• Proceedings of the IEEK Conference
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• 2000.06d
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• pp.226-229
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• 2000

A 2D comic model, a comic-style line drawing model having only eyebrows, eyes, nose and mouth, is much easier to generate facial expressions with small number of points than that of 3D model. In this paper we propose a 3D emotional editor using a 2D comic model, where emotional expressions are represented by using action units(AU) of FACS. Experiments show a possibility that the proposed method could be used efficiently for intelligent sign-language communications between avatars of different languages in the Internet cyberspace.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.181-187
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• 2015

In this study, an LED emotional lighting algorithm optimized to the situation was implemented using fuzzy inference for users in exercise and resting situations in indoor environment. The fuzzy theory was used instead of the conventional simple color temperature control in order to control the colors and color temperatures of LED light sources in line with user environment under complex conditions. An LED emotional lighting system based on fuzzy theory was designed through a combination of colors according to the color and temperature of emotional language based on the user behavior. As a result, the color and color temperature can give a good effect on user's emotions for an emotional lighting that is effective for resting and exercise.

• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.159-166
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• 2014

In this paper, we examine the role of emotional acoustic cues including both prosody and voice quality parameters for the modification of a word sense. For the extraction of prosody parameters and voice quality parameters, we used 60 pieces of speech data spoken by six speakers with five different emotional states. We analyzed eight different emotional acoustic cues, and used a discriminant analysis technique in order to find the dominant sequence of acoustic cues. As a result, we found that anger has a close relation with intensity level and 2nd formant bandwidth range; joy has a relative relation with the position of 2nd and 3rd formant values and intensity level; sadness has a strong relation only with prosody cues such as intensity level and pitch level; and fear has a relation with pitch level and 2nd formant value with its bandwidth range. These findings can be used as the guideline for find-tuning an emotional spoken language generation system, because these distinct sequences of acoustic cues reveal the subtle characteristics of each emotional state.

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

• Journal of English Language & Literature
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• v.57 no.4
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• pp.675-693
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• 2011

In its restricted sense, 'sound poetry' refers to the poetic performance that rejects words and verbal meaning and instead foregrounds the aural materiality of poetry. Behind this seeking for materiality lies a quest for a 'language of presence,' which operates through a denial of signification toward an ideal of the Adamic tongue, a purely emotional and universal language. In the same light, it is argued that sound poetry is a unique and unrepeatable event devoid of meaning due to its directness to the body allowing no intervention of intellectual and semiotic process. But language may involve perceptual meaning as well as verbal or conceptual meaning ascribed to words. This implies that even though devoid of conceptual meaning by means of using grammatically non-articulated sounds, sound poetry cannot but have meaning whose articulation is differently, i.e., iconically made about the aural features of the sounds. Perceptual meaning is unavoidable because everything we are conscious of is a reduced form, a repeatable pattern that works as a sign. 'Language of presence' is then actually impossible, and therefore sound poetry should be seen rather as a fest of diverse perceptual meanings.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.31 no.2
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• pp.108-115
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• 2023

Alongside the rapid development of AI technology, which is stepping in to do tasks more quickly and less prone to error than humans can, the possibility for MI (multiple intelligence) development warrants equal attention and fervor. Recent theories of human intelligence point beyond standard cognitive capacity, IQ, and shine a light on the other unique potentials naturally endowed to humans. The applicability of MI to aviation is discussed, suggesting that it is important to consider ways to integrate MI development techniques into pilot education and training. Experiential starting points are discussed.

• Journal of KIISE
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• v.42 no.4
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• pp.512-521
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• 2015

Internet users purchase goods on the Internet and express their positive or negative emotions of the goods in product reviews. Analysis of the product reviews become critical data to both potential consumers and to the decision making of enterprises. Therefore, the importance of opinion mining techniques which derive opinions by analyzing meaningful data from large numbers of Internet reviews. Existing studies were mostly based on comments written in English, yet analysis in Korean has not actively been done. Unlike English, Korean has characteristics of complex adjectives and suffixes. Existing studies did not consider the characteristics of the Internet language. This study proposes an emotional classification method which increases the accuracy of emotional classification by analyzing the characteristics of the Internet language connoting feelings. We can classify positive and negative comments about products automatically using the Internet emoticon. Also we can check the validity of the proposed algorithm through the result of high precision, recall and coverage for the evaluation of this method.

• Korean Journal of Child Studies
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• v.21 no.4
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• pp.259-274
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• 2000

The subjects of this study on the effects of teacher intervention in sociodramatic plays were 54 five-year-old children from 2 public kindergartens in C city. Socioeconomic stasus and, aside from teacher interventions, educational procedures were the same for both the experimental group(28 subjects) and the control (26 subjects) groups in both schools. Instruments were the Social Play Rating Scale(Smilansky & Shefatya, 1990), Social Situations Measure(McGinnis & Goldstein, 1990), and Language Ability Test(Chang, 1981). Procedures included pretest, 14 weeks treatments and post-test. Data were analyzed by t-test. Results indicated significant differences in social play levels between the experimental and control groups, (b) including differences in such general social skills as emotional control and relationships with others. There were also differences in language ability, including such subordinates as language understanding and expressive abilities.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.5
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• pp.116-123
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• 2003

These days, the researches related with the emotional robots are actively investigated and in progress. And human language, expression, action etc. are merged in the emotional robot to understand the human emotion. However, there are so many sound sources and background noise around the robot, that the robots should be able to separate the mixture of these sound sources into the original sound sources, moreover to understand the meaning of voice of a specific person. Also they should be able to turn or move to the direction of a specific person to observe his expression or action effectively. Until now, the researches on the localization and separation of sound sources have been so theoretical and computative that real-time processing is hardly possible. In this reason for the practical emotional robot, fast computation should be realized by using simple principle. In this paper the methods for detecting the direction of sound sources by using the phase difference between peaks on spectrums, and the separating the sound sources by using fundamental frequency and its overtones of human voice, are proposed. Also by using these methods, it is shown that the effective and real-time localization and separation of sound sources in living room are possible.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.26 no.3
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• pp.377-387
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• 2016

Objectives: The objective of this study was to describe the emotional labor experiences of ward nurses in Korea. Methods: The data were collected through focus group interviews with seven ward nurses. The phenomenological analytic method suggested by Colaizzi was used to analyze the data. Results: Four theme clusters and eleven themes emerged from the analysis. The first theme cluster, 'Terrible working environment' includes changes in the health environment and realities of nursing organization. The second theme cluster, 'Suppressed feelings' includes institutionalized power trip, patient-centered emotion management and burning. The third theme cluster, 'Tired body and mind' includes withdrawal, wounded self-esteem, burnout and turnover desicion. The fourth theme cluster, 'Want to be comforted' includes emotional control and wishing to live as a nurse. Conclusions: The findings of this study provide an understanding of the emotional labor experiences of ward nurses to explain their perceptions and language. The essence of the emotional labor of ward nurses is a negative working environment created by increased competition in the healthcare industry and the nature of nursing organization, and as a result their quality of life has fallen.