• Journal of Oriental Neuropsychiatry
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• v.32 no.3
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• pp.155-166
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• 2021

Objectives: To analyze correlation between CSEI-S and MMPI-2 subscales to provide evidence for clinical application of the CSEI-S. Methods: Survey data of CSEI-S and MMPI-2 from 109 university students were analyzed. Demographic characteristics were subjected to descriptive analysis. Mann-Whitney U test and Pearson's correlation analysis were performed for CSEI-S and MMPI-2 scores. Results: The CSEI-S scale Joy (喜) showed a negative correlation with MMPI-2 clinical scales Hs, D, Hy, Pd, Pa, Pt, Sc, and Si. Six negative emotion scales of the CSEI-S showed positive correlations with MMPI-2 clinical scales except Mf and Ma. The CSEI-S scale Joy (喜) showed negative correlations with MMPI-2 restructured clinical scales RCd, RC1, RC2, and RC7. Six negative emotion scales of the CSEI-S showed positive correlations with restructured MMPI-2 clinical scales. The 60T-and-over group of MMPI-2 clinical scales D, Pd, Pa, Pt, Sc, Si, and Si showed significantly higher negative emotions than other groups. The 60T-and-over group of MMPI-2 scales D, Pt, Sc, and Si showed significantly lower Joy (喜) score than other groups. The 60T-and-over group of MMPI-2 restructured clinical scales RCd, RC2, RC3, RC6, RC7, RC8, and RC9 showed significantly higher negative emotions than other groups. The 60T-and-over group of MMPI-2 scales RCd, RC6, and RC7 showed significantly lower Joy (喜) scores than others. Conclusions: The CSEI-S showed consistent results with the original CSEI and MMPI-2 subscales. Thus, is a useful diagnostic tool in clinical practice.

• Journal of Oriental Neuropsychiatry
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• v.32 no.1
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• pp.13-23
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• 2021

Objectives: This study was conducted to investigate the emotional characteristics of adults who complained of fatigue using the Core Seven Emotion Inventory-Short Form (CSEI-s) followed by correlation analysis with the Chalder fatigue scale (CFQ) and Psychosocial Well-being Index-Short form (PWI-SF). Methods: In this study, the medical records of 45 participants who complained of fatigue and completed the CSEI-s, CFQ, and PWI-SF were evaluated. Records of a total of 45 adults were analyzed using SPSS (Statistical Package for the Social Sciences, Version 25.0). Frequency Analysis, Descriptive Analysis, Independent t-test, One Way ANOVA, and Correlation analysis were used for data analysis. Results: 1. According to the educational status of the participants, Thought (思) was identified to be significantly higher in below college graduate than in graduate school and above. 2. As the period of complaining of fatigue increased, a significant difference was observed in Depression (憂) and Fright (驚). 3. According to the degree of fatigue, there was a significant difference in Depression (憂) and Fright (驚), and especially Depression (憂) was higher in the middle fatigue group than in the low fatigue group. 4. PWI-SF, Anger (怒), Depression (憂), and Sorrow (悲) showed a positive correlation with CFQ scores. Conclusions: The results suggest that CSEI-s can be used to measure the psychological symptoms of a patient with fatigue.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.37-48
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• 2019

Current research explores the effect of language on the perception of facial emotion as suggested by the psychological construction theory of emotion by using a psychophysical method. In this study, we hypothesize that the perception of facial expression may be influenced if the observer is shown an affective word before he/she judges an expression. Moreover, we suggest that his/her understanding of a facial emotion will be in line with the conceptual context that the word denotes. During the two experiments conducted for this project, a control stimulus or words representing either angry or happy emotions were briefly presented to participants before they were shown a target face. These target faces were randomly selected from seven faces that were gradually morphed to show neutral to angry (in Experiment 1) and neutral to happy (in Experiment 2) expressions. The participants were asked to perform a two-alternative forced choice (2AFC) task to judge the emotion of the target face (i.e., decide whether it is angry or neutral, or happy or neutral). The results of Experiment 1 (when compared with the control condition) showed that words denoting anger decreased the point of subjective equality (PSE) for judging the emotion of the target as anger, whereas words denoting happiness increased the PSE. Experiment 2, in which participants had to judge expressions on a scale from happy to neutral, produced a contrasting pattern of results. The outcomes of this study support the claim of the psychological construction theory of emotion that the perception of facial emotion is an active construction process that may be influenced by information (such as affective words) that provide conceptual context.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.773-777
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• 2009

In recent years, the field of synthesizing voice has been developed rapidly, and the technologies such as reading aloud an email or sound guidance of a car navigation system are used in various scenes of our life. The sound quality is monotonous like reading news. It is preferable for a text such as a novel to be read by the voice that expresses emotions wealthily. Therefore, we have been trying to develop a system reading aloud novels automatically that are expressed clear emotions comparatively such as juvenile literature. At first it is necessary to identify emotions expressed in a sentence in texts in order to make a computer read texts with an emotionally expressive voice. A method on the basis of the meaning interpretation that utilized artificial intelligence technology for a method to specify emotions of texts is thought, but it is very difficult with the current technology. Therefore, we propose a method to determine only emotion every sentence in a novel by a simpler way. This method determines the emotion of a sentence according to an emotion that words such as a verb in a Japanese verb sentence, and an adjective and an adverb in a adjective sentence, have. The emotional characteristics that these words have are prepared beforehand as a emotional words dictionary by us. The emotions used here are seven types: "joy," "sorrow," "anger," "surprise," "terror," "aversion" or "neutral."

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.35-43
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• 2023

Emotion recognition while driving is an essential task to prevent accidents. Furthermore, in the era of autonomous driving, automobiles are the subject of mobility, requiring more emotional communication with drivers, and the emotion recognition market is gradually spreading. Accordingly, in this research plan, the driver's emotions are classified into seven categories using psychological and behavioral data, which are relatively easy to collect. The latent vectors extracted through the auto-encoder model were also used as features in this classification model, confirming that this affected performance improvement. Furthermore, it also confirmed that the performance was improved when using the framework presented in this paper compared to when the existing EEG data were included. Finally, 81% of the driver's emotion classification accuracy and 80% of F1-Score were achieved only through psychological, personal information, and behavioral data.

• Korean Journal of Biological Psychiatry
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• v.29 no.1
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• pp.15-21
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• 2022

Objectives Maltreatment experiences can alter brain function related to emotion regulation, such as cognitive reappraisal. While dysregulation of emotion is an important risk factor to mental health problems in maltreated people, studies reported alterations in brain networks related to cognitive reappraisal are still lacking. Methods Twenty-seven healthy subjects were recruited in this study. The maltreatment experiences and positive reappraisal abilities were measured using the Childhood Trauma Questionnaire-Short Form and the Cognitive Emotion Regulation Questionnaire, respectively. Twelve subjects reported one or more moderate maltreatment experiences. Subjects were re-exposed to pictures after the cognitive reappraisal task using the International Affective Picture System during fMRI scan. Results The maltreatment group reported more negative feelings on negative pictures which tried cognitive reappraisal than the no-maltreatment group (p < 0.05). Activities in the right superior marginal gyrus and right middle temporal gyrus were higher in the maltreatment group (uncorrected p < 0.001, cluster size > 20). Conclusions We found that paradoxical activities in semantic networks were shown in the victims of maltreatment. Further study might be needed to clarify these aberrant functions in semantic networks related to maltreatment experiences.

• Journal of Families and Better Life
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• v.20 no.2
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• pp.123-134
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• 2002

This study examined the effects of children′s personality traits on children′s emotional intelligence. The Subjects were 1060 5th graders of elementary schools located in four cities of Seoul, Suwon, Daejeon, and Daegu, Korea. The results indicated that girls in general showed more of the positive personality traits and higher emotional intelligence(EI) than boys did. Reflectiveness and sociability among seven personality factors had positive effects on all of the four EI factors. Responsibility factor of personality positively affected "self-regulation and emotion utilization" of both boys and girls, while activity factor had a positive effect on "other-regulation and self-expression". Stability had a possitive effect on "self-regulation and emotion utilization" among girls, whereas superiority had a negative effect on "empathy" among boys.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.138-143
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• 2000

In order to investigate the relationship between fabric sound parameters and subjective sensation, each sound from 60 fabrics was recorded and analyzed by Fast Fourier transform. Level pressure of total sound (LPT), three coefficients (ARC, ARF, ARE) of auto regressive models, loudness (Z), and sharpness (Z) by Zwickers model were estimated as sound parameters. For subjective evaluation, seven sensation (softness, loudness, sharpness, clearness, roughness, highness, and pleasantness) was rated by both semantic differential scale (SDS) and free modulus magnitude estimation (FMME). As the results, the ARC values were positively proportional to both LPT and loudness (Z) values. In both of SDS and FMME, softness, clearness, and pleasantness were negatively correlated with loudness, sharpness, roughness, and highness. In regression models, softness and clearness by FMME were negatively affected by LPT뭉 ARC, while loudness, sharpness, roughness, and highness were positively expected. Regression models for pleasantness showed low values for R2.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.03a
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• pp.265-269
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• 1999

This study was carried out to evaluate human subjective sensation for fabric rustling sounds and predict the sensation with quantified sound color measurements and mechanical properties of fabrics. Thirty subjects at Virginia Tech were asked to evaluate seven sound sensation descriptors by semantic differential scale after hearing eight different fabric sounds. Sound measurements were quantified by calculating total sound pressure(LPT), level range(ΔL), and frequency difference (Δf). Mechanical properties of fabrics were measured by KES-FB. Subjective sensation for fabric sound showed significant differences among fabrics except clearness sensation. Subjective sensation predicted by sound measurements showed well fitted regression equation with ΔL and LPT> Sharpness, clearness, and highness were significantly released with mechanical properties of fabrics. All sensation was found to be predicted with sound measurements L:PT and Δf and mechanical properties such as LT, 2HG5, WC, T, and W.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.257-260
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• 2002

The impressions for odors are subjective and have individual differences. In this study, the Impressions of odors were investigated by covariance structure analysis. 46 subjects (men in their twenty) recorded their reactions to ten odorants by grading them on a seven-point scale in terms of twelve adjective pairs. Their reactions were quantified by using factor analysis and covariance structure analysis. The factors were extracted as "preference", "arousal" and "persistency". The subjects were classified into three groups according to the most suitable causal models (structural equation models). Each group had different causal relationship and different impression structure for odors. It was suggested that there is a possibility to evaluate the subjective impression of odor using covariance structure analysis.