• Title/Summary/Keyword: Emotional Expressions

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Fake News Detection Using CNN-based Sentiment Change Patterns (CNN 기반 감성 변화 패턴을 이용한 가짜뉴스 탐지)

  • Tae Won Lee;Ji Su Park;Jin Gon Shon
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.4
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    • pp.179-188
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    • 2023
  • Recently, fake news disguises the form of news content and appears whenever important events occur, causing social confusion. Accordingly, artificial intelligence technology is used as a research to detect fake news. Fake news detection approaches such as automatically recognizing and blocking fake news through natural language processing or detecting social media influencer accounts that spread false information by combining with network causal inference could be implemented through deep learning. However, fake news detection is classified as a difficult problem to solve among many natural language processing fields. Due to the variety of forms and expressions of fake news, the difficulty of feature extraction is high, and there are various limitations, such as that one feature may have different meanings depending on the category to which the news belongs. In this paper, emotional change patterns are presented as an additional identification criterion for detecting fake news. We propose a model with improved performance by applying a convolutional neural network to a fake news data set to perform analysis based on content characteristics and additionally analyze emotional change patterns. Sentimental polarity is calculated for the sentences constituting the news and the result value dependent on the sentence order can be obtained by applying long-term and short-term memory. This is defined as a pattern of emotional change and combined with the content characteristics of news to be used as an independent variable in the proposed model for fake news detection. We train the proposed model and comparison model by deep learning and conduct an experiment using a fake news data set to confirm that emotion change patterns can improve fake news detection performance.

The narrative inquiry on Korean Language Learners' Korean proficiency and Academic adjustment in College Life (학문 목적 한국어 학습자의 한국어 능력과 학업 적응에 관한 연구)

  • Cheong Yeun Sook
    • Journal of the International Relations & Interdisciplinary Education
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    • v.4 no.1
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    • pp.57-83
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    • 2024
  • This study aimed to investigate the impact of scores on the Test of Proficiency in Korean (TOPIK) among foreign exchange students on academic adaptation. Recruited students, approved by the Institutional Review Board (IRB), totaled seven, and their interview contents were analyzed using a comprehensive analysis procedure based on pragmatic eclecticism (Lee, Kim, 2014), utilizing six stages. As a result, factors influencing academic adaptation of Korean language learners for academic purposes were categorized into three dimensions: academic, daily life, and psychological-emotional aspects. On the academic front, interviewees pointed out difficulties in adapting to specialized terminology and studying in their majors, as well as experiencing significant challenges with Chinese characters and Sino-Korean words. Next, from a daily life perspective, even participants holding advanced TOPIK scores faced difficulties in adapting to university life, emphasizing the necessity of practical expressions and extensive vocabulary for proper adjustment to Korean life. Lastly, within the psychological-emotional dimension, despite being advanced TOPIK holders, they were found to experience considerable stress in conversations or presentations with Koreans. Their lack of knowledge in social-cultural and everyday life culture also led to linguistic errors and contributed to psychological-emotional difficulties, despite proficiency in Korean. Based on these narratives, the conclusion was reached that in order to promote the academic adaptation of Korean language learners, it is essential to provide opportunities for Korean language learning. With this goal in mind, efforts should be directed towards enhancing learners' academic proficiency in their majors, improving Korean language fluency, and fostering interpersonal relationships within the academic community. Furthermore, the researchers suggested as a solution to implement various extracurricular activities tailored for foreign learners.

Study of expression in virtual character of facial smile by emotion recognition (감성인식에 따른 가상 캐릭터의 미소 표정변화에 관한 연구)

  • Lee, Dong-Yeop
    • Cartoon and Animation Studies
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    • s.33
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    • pp.383-402
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    • 2013
  • In this study, we apply the facial Facial Action Coding System for coding the muscular system anatomical approach facial expressions to be displayed in response to a change in sensitivity. To verify by applying the virtual character the Duchenne smile to the original. I extracted the Duchenne smile by inducing experiment of emotion (man 2, woman 2) and the movie theater department students trained for the experiment. Based on the expression that has been extracted, I collect the data of the facial muscles. Calculates the frequency of expression of the face and other parts of the body muscles around the mouth and lips, to be applied to the virtual character of the data. Orbicularis muscle to contract end of lips due to shrinkage of the Zygomatic Major is a upward movement, cheek goes up, the movement of the muscles, facial expressions appear the outer eyelid under the eye goes up with a look of smile. Muscle movement of large muscle and surrounding Zygomatic Major is observed together (AU9) muscles around the nose and (AU25, AU26, AU27) muscles around the mouth associated with openness. Duchen smile occurred in the form of Orbicularis Oculi and Zygomatic Major moves at the same time. Based on this, by separating the orbicularis muscle that is displayed in the form of laughter and sympathy to emotional feelings and viable large muscle by the will of the person, by applying to the character of the virtual, and expression of human I try to examine expression of the virtual character's ability to distinguish.

Emotion fusion video communication services for real-time avatar matching technology (영상통신 감성융합 서비스를 위한 실시간 아바타 정합기술)

  • Oh, Dong Sik;Kang, Jun Ku;Sin, Min Ho
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.283-288
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    • 2012
  • 3D is the one of the current world in the spotlight as part of the future earnings of the business sector. Existing flat 2D and stereoscopic 3D to change the 3D shape and texture make walking along the dimension of the real world and the virtual reality world by making it feel contemporary reality of coexistence good show. 3D for the interest of the people has been spreading throughout the movie which is based on a 3D Avata. 3D TV market of the current conglomerate of changes in the market pioneer in the 3D market, further leap into the era of the upgrade was. At the same time, however, the modern man of the world, if becoming a necessity in the smartphone craze new innovation in the IT market mobile phone market and also has made. A small computer called a smartphone enough, the ripple velocity and the aftermath of the innovation of the telephone, the Internet as much as to leave many issues. Smartphone smart phone is a mobile phone that can be several functions. The current iPhone, Android. In addition to a large number of Windows Phone smartphones are released. Above the overall prospects of the future and a business service model for 3D facial expression as input avatar virtual 3D character on camera on your smartphone camera to recognize a user's emotional expressions on the face of the person is able to synthetic synthesized avatars in real-time to other mobile phone users matching, transmission, and be able to communicate in real-time sensibility fused video communication services to the development of applications.

The Hope of the Stroke Patients (뇌졸중환자의 희망)

  • 김이순
    • Journal of Korean Academy of Nursing
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    • v.27 no.1
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    • pp.212-227
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    • 1997
  • Cerebrovascular diseases in Korea is an important health problem since mortality and mobidity have been increased rapidly. It marked the 2nd cause of specific death rates in 1993. The stroke causes physical function disorder due to hemiparalysis and emotional disorder, and stroke patients experience helplessness, powerlessness. sense of alienation and loss of hope. These feelings make the rehabilitation difficult because they lose the will of life. The subjects of the study were seven citizens who live in Pusan, are over 50 years old and belong to low income-level. The data were collected from Jan. to Sep. 1995. The researcher as a caregiver and volunteer made confidence of them and asked for their agreement on the purpose of the study. The subjects expressed their experience as openheartedly as possible. The analysis of the data was made through the phenomenological analytic method suggested by Giorgi, which is as follows ; as an unit of description which include the subject' expressions and the researcher's observation, it is examined the theme that express the hope experience with the subject's language(underlining), and the focal meanings are identified. The focal meaning is the crystalization of the theme, which is written in the language of the researcher. After intergrating the focal meaning and make the situated structural description as the meaning of the hope experience identified on each subject's point. After intergrating the situated structural description and make the general structural description as the meaning of the hope experience identified on total subject's point then the systemizing of the structure of the hope experienced phenomena and the flowing of the conciousness was researched. The conclusions of this study was as follows : The ten sources of hope which the subjects experienced were sorted as under 〈mutual relations to others : spouse, children, relatives, fellow believer. health professioner. associate patient group〉, 〈spiritual dependence〉. 〈recovery of physical function〉. 〈rumination of the past life〉, 〈expectation of the future〉. 〈economic power〉, 〈belief〉, 〈ability〉. 〈spontaneous participation〉 and 〈recovery of roles〉. Their hope was spoken out by the following two kinds of linguistics. First. the hope was expressed in the affirmative expression as follows : 〈 to be dependable〉, 〈to make efforts〉, 〈to keep under control〉, 〈to desire〉, 〈to be pleasant〉, 〈to be peaceful〉, 〈to be grateful〉, 〈to give help〉, 〈self-confidence. Courage〉, 〈to be happy〉, 〈to satisfy oneself〉, 〈to share with others〉, 〈to understand〉 and 〈to be affected, be impressed〉 Second, the hope was expressed in the negative on pression as under : 〈to be distressed〉, 〈to be uneasy〉, 〈to be sorry, be unsatisfied〉 〈despair〉, 〈to abandon〉, 〈to be fearful〉, 〈to suffer〉, 〈to bear a burden〉 〈to be confused〉, 〈to be solitary〉, 〈chest trouble〉, 〈to feel heavy〉 〈grief〉, 〈to be daunted〉, 〈to get angry〉, 〈to be uncomfortable〉, 〈to have something regretable〉 and 〈to feel guilty〉. And their hope was expressed by the following four behavioral expressions : 〈physical sphere〉, 〈psychological sphere〉, 〈social support sphere〉 and 〈spiritual sphere〉. The reaction patterns of their hope experience appeared in the following 4 coping method : 〈conquest type〉, 〈dependence type〉, 〈adaptation type〉 and 〈fate type〉. Finally, in the hope structure the sense of certainty don't always coexict with the sense of uncertainty, When the stroke patients try to search for the best quality of life, the senses of certainty and uncertainty make a continual cyclic system in the hope structure.

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Effects of Working Memory Load on Negative Facial Emotion Processing: an ERP study (작업기억 부담이 부적 얼굴정서 처리에 미치는 영향: ERP 연구)

  • Park, Taejin;Kim, Junghee
    • Korean Journal of Cognitive Science
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    • v.29 no.1
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    • pp.39-59
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    • 2018
  • To elucidate the effect of working memory (WM) load on negative facial emotion processing, we examined ERP components (P1 and N170) elicited by fearful and neutral expressions each of which was presented during 0-back (low-WM load) or 2-back (high-WM load) tasks. During N-back tasks, visual objects were presented one by one as targets and each of facial expressions was presented as a passively observed stimulus during intervals between targets. Behavioral results showed more accurate and fast responses at low-WM load condition compared to high-WM load condition. Analysis of mean amplitudes of P1 on the occipital region showed significant WM load effect (high-WM load > low-WM load) but showed nonsignificant facial emotion effect. Analysis of mean amplitudes of N170 on the posterior occipito-temporal region showed significant overall facial emotion effect (fearful > neutral), but, in detail, significant facial emotion effect was observed only at low-WM load condition on the left hemisphere, but was observed at high-WM load condition as well as low-WM load condition on the right hemisphere. To summarize, facial emotion effect observed by N170 amplitudes was modulated by WM load only on the left hemisphere. These results show that early emotional processing of negative facial expression could be eliminated or reduced by high load of WM on the left hemisphere, but could not be eliminated by high load on the right hemisphere, and suggest right hemispheric lateralization of negative facial emotion processing.

Empirical Analysis of Political Communication Mode at Cyberspace (사이버 공간에서의 정치 커뮤니케이션 양식 분석 연구 : 제16대 공선 후보자 사이버 게시판 분석을 중심으로)

  • Hwang, Geun
    • Korean journal of communication and information
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    • v.16
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    • pp.207-254
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    • 2001
  • This study is focused on forecasting the future of tole-democracy. Many Scholars expect that internet provides technological space needing realizing the tole-democracy or deliberate democracy. Especially in Korea, this expectation is higher than other nations because of political corruption and inefficiency. Therefore internet is intended to considering as new technologies reforming political process. In 16th the general election period, many candidates established home page and used as election campaign tool. And a little of home pages is payed attention to among voters. In spite of using internet as political medium, many political communication researchers have a doubt that internet will realize ideal direct democracy. It's reason is that internet is open and anonymous space. At anonymous space, communication participators is tended to be irresponsible and non-serious. Therefore it is hard that cyber-politics will be ideal type of democracy. In this context, this paper analyzed how pauicipators communicate with others at cyber bulletin board establishing candidate's home pages. Main research questions is how do discussions at cyberspace fulfill the conditions of deliberate democracy. Therefore, concrete questions include; who are participators at candidate's cyber bulletin board; which pattern do they communicate; what is the theme of communication; which effects do the anonymous character of cyberspace influence. To that purpose, this study conducted content analysis on 4,210 written matters at 82 cyber bulletin boards of candidate's home page establishing during 16th the general election period. It can be found that cyberspace in Korea still is not deliberate democracy space and not will be. Firstly, discussion patterns at cyber bulletin board is "candidate with supporters communication space. To be exact, it is said that candidate's home page is "the space of self-convincing among supporters." Secondly, the main themes of discussion are simple emotional expressions; "I support you!" "fighting" "Be vigor" etc. By contrast, real political contents'-central or local political matters - is relatively few. In the mode of expression, real political messages are more positive, logical than simple expressions, candidates private matters. Especially this characteristic will make cyberspace as "mutual slander space" consolidating anonymous characteristic of cyberspace. finally, Cyberspace in Korea still is not real "public sphere" realizing deliberate process. Therefore to be real public sphere, it is needed to participant's ethical maturity and political citizenship. In conclusion, it is difficult that cyberspace will reconstruct the Athene's Agora. On the contrary, Cyberagora will like to be irrespectable area fulfilling the sweeping. Making the deliberate space, technological possibility and ethical condition will have to be balanced together.

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Toward an integrated model of emotion recognition methods based on reviews of previous work (정서 재인 방법 고찰을 통한 통합적 모델 모색에 관한 연구)

  • Park, Mi-Sook;Park, Ji-Eun;Sohn, Jin-Hun
    • Science of Emotion and Sensibility
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    • v.14 no.1
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    • pp.101-116
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    • 2011
  • Current researches on emotion detection classify emotions by using the information from facial, vocal, and bodily expressions, or physiological responses. This study was to review three representative emotion recognition methods, which were based on psychological theory of emotion. Firstly, literature review on the emotion recognition methods based on facial expressions was done. These studies were supported by Darwin's theory. Secondly, review on the emotion recognition methods based on changes in physiology was conducted. These researches were relied on James' theory. Lastly, a review on the emotion recognition was conducted on the basis of multimodality(i.e., combination of signals from face, dialogue, posture, or peripheral nervous system). These studies were supported by both Darwin's and James' theories. In each part, research findings was examined as well as theoretical backgrounds which each method was relied on. This review proposed a need for an integrated model of emotion recognition methods to evolve the way of emotion recognition. The integrated model suggests that emotion recognition methods are needed to include other physiological signals such as brain responses or face temperature. Also, the integrated model proposed that emotion recognition methods are needed to be based on multidimensional model and take consideration of cognitive appraisal factors during emotional experience.

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A Study on the Visual Expression of the Characters for the Narrative in Animation - A Focus on Skeleton Character in "Coco(2017)" by Pixar - (장편 애니메이션 내러티브를 위한 캐릭터의 시각적 표현에 관한 연구 -픽사(PIXAR) "코코(2017)"의 해골 캐릭터를 중심으로-)

  • Kim, Soong-Hyun
    • Journal of Digital Convergence
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    • v.17 no.12
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    • pp.451-459
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    • 2019
  • This study is aims to examine how the skeleton character in Pixar's Animation is visualized for the narrative of the film and suggests the direction of attractive character development corresponding to the story. First of all, it was conducted the case studies on the narrative of animation, character design, character's emotion expression, and animations featuring skeleton character. Based on this study, it was derived the visual representation of the skeleton character featuring in and analyzed the role and function in the animation. As a result, the expressions by the skeleton's eyes, eyebrows, mouth, lips, and jaw played the most important role for the emotional expression and lines in , and the major characteristic for human facial expression was reflected in the design of the skeleton character. In addition, the various props were used to provide the detailed informations of the skeleton's character, and it was expressed the movement emphasizing its essential attribute. Finally, the skeleton's symbolic image was strengthened by composing and arranging the skeleton's image through Mise en scene. It is expected that this study will be used as a reference for the animation character related researchers and practitioners in the business and it helps develop attractive characters fir the narrative animation in the future.

Artificial Intelligence for Assistance of Facial Expression Practice Using Emotion Classification (감정 분류를 이용한 표정 연습 보조 인공지능)

  • Dong-Kyu, Kim;So Hwa, Lee;Jae Hwan, Bong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1137-1144
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    • 2022
  • In this study, an artificial intelligence(AI) was developed to help with facial expression practice in order to express emotions. The developed AI used multimodal inputs consisting of sentences and facial images for deep neural networks (DNNs). The DNNs calculated similarities between the emotions predicted by the sentences and the emotions predicted by facial images. The user practiced facial expressions based on the situation given by sentences, and the AI provided the user with numerical feedback based on the similarity between the emotion predicted by sentence and the emotion predicted by facial expression. ResNet34 structure was trained on FER2013 public data to predict emotions from facial images. To predict emotions in sentences, KoBERT model was trained in transfer learning manner using the conversational speech dataset for emotion classification opened to the public by AIHub. The DNN that predicts emotions from the facial images demonstrated 65% accuracy, which is comparable to human emotional classification ability. The DNN that predicts emotions from the sentences achieved 90% accuracy. The performance of the developed AI was evaluated through experiments with changing facial expressions in which an ordinary person was participated.