• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.146-156
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• 2015

The purpose of this study was to identify the mediating effect of anger expression between covert narcissism and SNS addiction proneness. It was conducted to measure anger expression, covert narcissism, and SNS addiction proneness from 252(132 male, 120 female) university students. The mediating effect was analyzed through Preacher and Hayes' SPSS Macro and bootstrapping analysis. As a result of analysis, first, there were positive relationship among covert narcissism, anger expression, and SNS addiction proneness. Second, anger-out had significant mediating effect within the relationship of covert narcissism and SNS addiction proneness. Third, anger-out had significant mediating effect within the relationship of covert narcissism and disturbance of adaptive life and control failure, preoccupation and tolerance, avoidance of negative emotions. Forth, anger-in and anger-control had significant mediating effect within the relationship of covert narcissism and virtual life orientation and withdrawal. Implications of these results were explored in relation to the importance of covert narcissism and SNS addiction proneness. In addition, this implication and suggestions for future research are provided.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.478-484
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• 2004

This study is a fundamental research for the developing 3D character contents about facial expression as a sort of non-linguistic signs, focusing on an expression of emotion factors of a person. It contributes a framework for symbolic analysis about Human's emotions along with a general review of expression. The human face is the most complex and versatile of all species. For humans, the face is a rich and versatile instrument serving many different functions. It serves as a window to display one's own motivational state. This makes one's behavior more predictable and understandable to others and improves communication. The face can be used to supplement verbal communication. A prompt facial display can reveal the speaker's attitude about the information being conveyed. Alternatively, the face can be used to complement verbal communication, such as lifting of eyebrows to lend additional emphasis to stressed word. The facial expression plays a important role under the digital visual context. This study will present a frame of facial expression categories for effective manufacture of cartoon and animation that appeal to the visual emotion of the human.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.6
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• pp.821-827
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• 2009

Human emotion can be reflected by their facial expressions. So, it is one of good ways to understand people's emotions by recognizing their facial expressions. General recognition system of facial expressions had selected interesting points, and then only extracted features without analyzing physical meanings. They takes a long time to find interesting points, and it is hard to estimate accurate positions of these feature points. And in order to implement a recognition system of facial expressions on real-time embedded system, it is needed to simplify the algorithm and reduce the using resources. In this paper, we propose a real-time recognition algorithm of facial expressions that project the grid points on an expression space based on Gabor wavelet feature. Facial expression is simply described by feature vectors on the expression space, and is classified by an neural network with its resources dramatically reduced. The proposed system deals 5 expressions: anger, happiness, neutral, sadness, and surprise. In experiment, average execution time is 10.251 ms and recognition rate is measured as 87~93%.

• The KIPS Transactions:PartB
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• v.13B no.7 s.110
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• pp.653-662
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• 2006

In ubiquitous computing that is to build computing environments to provide proper services according to user's context, human being's emotion recognition based on facial expression is used as essential means of HCI in order to make man-machine interaction more efficient and to do user's context-awareness. This paper addresses a problem of rigidly basic emotion recognition in context-sensitive facial expressions through a new Bayesian classifier. The task for emotion recognition of facial expressions consists of two steps, where the extraction step of facial feature is based on a color-histogram method and the classification step employs a new Bayesian teaming algorithm in performing efficient training and test. New context-sensitive Bayesian learning algorithm of EADF(Extended Assumed-Density Filtering) is proposed to recognize more exact emotions as it utilizes different classifier complexities for different contexts. Experimental results show an expression classification accuracy of over 91% on the test database and achieve the error rate of 10.6% by modeling facial expression as hidden context.

• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.105-120
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• 2012

This study aimed to develop a Korean emotion vocabulary list that functions as an important tool in understanding human feelings. In doing so, the focus was on the careful extraction of most widely used feeling words, as well as categorization into groups of emotion(s) in relation to its meaning when used in real life. A total of 12 professionals (including Korean major graduate students) partook in the study. Using the Korean 'word frequency list' developed by Yonsei University and through various sorting processes, the study condensed the original 64,666 emotion words into a finalized 504 words. In the next step, a total of 80 social work students evaluated and classified each word for its meaning and into any of the following categories that seem most appropriate for inclusion: 'happiness', 'sadness', 'fear', 'anger', 'disgust', 'surprise', 'interest', 'boredom', 'pain', 'neutral', and 'other'. Findings showed that, of the 504 feeling words, 426 words expressed a single emotion, whereas 72 words reflected two emotions (i.e., same word indicating two distinct emotions), and 6 words showing three emotions. Of the 426 words that represent a single emotion, 'sadness' was predominant, followed by 'anger' and 'happiness'. Amongst 72 words that showed two emotions were mostly a combination of 'anger' and 'disgust', followed by 'sadness' and 'fear', and 'happiness' and 'interest'. The significance of the study is on the development of a most adaptive list of Korean feeling words that can be meticulously combined with other emotion signals such as facial expression in optimizing emotion recognition research, particularly in the Human-Computer Interface (HCI) area. The identification of feeling words that connote more than one emotion is also noteworthy.

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

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.227-231
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• 2006

As for comics and animation, the specific gravity came to become still larger in all the art fields together with the importance in various image media now which is useful and goes the time of the 21st century new media. Especially the demand of users to the vision culture which develops day by day, Sensitivity Engineering Department is trying to realize the necessity for a sensitivity design acutely together. The influence of the comics which have toxicity most also in Japanese culture in a geographical position like South Korea on it, and animation is the actual condition in the reason which has reached from youth universally to the layer for years, to be inquired systematic to a Korean comics language. This reserch was conducted as we thought sufficient study on various situations are required, and among them, for the reserch of expressions of cartoons's characters, we've divided the expressions of characters that comes out in Japanese cartoons into catagories of "happiness, anger, sadness, pleasure" and "fear, astonishment and dislike" and based on these catagories, we've drawn out the minimum elements to express emotions in cartoon and prepared image-map by relating them with languages that express emotions of people and based on this, we've made a calculating tools on how our readers would read the expression languages. Samples of Japanese cartoons of which we've chosen for the purpose of drawing out the elements of expressions were limited to only published cartoons and we've made a foot steps for expression analysis of animation characters in the future.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.409-414
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• 2023

We described how to implement character expressions and animations that play an important role in expressing emotions and personalities in low-polygon character animation. With the development of the video industry, character expressions and mouth-shaped lip-syncing in animation can realize natural movements at a level close to real life. However, for non-experts, it is difficult to use expert-level advanced technology. Therefore, We aimed to present a guide for low-budget low-polygon character animators or non-experts to create mouth-shaped lip-syncing more naturally using accessible and highly usable features. A total of 8 mouth shapes were developed for mouth shape lip-sync animation: 'ㅏ', 'ㅔ', 'ㅣ', 'ㅗ', 'ㅜ', 'ㅡ', 'ㅓ' and a mouth shape that expresses a labial consonant. In the case of facial expression animation, a total of nine animations were produced by adding highly utilized interest, boredom, and pain to the six basic human emotions classified by Paul Ekman: surprise, fear, disgust, anger, happiness, and sadness. This study is meaningful in that it makes it easy to produce natural animation using the features built into the modeling program without using complex technologies or programs.

• Journal of the Korean housing association
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• v.23 no.3
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• pp.71-78
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• 2012

This study analyzed metaphorical characteristics of composite materials in terms of a visual aspect on a new material that is applicable for housing space. The results are as follows. First, the recent trend of housing space tends to stimulate emotions of residents through visual finishing materials, and for this reason, visual expression of a new material that is applicable to finishing materials plays an important role. Second, convertibleness, association and duplicity were selected as items of metaphorical expressions through the precedent studies. Third, most of combinations of materials were shown different from the existing materials in an expressive characteristic of composite materials through analysis, and application of a technology showed a different visual effect of patterns and textures from the existing materials. This implies that visual expression and directing are being attempted using such technology on finishing materials of housing space with development of digital technologies. Fourth, for metaphorical characteristics of composite material for housing space, combination of various materials and a digital technology were applied on convertibleness. For association, a combination of materials that have each different characteristic associated with the third material, and combination with subsidiary material of optical fiber and a digital technology were appled for duplicity. Data obtained from the results of this study has high efficiency in planning finishing materials for emotional housing space in future, and it will be basic data for a study on development of new finishing materials.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.195-202
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• 2011

Objective: The aim of this study is to investigate and review the previous researches about objective measuring fatigue caused by visual stimuli. Also, we analyze possibility of alternative visual fatigue measurement methods using facial expression recognition and gesture recognition. Background: In most previous researches, visual fatigue is commonly measured by survey or interview based subjective method. However, the subjective evaluation methods can be affected by individual feeling's variation or other kinds of stimuli. To solve these problems, signal and image processing based visual fatigue measurement methods have been widely researched. Method: To analyze the signal and image processing based methods, we categorized previous works into three groups such as bio-signal, brainwave, and eye image based methods. Also, the possibility of adopting facial expression or gesture recognition to measure visual fatigue is analyzed. Results: Bio-signal and brainwave based methods have problems because they can be degraded by not only visual stimuli but also the other kinds of external stimuli caused by other sense organs. In eye image based methods, using only single feature such as blink frequency or pupil size also has problem because the single feature can be easily degraded by other kinds of emotions. Conclusion: Multi-modal measurement method is required by fusing several features which are extracted from the bio-signal and image. Also, alternative method using facial expression or gesture recognition can be considered. Application: The objective visual fatigue measurement method can be applied into the fields of quantitative and comparative measurement of visual fatigue of next generation display devices in terms of human factor.