데이터를 수집 보관하기 위한 분산 환경이 반드시 필요하다. 본 논문에서는 감성기반 문서분류 시스템을 위한 감성용어 추출 및 긍정, 부정의 패턴을 검색해 자동 문서분류를 위해 RTI(Run Time Infrastructure)를 통한 분산 시스템 환경으로 구성하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3925-3932
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• 2013

Emotion is closely related to the life of human, so has effect on many parts such as concentration, learning ability, etc. and makes to have different behavior patterns. The purpose of this paper is to extract important features based on physiological signals to recognize negative emotion. In this paper, after acquisition of electrocardiography(ECG), electroencephalography(EEG), skin temperature(SKT) and galvanic skin response(GSR) measurements based on physiological signals, we designed an accurate and fast algorithm using combination of linear discriminant analysis(LDA) and genetic algorithm(GA), then we selected important features. As a result, the accuracy of the algorithm is up to 96.4% and selected features are Mean, root mean square successive difference(RMSSD), NN intervals differing more than 50ms(NN50) of heart rate variability(HRV), ${\sigma}$ and ${\alpha}$ frequency power of EEG from frontal region, ${\alpha}$, ${\beta}$, and ${\gamma}$ frequency power of EEG from central region, and mean and standard deviation of SKT. Therefore, the features play an important role to recognize negative emotion.

• Journal of Industrial Convergence
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• v.22 no.4
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• pp.57-64
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• 2024

This study was to confirm the effect of emotional intelligence on organizational commitment of general hospital nurses and the mediating effect of affect. Data was collected using a structured online self-report questionnaire on emotional intelligence, organizational commitment, and both negative and positive affect from 236 nurses working in general hospitals. The data collected were analyzed using descriptive statistics, Pearson's correlation, and a parallel multiple mediation model. This analysis was conducted with IBM SPSS Statistics (Version 27.0) and the PROCESS macro (Model 4). This study's findings revealed that emotional intelligence was significant correlated with positive affect, negative affect, and organizational commitment. Emotional intelligence had a significant direct effect on positive affect (β=.16, p=.015), negative affect (β=-.28, p<.001), and organizational commitment (β=.33, p<.001). Positive affect (β=.20, p=.001) and negative affect (β=-.25, p<.001), had a significant direct effect on organizational commitment. And the mediating effect of positive affect (β=.03, 95% bootstrap CI=0.01~0.07) and negative affect (β=.07, 95% bootstrap CI=0.03~0.12) was also significant. Based on these research results, it will be necessary to research various training programs that can manage emotional intelligence and affect together in developing programs to improve nurses' organizational commitment.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.463-471
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• 2014

In this paper, emotion classification was performed by using four ocular features extracted from near-infrared camera image. According to comparing with previous work, the proposed method used more ocular features and each feature was validated as significant one in terms of emotion classification. To minimize side effects on ocular features caused by using visual stimuli, auditory stimuli for causing two opposite emotion pairs such as "positive-negative" and "arousal-relaxation" were used. As four features for emotion classification, pupil size, pupil accommodation rate, blink frequency, and eye cloased duration were adopted which could be automatically extracted by using lab-made image processing software. At result, pupil accommodation rate and blink frequency were statistically significant features for classification arousal-relaxation. Also, eye closed duration was the most significant feature for classification positive-negative.

• Proceedings of the ESK Conference
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• 2004.10a
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• pp.17-17
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• 2004

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.11a
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• pp.255-259
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• 2001

본 연구에서는 긍/부정 판단 과제 시 연령간 뇌파 반응의 차이를 밝히고자 한다. 실험 대상의 연령은 10명(20대 5명, 60대 5명)이었으며, 모두 오른손잡이였다. 실험과제는 의미과제와 일화과제로 구분되며 각각 12문항으로 구성된다. 의미기억과제 덧셈문제를, 일화기억 과제는 도형을 이용하였으며, 마우스 버튼을 눌러 긍/부정 판단 반응을 하도록 하였다. 뇌파는 PE1, PF2, F3, F4, O1, O2에서 단극유도법으로 측정되었으며, EOG를 측정하여 뇌파분석 시에 눈 깜박임으로 인하 noise를 제거하도록 하였다. 뇌파 분석은 원자료를 FFT(Fast Fourier Transformation)를 수행하여 각 대역의 상대적인 power를 구하는 방법으로 이루어졌다. 분석 결과, 반응 시간은 긍/부정판단간의 차이는 없었으나, 두 과제 모두에서 연령별로 유의미한 차이가 있었다. 긍/부정판단간의 따른 뇌파 반응은 명확한 차이가 나타나지 않았다. 연령에 따른 뇌파반응은 theta파, slow beta, fast beta에서 유의한 차이가 나타났다.