• Journal of the Korea Convergence Society
• /
• v.12 no.8
• /
• pp.55-60
• /
• 2021

In order to prepare basic data for research on the protection of emotional workers in Pyeongtaek with the support of Pyeongtaek City, this study conducted a survey centered on 104 counselors classified as emotional laborers. Based on the results of the survey centered on 104 emotional workers, basic research data on the difficulties of emotional workers can be prepared, and protection methods for emotional workers who are currently interested in each local government can be found. As a result of selecting a sample centering on counselors in Pyeongtaek City for a survey on the actual condition of emotional workers, and conducting a survey based on the selected samples, it was found that emotional workers did not find their rights to human rights and were not protected even in the workplace. Currently, a bill to protect emotional workers is being announced, but it is not protected, so it is confirmed that system improvement is necessary. This study focused on 104 items that were significant through pre-processing among the recovered questionnaires. It was analyzed using SPSS, R, and it was confirmed that there is a need for a regulation that can provide an institutional device in Pyeongtaek City. In this study, it is judged that it is necessary to prepare a protective device for emotional workers by selecting more samples corresponding to the occupational group of emotional workers.

• Journal of Venture Innovation
• /
• v.6 no.2
• /
• pp.83-99
• /
• 2023

The purpose of this study is to research the impact of the organizational culture of large construction companies on emotional commitment through organizational trust targeting the headquarters and field workers of domestics. Applied the significance sampling method, and the number of samples used in the final analysis was 201, and statistical analysis used the SPSS 20.0 program for the input data processing. As a result of the analysis, first, in the group of the sub-factors of organizational culture recognized by members of large construction companies, rational culture, development culture, and consensus culture had a significant positive (+) effect on emotional commitment, but hierarchical culture was not significant. Second, development culture, consensus culture, and hierarchical culture were found a significant positive (+) effect on organizational trust, but rational culture was not found to be significant. Third, organizational trust was found a significant positive (+) effect on emotional commitment. Fourth, organizational trust has been shown to mediate the relationship between organizational culture and emotional commitment. This suggests that organizational culture that aiming flexibility & change value rather than stability & control value for organizational members can have a positive effect on emotional commitment.

• Science of Emotion and Sensibility
• /
• v.11 no.1
• /
• pp.11-21
• /
• 2008

This study was designed to examine the effect of depressive mood on identification of emotional facial expression. Participants were screened out of 305 college students on the basis of the BDI-II score. Students with BDI-II score higher than 14(upper 20%) were selected for the Depression Group and those with BDI-II score lower than 5(lower 20%) were selected for the Control Group. A final sample of 20 students in the Depression Group and 20 in the Control Group were presented with facial expression stimuli of an increasing degree of emotional intensity, slowly changing from a neutral to a full intensity of happy, sad, angry, or fearful expressions. The result showed that there was the significant interaction of Group by Emotion(esp. happy and sad) which suggested that depressive mood affects processing of emotional stimuli such as facial expressions. Implication of this result for mood-congruent information processing were discussed.

• Journal of Digital Convergence
• /
• v.19 no.1
• /
• pp.355-360
• /
• 2021

In this study, the factors of confirmation bias that may occur in the initial user experience stage were analyzed using a honeycomb model by deriving user experience factors for each factor. In the initial user experience stage, confirmation bias occurs in the impression stage. At the processing stage of memory, sensory memory, working memory, and long-term memory, which stores and retrieves selective memory, were closely related. Confirmation bias was classified into visibility, correlation, memory, clarity, and universality in the usability part, and satisfaction, joy, and dissatisfaction were derived as emotional factors. As a result of the analysis with the honeycomb model, visuality, clarity, universality in the usability factor, and joy in the emotional factor had little effect on the confirmation bias, and satisfaction and dissatisfaction were analyzed as the main factors of the confirmation bias in the correlation, memory and emotional factors. This study is meaningful in that it can be usefully used as a reference material for companies that customize design patterns for the factor of confirmation bias.

• Korean Journal of Cognitive Science
• /
• v.35 no.2
• /
• pp.113-127
• /
• 2024

Attention and emotion interact intimately. Anxiety, for example, modifies attentional mechanisms to enhance the processing of threat-related information. But how can it modulate attention? Studies of the emotional Stroop task showed clearly that color naming was interfered with more by negative word distractors than by neutral distractors in anxious participants. However, few studies have investigated in what stage an emotional stimulus biases attention. The present study investigated the locus of interference in the emotional Stroop task by manipulating the SOA (Stimulus Onset Asynchrony) between the word distractor and the color target (0ms, 120ms, or 240ms). Results showed that interference occurred only with 0ms of SOA for anxious participants, whereas for non-anxious participants, there was no interference effect. These results support the view that the attentional mechanism was modulated in early stage of information processing by anxiety.

• Korean Institute of Interior Design Journal
• /
• v.13 no.3
• /
• pp.162-170
• /
• 2004

The purpose of this study is to analyze the emotional color of home office and the trendy color with special comparison of office and library colors, and to suggest the harmony of color combination of home office based on the emotional color of this analytical data. this study, the Color Syntax Program, digital tool for color analysis of images is used. The results of this study are as follows. Firstly, the main color of home office images shows three color classifications of YR-Y, Y-GY, R-YR, and with relatively high ratios of YR-Y in the color of home offices, and B-PB, GY-G in offices and libraries. Secondly, from the point of emotional aspect, the trendy color of the home office can be classified into four color image categories: 'natural', 'peaceful', 'mild', and 'noble'. Under those categories this paper proposes 10 color harmony scheme that can be applied to color of home office interior design.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.67 no.10
• /
• pp.1364-1369
• /
• 2018

Speech emotion recognition, which aims to classify speaker's emotional states through speech signals, is one of the essential tasks for making Human-machine interaction (HMI) more natural and realistic. Voice expressions are one of the main information channels in interpersonal communication. However, existing speech emotion recognition technology has not achieved satisfactory performances, probably because of the lack of effective emotion-related features. This paper provides a survey on various features used for speech emotional recognition and discusses which features or which combinations of the features are valuable and meaningful for the emotional recognition classification. The main aim of this paper is to discuss and compare various approaches used for feature extraction and to propose a basis for extracting useful features in order to improve SER performance.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.10 no.4
• /
• pp.304-309
• /
• 2000

For understanding the information processing in human brain, we analyze the EEG, a spontaneous electric activity on the scalp of the human. In this paper, we used the mutual information to analyze EEG. The mutual information is used to show the stochastic correlation between signals which are generated in the communication and information theory. The used EEG is evoked by each auditory stimulus in positive and negative emotional states. As a result, we found thet there is some difference at the mutual information in each emotional state.

• Korean Journal of Culture and Social Issue
• /
• v.27 no.4
• /
• pp.475-503
• /
• 2021

The purpose of this study is to clarify the constructs of emotion suppression and help understanding on the multidimensional nature of emotion suppression by classifying constructs for suppression according to the KMW model. Also, this study examined the gender differences of emotion suppression. For this purpose, 657 adult male and female subjects were evaluated for attitude toward emotions, and difficulty in emotional regulation, as well as depression, state anger and daily stress scale. As a result of the exploratory factor analysis on the scales related to the emotion suppression factors, the emotion suppression factors corresponding to each stage of the KMW model were found to be 'distraction against emotional information, 'difficulty in understanding and interpretation of emotions', 'emotion control beliefs', 'vulnerability on emotional expression beliefs'. Next, the study participants were classified by performing a cluster analysis based on each emotion suppression factor. As a result, four clusters were extracted and named 'emotional control belief cluster', 'emotional expression cluster', 'emotional attention failure cluster', and 'general emotional suppression cluster'. As a result of examining the average difference of male depression, depression, state anger, and daily stress for each group, significant differences were found in all dependent variables. As a result of examining whether there is a difference in the frequency of emotional suppression clusters according to gender, the frequency of emotional suppression clusters was high in men, and the ratio of emotional expression clusters was high in women. Finally, it was analyzed whether there was a gender difference in the effect of the emotional suppression cluster on psychosocial adaptation, and the implications were discussed based on the results of this study.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.4
• /
• pp.687-692
• /
• 2023

We analyze the accuracy of emotion analysis of natural language processing deep learning model and propose to use it for emotional content development. After looking at the outline of the GPT-3 model, about 6,000 pieces of dialogue data provided by Aihub were input to 9 emotion categories: 'joy', 'sadness', 'fear', 'anger', 'disgust', and 'surprise'. ', 'interest', 'boredom', and 'pain'. Performance evaluation was conducted using the evaluation indices of accuracy, precision, recall, and F1-score, which are evaluation methods for natural language processing models. As a result of the emotion analysis, the accuracy was over 91%, and in the case of precision, 'fear' and 'pain' showed low values. In the case of reproducibility, a low value was shown in negative emotions, and in the case of 'disgust' in particular, an error appeared due to the lack of data. In the case of previous studies, emotion analysis was mainly used only for polarity analysis divided into positive, negative, and neutral, and there was a limitation in that it was used only in the feedback stage due to its nature. We expand emotion analysis into 9 categories and suggest its use in the development of emotional content considering it from the planning stage. It is expected that more accurate results can be obtained if emotion analysis is performed by additionally collecting more diverse daily conversations through follow-up research.