• Fashion & Textile Research Journal
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• v.16 no.3
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• pp.354-365
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• 2014

This study investigates the positioning of emotional language imagesin popular music genres for developing textile print design ideas. Auditory and synaesthetic imagery were employed to deduct emotional language imageries from popular music genres and analyze differences in emotional language imageries according to popular music genres. Six genres of popular music were selected as stimulus and a survey was conducted to analyze emotional language imagery differences and similarities depending on popular music genres. The results of this study were: The results of the factor analysis and the reliability test on emotional language imagery showed factorial structures that include Lyrical-Feminine, Intense-Masculine, Euphoric-Active, Gloomy-Melancholy, Abstruse-Sophisticated, and Addictive-Continuous. The results of the mean scores of emotional language imagery of each popular music genre showed that respondents tended to perceive that ballad and new age music are similar and hip-hop & rap, dance, and metal-rock are similar. Based on the multidimensional scaling analysis, new age positioned Lyrical-Feminine, metal-rock positioned Intense-Masculine, dance music positioned Euphoric-Active, and ballad positioned Gloomy-Melancholy. This study provides elementary resources to inspire innovative textile prints designed through different characteristics of emotional language imagery according to each popular music genre.

• The Korean Journal of Community Living Science
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• v.22 no.3
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• pp.455-469
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• 2011

The purpose of this study was to find out how follow-up activities of reading picture books influenced infants' language and socio-emotional development. Subjects of this study were 27 2-year-old infants at public day care centers in Busan. After implementing follow-up activities of reading picture books for 8 weeks, this study tried to investigate changes in infants' language and socio-emotional development. Results of this study are as follows. First, follow-up activities of reading pictures have brought positive impacts on infants' language ability. Results indicate a positive influence on infants' expressive and acceptive language ability. Second, follow up activities have also enhanced infants' socio-emotional development. Sepcifically, they have been effective in improving infants' low-level socio-emotional development such as 'internal control', 'peer interaction', and 'achievement motivation'. It is expected that the follow-up activities developed by this research would help to enhance infants' language development and socio-emotional development.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.5
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• pp.1252-1264
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• 2015

This study examined the moderating and mediating effects of teacher-child conflict relationship among child's language ability, emotional regulation and peer victimization. The participants were 152 children(77 boys, 75 girls) and 14 preschool teachers. The teachers completed rating scales to measure the child's emotional regulation, peer victimization and teacher-child relationship. Child's language ability was assessed by researcher using PRES(Preschool Receptive-Expressive Language Scale). The collected data were analyzed using Pearson correlations and hierarchical multiple regressions. Results showed that peer victimization was related to child's language ability, emotional regulation and teacher-child relationship. Hierarchical aggression analysis indicated that the interaction of child's receptive language ability and teacher-child conflict relationship predicated peer victimization. Child's language ability, whose demonstrated a lower teacher-child conflict relationship, was significantly with peer victimization. In addition, the association between a child's emotional regulation and peer victimization was partially mediated by teacher-child conflict relationship.

• Journal of Sensor Science and Technology
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• v.30 no.6
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• pp.429-435
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• 2021

In this study, the creation of emotional dialogue was investigated within the process of developing a robot's natural language understanding and emotional dialogue processing. Unlike an English-based dataset, which is the mainstay of natural language processing, the Korean-based dataset has several shortcomings. Therefore, in a situation where the Korean language base is insufficient, the Korean dataset should be dealt with in detail, and in particular, the unique characteristics of the language should be considered. Hence, the first step is to base this study on a specific Korean dataset consisting of conversations on emotional topics. Subsequently, a model was built that learns to extract the continuous dialogue features from a pre-trained language model to generate sentences while maintaining the context of the dialogue. To validate the model, a chatbot system was implemented and meaningful results were obtained by collecting the external subjects and conducting experiments. As a result, the proposed model was influenced by the dataset in which the conversation topic was consultation, to facilitate free and emotional communication with users as if they were consulting with a chatbot. The results were analyzed to identify and explain the advantages and disadvantages of the current model. Finally, as a necessary element to reach the aforementioned ultimate research goal, a discussion is presented on the areas for future studies.

• Culinary science and hospitality research
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• v.14 no.2
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• pp.73-85
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• 2008

This study is based on an empirical study on consequences of emotions and emotional labor in the food-service industry. It analyzed the effect of emotional labor on emotions of emotional laborers and the effect of emotional labor on communication skills. Data used for analysis were collected through the questionnaire surveyed on the various samples including employees of family restaurants, Korean restaurants, Chinese restaurants, Japanese restaurants, etc. The result of data analysis indicated that only the efforts for emotional expressions among the factors influenced affirmative emotion(P-value=0.042). It also showed that the factor of the efforts for emotional expressions by researchers had a positive effect on both language communication skills and non-language communication skills(P-value=0.000). This study was valuable in the aspect that emotions and communication skills were first selected as dependent variables of emotional labor and it verified causality between emotional labor and these variables. However, it also has some limitations that its sample size was small and it depended on convenience sampling.

• Journal of Information Technology Applications and Management
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• v.21 no.3
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• pp.65-77
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• 2014

Ubiquitous learning has aroused great interest and is becoming a new way for foreign language education in today's society. However, how to increase the learners' initiative and their community cohesion is still an issue that deserves more profound research and studies. Emotional intelligence can help to detect the learner's emotional reactions online, and therefore stimulate his interest and the willingness to participate by adjusting teaching skills and creating fun experiences in learning. This is, actually the new concept of smart education. Based on the previous research, this paper concluded a neural mechanism model for analyzing the learners' emotional characteristics in ubiquitous environment, and discussed the intelligent monitoring and automatic recognition of emotions from the learners' speech signals as well as their behavior data by multi-agent system. Finally, a framework of emotional intelligence system was proposed concerning the smart foreign language education in ubiquitous learning.

• Human Ecology Research
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• v.54 no.1
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• pp.45-56
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• 2016

This study investigates: (1) children's proactive aggression according to age and the emotional condition of the counterpart child, (2) if children's intention attribution, emotional attribution (victim and perpetrator) and language ability influences proactive aggression according to age and the emotional condition of the counterpart child. The subjects were 68 3-year-old and 70 5-year-old children. Each child was individually interviewed with picture cards. Collected data were coded and analyzed in SPSS with frequencies, percentiles, means, standard deviations, repeated measures analysis of variance (ANOVA), t -tests, Pearson correlations and multiple linear regression. The results showed that 3-year-old children showed more proactive aggression and physical aggression than 5-year-old children. They showed more proactive aggression when counterpart child was in a happy condition than in a fear condition. Intention attribution, emotional attribution, and language ability partially affected a children's proactive aggression according to age and the emotional condition of the counterpart child. This study has practical implications for teachers in regards to children's proactive aggressive behavior at child care centers. Teachers use specific to develop advantages as the basis for developing aggression prevention programs that consider emotional and cognitive factors.

• The Journal of the Acoustical Society of Korea
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• v.40 no.5
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• pp.523-529
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• 2021

In this paper, we designed and developed an Emotional Speech Synthesis Markup Language (SSML) processor. Multi-speaker emotional speech synthesis technology that can express multiple voice colors and emotional expressions have been developed, and we designed Emotional SSML by extending SSML for multiple voice colors and emotional expressions. The Emotional SSML processor has a graphic user interface and consists of following four components. First, a multi-speaker emotional text editor that can easily mark specific voice colors and emotions on desired positions. Second, an Emotional SSML document generator that creates an Emotional SSML document automatically from the result of the multi-speaker emotional text editor. Third, an Emotional SSML parser that parses the Emotional SSML document. Last, a sequencer to control a multi-speaker and emotional Text-to-Speech (TTS) engine based on the result of the Emotional SSML parser. Based on SSML which is a programming language and platform independent open standard, the Emotional SSML processor can easily integrate with various speech synthesis engines and facilitates the development of multi-speaker emotional text-to-speech applications.

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.651-654
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• 1999

In this paper we propose an emotional expression method using a comic model and special marks for effective sign-language communications. Until now we have investigated to produce more realistic facial and emotional expression. When representing only emotional expression, however, a comic expression could be better than the real picture of a face. The comic face is a comic-style expression model in which almost components except the necessary parts like eyebrows, eyes, nose and mouth are discarded. In the comic model, we can use some special marks for the purpose of emphasizing various emotions. We represent emotional expression using Action Units(AU) of Facial Action Coding System(FACS) and define Special Unit(SU) for emphasizing the emotions. Experimental results show a possibility that the proposed method could be used efficiently for sign-language image communications.

• Communications of Mathematical Education
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• v.32 no.4
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• pp.555-573
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• 2018

The purpose of this study is to identify the emotional language of math teachers in math class using text mining techniques. For this purpose, we collected the discourse data of the teachers in the class by using the excellent class video. The analysis of the extracted unstructured data proceeded to three stages: data collection, data preprocessing, and text mining analysis. According to text mining analysis, there was few emotional language in teacher's response in mathematics class. This result can infer the characteristics of mathematics class in the aspect of affective domain.