• Title/Summary/Keyword: Learning Emotions

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Classification of Negative Emotions based on Arousal Score and Physiological Signals using Neural Network (신경망을 이용한 다중 심리-생체 정보 기반의 부정 감성 분류)

  • Kim, Ahyoung;Jang, Eun-Hye;Sohn, Jin-Hun
    • Science of Emotion and Sensibility
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    • v.21 no.1
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    • pp.177-186
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    • 2018
  • The mechanism of emotion is complex and influenced by a variety of factors, so that it is crucial to analyze emotion in broad and diversified perspectives. In this study, we classified neutral and negative emotions(sadness, fear, surprise) using arousal evaluation, which is one of the psychological evaluation scales, as well as physiological signals. We have not only revealed the difference between physiological signals coupled to the emotions, but also assessed how accurate these emotions can be classified by our emotional recognizer based on neural network algorithm. A total of 146 participants(mean age $20.1{\pm}4.0$, male 41%) were emotionally stimulated while their physiological signals of the electrocardiogram, blood flow, and dermal activity were recorded. In addition, the participants evaluated their psychological states on the emotional rating scale in response to the emotional stimuli. Heart rate(HR), standard deviation(SDNN), blood flow(BVP), pulse wave transmission time(PTT), skin conduction level(SCL) and skin conduction response(SCR) were calculated before and after the emotional stimulation. As a result, the difference between physiological responses was verified corresponding to the emotions, and the highest emotion classification performance of 86.9% was obtained using the combined analysis of arousal and physiological features. This study suggests that negative emotion can be categorized by psychological and physiological evaluation along with the application of machine learning algorithm, which can contribute to the science and technology of detecting human emotion.

Emotion Classification of User's Utterance for a Dialogue System (대화 시스템을 위한 사용자 발화 문장의 감정 분류)

  • Kang, Sang-Woo;Park, Hong-Min;Seo, Jung-Yun
    • Korean Journal of Cognitive Science
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    • v.21 no.4
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    • pp.459-480
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    • 2010
  • A dialogue system includes various morphological analyses for recognizing a user's intention from the user's utterances. However, a user can represent various intentions via emotional states in addition to morphological expressions. Thus, a user's emotion recognition can analyze a user's intention in various manners. This paper presents a new method to automatically recognize a user's emotion for a dialogue system. For general emotions, we define nine categories using a psychological approach. For an optimal feature set, we organize a combination of sentential, a priori, and context features. Then, we employ a support vector machine (SVM) that has been widely used in various learning tasks to automatically classify a user's emotions. The experiment results show that our method has a 62.8% F-measure, 15% higher than the reference system.

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Relationship between Elementary School Students' Bullying Experience and Bioethics (초등학생의 집단따돌림 경험 정도와 생명윤리의식과의 관계)

  • Moon, Mi Young
    • Journal of the Korean Society of School Health
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    • v.28 no.2
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    • pp.127-138
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    • 2015
  • The purpose of this study was to examine the relationship of bully/victim experiences and bioethics of 5th and 6th graders. Participants were 326 elementary school students. Methods: The data was collected from 1th to 30th October, 2014 in G City. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation and multiple regression and Scheff$\acute{e}$ post-hoc analysis by SPSS 18.0. Results: First, in regard to bioethics, significant factors were liking for growing plants (p<.001), emotions after killing insects (p<.001) and the number of friends (p=.003). In regard to bullying experiences, significant factors were gender (p=.021), religion (p=.026), participation in religious activity (p=.019), liking for growing plants (p=.009), insect killing experience (p=.009). The bioethics score of the victim group (2.70 point) were higher than the bully group (2.49 point). The relationship between bully/victim experiences and bioethics was negative. The factors affecting bioethics were liking for growing plants (${\beta}=.159$, p=.004), the number of friends (${\beta}=.124$, p=.030), experiences of being bullied (${\beta}=.352$, p<.001), emotions after killing insects (${\beta}=-.135$, p=.011). Conclusion: Therefore, based on the results of this study, it is required to develop rich learning content and a variety of teaching and learning models for bioethics. Efficient bioethics program would help elementary school students have a higher bioethics awareness. The entire society and families should wake up to the evil effects of school bullying and make concerted efforts to root it out with a sense of responsibility.

Emotion Recognition and Expression System of User using Multi-Modal Sensor Fusion Algorithm (다중 센서 융합 알고리즘을 이용한 사용자의 감정 인식 및 표현 시스템)

  • Yeom, Hong-Gi;Joo, Jong-Tae;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.20-26
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    • 2008
  • As they have more and more intelligence robots or computers these days, so the interaction between intelligence robot(computer) - human is getting more and more important also the emotion recognition and expression are indispensable for interaction between intelligence robot(computer) - human. In this paper, firstly we extract emotional features at speech signal and facial image. Secondly we apply both BL(Bayesian Learning) and PCA(Principal Component Analysis), lastly we classify five emotions patterns(normal, happy, anger, surprise and sad) also, we experiment with decision fusion and feature fusion to enhance emotion recognition rate. The decision fusion method experiment on emotion recognition that result values of each recognition system apply Fuzzy membership function and the feature fusion method selects superior features through SFS(Sequential Forward Selection) method and superior features are applied to Neural Networks based on MLP(Multi Layer Perceptron) for classifying five emotions patterns. and recognized result apply to 2D facial shape for express emotion.

A study on the emotional changes of learners according to the emotions provided by virtual characters (가상 캐릭터가 제공하는 감정에 따른 학습자의 감정적 반응에 관한 연구)

  • Choi, Dong-Yeon
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.155-164
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    • 2022
  • Considerable interest has been directed toward utilizing virtual environment-based simulations for teacher education which provide authentic experience of classroom environment and repetitive training. Emotional Interaction should be considered for more advanced simulation learning performance. Since emotion is important factors in creative thinking, inspiration, concentration, and learning motivation, identifying learners' emotional interactions and applying these results to teaching simulation is essential activities. In this context, this study aims to identify the objective data for the empathetic response through the movement of the learner's EEG (Electroencephalogram) and eye-tracking, and to provide clues for designing emotional teaching simulation. The results of this study indicated that intended empathetic response was provided and in terms of valence (positive and negative) states and situational interest played an important role in determining areas of interest. The results of this study are expected to provide guidelines for the design of emotional interactions in simulations for teacher education as follow; (a) the development of avatars capable of expressing sophisticated emotions and (b) the development of scenarios suitable for situations that cause emotional reactions.

A Case Study on the Cinema Therapy Class - Focusing on the movie Life of Pi(2013)- (영화치유 수업사례 연구 - 영화 <라이프 오브 파이>(2013)를 중심으로-)

  • Hae Rang Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.105-112
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    • 2023
  • This study is an example of a Cinema Therapy class through the movie Life of Pi (2013). Cinema Therapy proceeds through the process of identification, empathy, projection, and observational learning through the cinema. Through research, students objectively examine the situation of the characters in the movie, identify themselves, and empathize with them. Students evaluate the situation of the character in the movie, and indirectly experience the hardships facing the character in the movie through the answer to "What would you do if I were the main character?" and think about what they would do. I admire the outstanding points of the main character and reflect on my life. Through this process, students examine the situation of their emotions and problems and specifically suggest ways to solve them. In the end, students' emotions can be fully healed through the movie. Healing through the cinema should start with the selection of the cinema in consideration of the healer's client. It is also necessary to sufficiently present a specific method of applying this. It is expected that the cinema healing plan will be able to develop further by presenting various healing methods in the future.

Sentiment Prediction using Emotion and Context Information in Unstructured Documents (비정형 문서에서 감정과 상황 정보를 이용한 감성 예측)

  • Kim, Jin-Su
    • Journal of Convergence for Information Technology
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    • v.10 no.10
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    • pp.40-46
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    • 2020
  • With the development of the Internet, users share their experiences and opinions. Since related keywords are used witho0ut considering information such as the general emotion or genre of an unstructured document such as a movie review, the sensitivity accuracy according to the appropriate emotional situation is impaired. Therefore, we propose a system that predicts emotions based on information such as the genre to which the unstructured document created by users belongs or overall emotions. First, representative keyword related to emotion sets such as Joy, Anger, Fear, and Sadness are extracted from the unstructured document, and the normalized weights of the emotional feature words and information of the unstructured document are trained in a system that combines CNN and LSTM as a training set. Finally, by testing the refined words extracted through movie information, morpheme analyzer and n-gram, emoticons, and emojis, it was shown that the accuracy of emotion prediction using emotions and F-measure were improved. The proposed prediction system can predict sentiment appropriately according to the situation by avoiding the error of judging negative due to the use of sad words in sad movies and scary words in horror movies.

A study on stress in Children (소아(小兒) stress에 관한 문헌적(文獻的) 고찰(考察))

  • Kim, Ki-Bong;Kim, Jang-Hyun
    • The Journal of Pediatrics of Korean Medicine
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    • v.16 no.1
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    • pp.105-124
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    • 2002
  • With the progress of civilization, the disorders due to the stress, which derived from the social-structural complexity and diversity, are on an increasing trend in our times. Accordingly, the accurate diagnosis and appropriate treatment for them are required. Especially in the current years, children's disorders delivered by the emotional problems keep increasing. In this research, the researcher tried to figure out the cause of the children's stress and its treatment, studied the theories of the stress in the modem medicine and the sever emotions in oriental medicine, and came to the conclusion as follows: 1. The stress can be defined as the combination of the reaction to noxious stimuli and its defense mechanism of the body, In oriental medicine, it is considered as pathological notions which includes seven emotions as the internal factor, six evils as the external factor and other foods, expectoration, ecchymoma as the non-internal/external factors. 2. Children usually get stressed by various reasons in a growth process such as schooling, relationship with friends, the opposite sex of family, or change of surroundings, and these can cause the various disorders. 3. In the study of the children's stress symptoms, it is found that the silent reaction is uncommon. It usually appeared in both reactions: firs, physical reactions such as stomachache, vomiting, headache, neural frequent urination, bronchial asthma or excessive respiration and/or, second, behavioral reactions such as a decline of performance, alimentary disorder, e.g. anorexia nervosa or bulimia, sleep disorder, e.g. nightmare or panic in sleep, anthrophobia, refusal to a school attendance or hyperactiveness. Besides, the peculiar mental disorder such as paroxysm of anger, tic, autism, nocturnal enuresis, lack of attentiveness, impediment in linguistic development, learning difficulty, intellectual decline, etc. can be appeared, and the heavy stress during the babyhood can cause the regression of behavior or the immaturity of formation of character. 4. The appropriate treatments for the children's stress are Osteopathy, Manpulation, Aroma Therapy, Alexander Technique, Autonomic Never Control Treatment, Biofeedback, Chiropractic, Dance Therapy, Feldenkrasis Technique, Gravity Therapy, Homepathy, Aquatherapy, Hypnotherapy, Naturopathy and Meditation.

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Status and Characteristic of Sasang Constitutional Medicine Philosophy Research in China through CNKI (CNKI에서 중국의 사상체질의학(四象體質醫學) 철학 연구 현황과 특징)

  • Bae, Young-Chun
    • Journal of Sasang Constitutional Medicine
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    • v.31 no.1
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    • pp.26-35
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    • 2019
  • The purpose of this study is to understand how Sasang Constitutional Medicine has been understood in China. Methods I searched for topics in Chinese such as Sasang medicine (四象醫學), Sasang constitution (四象體質), Chao medicine (朝醫), philosophy (哲學), principles (原理), the school of Confucianism (儒家), Confucianism (儒學) and ideology (思想) in CNKI database on January 15, 2019. The selected studies were summarized as three sections; the basic principles of Sasang Constitutional Medicine, influences of Confucianism and comparison with other medicines. Results In China, the principles of Sasang Constitutional Medicine is explained using the concepts such as Heaven-Human-Nature-Order, the Great Ultimate (Taiji), Two Modes (Liang-Yi), Sasang, heart, sorrow-anger-joy-pleasure, nature-emotions (Xingqing), and viscera-bowels (Zang-Fu). Sasang Constitutional Medicine is considered to has been influenced by Confucianism. The form of Sasang Constitutional Medicine was affected by the Book of Changes (Zhouyi), and the contents were impacted by the Great Learning (Daxue), the Doctrine of the Mean (Zhongyong), the Mencius (Mengzi) and the Analects (Lunyu). Sasang Constitutional Medicine have distinctive characteristics in comparison with other medicines, such as inherent determinations of constitution, organs difference by constitution the actions of nature, emotions and desire, recognition of humans as social beings, and the signification of heart as a presiding center. Conclusion In China, the philosophy of Sasang Constitutional Medicine has been studied with basis of four-element structure; activity, mind, body and matter. Also, it has been researched in medical aspects of human trying to control the nature and emotions to be physically, mentally and socially healthy.

A Text Mining Analysis on Students' Perceptions about Capstone Design: Case of Industrial & Management Engineering (텍스트 마이닝을 활용한 캡스톤 디자인에 관한 학생 인식 탐색: 산업경영공학 사례)

  • Wi, Gwang-Ho;Kim, Yun-jin;Kim, Moon-Soo
    • Journal of Engineering Education Research
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    • v.25 no.5
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    • pp.85-93
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    • 2022
  • Capstone Design, a project-based learning technique, is the most important curriculum that clarifying major knowledge and cultivating the ability to apply through the process of solving problems in the industrial field centered on the student project team. Accordingly, various and extensive studies are being conducted for the successful implementation of capstone design courses. Unlike previous studies, this study aimed to quantitatively analyze the opinions that recorded the experiences and feelings of students who performed capstone design, and used text mining methodologies such as frequency analysis, correlation analysis, topic modeling, and sentiment analysis. As a result of examining the overall opinions of the latter period through frequency analysis and correlation analysis, there was a difference between the languages used by the students in the opinions according to gender and project results. Through topic modeling analysis, 'topic selection' and 'the relationship between team members' showed an increase in occupancy or high occupancy, and topics such as 'presentation', 'leadership', and 'feeling what they felt' showed a tendency to decreasing occupancy. Lastly, sentiment analysis has found that female students showed more neutral emotions than male students, and the passed group showed more negative emotions than the non-passed group and less neutral emotions. Based on these findings, students' practical recognition of the curriculum was considered and implications for the improvement of capstone design were presented.