• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.45-52
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• 2019

This study focuses on analyzing rhythms revealed in music songs of Korean third-generation idol girl groups. The development of genre and development of rhythm continues and the rhythm of Third World music is strong worldwide. The development of genres and rhythms continues and the rhythms of the Third World music are winning big popularity world wide. In the past, Third World rhythms were used only in countries where rhythm originated and neighboring countries, and the rhythms between countries were combined to occur in various conersence composite forms. In the past, the Third World rhythms were used only in rhythm-oriented countries and neighboring countries, and the rhythms between countries were combined in various and composite forms The changes in the global music market and the structure of the Korean pop music market show the same pattern in the local pop music genre. This study analyzes the phenomenon in which the Dembow rhythm and the tresillo rhythm, one of the rhythms of the Third World music, are concentrated in third-generation idol music, and notes that a certain number of combinations appear in rhythms and melodies. Moreover, this study identifies and compares the origin, the structure and the application cases of the Dembow rhythm and the tresillo rhythm by analyzing 12 songs of Korean third-generation idol girl groups. A game, as a sort of media like a movie, may be subjected to an ambivalent evaluation in accordance with the quality of each content. In this regard, it is necessary to have an active discussion about which game has desirable contents. Emotion which is an influential factor on interaction among players in game design needs to be approached from a social perspective. Also, based on social emotions associated with players, a significant relationship between emotional vocabularies and game emotions should be understood in comparison with social emotions within the game. based on social emotions regarding players As a result, social emotions within the game exhibited differences from the meaning of the terms. It is supposed that this result was caused by the ethical standards and differences in the real world. Accordingly, for qualitative enhancement of games, it is required to utilize the contents of this study, since emotions within the game are based on social emotions regarding players.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.11
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• pp.1496-1505
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• 2018

The technology of emotion recognition is necessary for human computer interaction communication. There are many cases where one cannot communicate without considering one's emotion. As such, emotional recognition technology is an essential element in the field of communication. n this regard, it is highly utilized in various fields. Various bio-sensor sensors are used for human emotional recognition and can be used to measure emotions. This paper proposes a system for recognizing human emotions using two physiological sensors. For emotional classification, two-dimensional Russell's emotional model was used, and a method of classification based on personality was proposed by extracting sensor-specific characteristics. In addition, the emotional model was divided into four emotions using the Support Vector Machine classification algorithm. Finally, the proposed emotional recognition system was evaluated through a practical experiment.

• Journal of Information Technology Applications and Management
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• v.31 no.2
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• pp.35-49
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• 2024

With the development of e-commerce, live streaming e-commerce, as an emerging marketing method, is on the rise. It integrates various ways of information delivery, providing consumers with unprecedented shopping experiences, particularly through its interactive nature, which can increase audience engagement and immersion. This study delves into how interactive elements in live streaming e-commerce influence consumer emotions and purchase intentions. By employing literature review and empirical analysis methods, we analyzed various interactive factors in the live streaming e-commerce environment and revealed the process through which these factors stimulate audience emotions and lead to specific purchasing behaviors. The results confirm that the interactive appeal of live streaming e-commerce significantly influences consumers' positive emotional responses, consequently enhancing purchase intentions. This study aims to explore the relationship between the interactive features of live streaming e-commerce and consumer emotional responses and purchase intentions, thereby filling theoretical gaps in the field of live streaming e-commerce and proposing new marketing theories. Additionally, by analyzing how interactive features stimulate consumers, optimal live content strategies can be proposed for live streaming e-commerce platforms and hosts, thus aiding in the improvement of marketing strategies and sales effectiveness.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.69-74
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• 2018

Through the convergence of Internet technology and various information technologies, it is possible to collect and process vast amount of information and to exchange various knowledge according to user's personal preference. Especially, there is a tendency to prefer intimate contents connected with the user's preference through the flow of emotional changes contained in the movie media. Based on the information presented in the script, the user seeks to visualize the flow of the entire emotion, the flow of emotions in a specific scene, or a specific scene in order to understand it more quickly. In this paper, after obtaining the raw data from the movie web page, it transforms it into a standardized scenario format after refining process. After converting the refined data into an XML document to easily obtain various information, various sentences are predicted by inputting each paragraph into the emotion prediction system. We propose a system that can easily understand the change of the emotional state between the characters in the whole or a specific part of the various emotions required by the user by mixing the predicted emotions flow and the amount of information included in the script.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.1-6
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• 2014

Emotion recognition is defined as that machines automatically recognize human emotions. Because the human emotions is very subjective, it is impossible to measure objectively. Therefore, the goal of emotion recognition is to obtain a measure that is agreed by as many people as possible. Emotion recognition in a image is implemented as the method that matches human emotions to the various features of the image. In the paper, we propose an emotion recognition system using color features of clothing image based on the Kobayashi's image scale. The proposed system stores colors of image scale into a database. And extracted major colors from a input clothing image are compared with those in the database. The proposed system can obtain three emotions maximally. In order to evaluate the system performance 70 observers are tested. The test results shows that recognized emotions of the proposed system are very similar to the observers emotions.

• Science of Emotion and Sensibility
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• v.2 no.1
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• pp.1-25
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• 1999

The differentiation of emotions by means of psychophysiological measures has been only moderately successful so far. A major reason for this dilemma may be the lack of appropriate neurophysiological modeling for the various autonomic nervous system based measures being used in emotion research. The aim of the present article is to provide such a neurophysiological background for electrodermal activity which has been frequently used as an indicator of emotional processes. First, the literature is reviewd with respect to the usability of electrodermal measures as an indicators of emotion. second, the neurophysilogical sources of electrodermal phenomena in general are described. Electrodermal activity has different origins in the central nervous system, a limbic-hypothalamic source that dominates during negative emotions as opposed to a premotor and basal ganglia source being predominantly active during positive emotions. Panksepp's model of four basic emotive systems is adopted for demonstrating subcortical structures and pathways possibly involved in the elicitation of both kinds of electrodermal activity in comparison with cardiovascular in dicators of emotional processes.

• Journal of information and communication convergence engineering
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• v.19 no.3
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• pp.148-154
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• 2021

With the advent of context-aware computing, many attempts were made to understand emotions. Among these various attempts, Speech Emotion Recognition (SER) is a method of recognizing the speaker's emotions through speech information. The SER is successful in selecting distinctive 'features' and 'classifying' them in an appropriate way. In this paper, the performances of SER using neural network models (e.g., fully connected network (FCN), convolutional neural network (CNN)) with Mel-Frequency Cepstral Coefficients (MFCC) are examined in terms of the accuracy and distribution of emotion recognition. For Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) dataset, by tuning model parameters, a two-dimensional Convolutional Neural Network (2D-CNN) model with MFCC showed the best performance with an average accuracy of 88.54% for 5 emotions, anger, happiness, calm, fear, and sadness, of men and women. In addition, by examining the distribution of emotion recognition accuracies for neural network models, the 2D-CNN with MFCC can expect an overall accuracy of 75% or more.

• Knowledge Management Research
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• v.19 no.3
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• pp.135-171
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• 2018

Due to its nature, business foundation accompanies high levels of risk taking and responsibility. For this reason, entrepreneurs come to experience various negative emotions in the process of business foundation such as anxiety about risks, fear of failure, and pressure of success. However, entrepreneurs' negative emotions reduce individual inclinations for business foundation. Thus, it is necessary to research individual psychological characteristics that could reduce and attenuate entrepreneurs' negative emotions. To this end, this study examined the effects of Self-forgiveness, and Narcissism, psychological motivation variables, and Positive psychological capital and Career ambition, goal motivation variables, on entrepreneurial intentions. In order to verify research hypotheses, 326 questionnaires collected from prep-entrepreneurs were used for the empirical analysis. Looking at the analysis results, Self-forgiveness, Narcissism, Positive psychological capital and Career ambition had significant effects on entrepreneurial intentions. This study has a meaning in that it confirmed the influential relationship between the psychological characteristics reducing entrepreneurs' negative emotions and entrepreneurial intentions. In addition, this study suggested its implications, limitations, and future research directions based on the study results.

• 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 the Ergonomics Society of Korea
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• v.30 no.1
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• pp.221-227
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• 2011

Objective: The aim of this study is to investigate the quantitative effects of various emotions and retention periods on the color vividness of visual memory. Background: Although numerous studies have focused on the effects of emotions on memory such as visual detail and vividness of emotional events compared to neutral events, the relationship between emotion and visual memory is ambiguous yet. Furthermore, there were few studies on the effect of emotion on vividness of visual memory. Method: A total of 68 subjects were participated in serial experiments proceed on online and the experiments had two phases: recognition phase and reproduction phase. The 15 photographs were used as visual stimuli and all experiments were conducted over the internet(experiment website) and the results were collected on the web database. Results: The retention period, sleep-arousal emotion and subjective saturation of visual stimuli had a significant effect on the color vividness of visual memory. Conclusion: The results suggested that the color of visual stimulus might be more vividly remembered when it is arousing, the subjective saturation is higher and the retention period is longer. Application: The findings of this study may help clarify the relationship between human emotions and visual memory.