• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.670-672
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• 2022

이러닝 시스템을 유용하게 활용하려면 학습자의 감정을 인식하여 학습자에게 적절한 피드백을 주는 것이 무엇보다 중요하다. 이러닝 시스템의 학습효율을 높이기 위해서는 학습자의 감정을 인식하여 그에 적절한 피드백을 제공하는 것이 중요하다. 본 논문에서는 학습자에 대한 적절한 피드백을 제공하기 위해서 상황인식 컴퓨팅 기술을 바탕으로 학습자의 감정표현단어를 상황정보로 사용하여 감정을 인식할 수 있는 상황인식 미들웨어로서 EF-CAM을 제안한다. EF-CAM은 감정표현단어의 범주화기술을 기반으로 온톨로지를 구축하여 학습자의 감정을 인식한다. 이러닝 학습자의 감정을 인식하기 위해서 학습자의 감정표현 단어를 상황정보로 사용하고, 학습자의 감정에 영향을 미칠 수 있는 환경정보(온도, 습도, 날씨 등)를 추가하여 인식한다. 학습자의 감정을 표현하기 위해서 OWL 언어를 사용하여 온톨로지를 구축하였다.

• Proceedings of the Korea Contents Association Conference
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• 2006.05a
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• pp.160-163
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• 2006

If an instruction system understood the interest and activeness of a learner in real time, it could provide some interesting factors when a learner is tired of learning. It could work as an adaptive tutoring system to help a learner to understand something difficult to understand. Currently the area of the facial expression recognition mainly deals with the facial expression of adults focusing on anger, hatred, fear, sadness, surprising and gladness. These daily facial expressions couldn't be one of expressions of a learner in e-Learning. They should first study the facial expressions of a learner in e-Learning to recognize the feeling of a learner. Collecting as many expression pictures as possible, they should study the meaning of each expression. This study, as a prior research, analyzes the feelings of learners and facial expressions of learners in e-Learning in relation to the feelings to establish the facial expressions database.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.57-62
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• 2022

This study was conducted with the purpose of listening to the explanations of artworks in the non-face-to-face class and confirming the learner's feelings as a result of the class. The proposed system listens to the explanation of the artwork, inputs the learner's emotions with a dedicated key, and expresses the result in music. To this end, the direction of the non-face-to-face art appreciation class model using the emotion key was set, and based on this, a system for non-face-to-face art appreciation was constructed. The learner will use the 'smart device using the emotion key' proposed in this study to listen to the explanation of the artwork and to input the emotion for the question presented. Through the proposed system, learners can express their emotional state in online art classes, and instructors receive the results of class participation and use them in various ways for educational analysis.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.9
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• pp.391-398
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• 2022

As non face-to-face classes carry on discussion about learner's attention continues. To improve learning effect learner's attention is important whether non face-to-face classes or face-to-face classes. In this study a mobile application prototype inducing learner attention is developed taking account of learner emotion that is one of the factors affecting learner attention. When learner selects one of the four emotions displayed in the application, it shows the activity inducing the learner's attention related to the selected emotion. In order to evaluate the usability of the developed application, 32 middle and high school students are asked to run the application and then conduct a survey using 5 point Likert scale. The survey result indicates that there is a possibility that the developed application in this study induces learner attention as showing that the result point of 'I can pay attention' and 'I feel psychological stable' is respectively 3.56 and the result point of 'I feel useless thought disappear' is 3.6.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.565-577
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• 2024

This discussion looked at how emotional adjectives are connected in the format [[emotional adjective + '-ko(and)'] + emotional adjective]. As a result, it was confirmed that there are quite a few cases in which two or more emotional adjectives are used to express emotions in Korean. This can help Korean learners understand and express the individual lexical meanings of emotional adjectives more clearly by identifying emotional adjectives that are used together with the corresponding configuration. It was believed that it could help Korean language learners express complex emotions or create rich emotional expressions when expressing their emotions in Korean. It is hoped that the examples and frequency of [[emotional adjective+'-ko(and)'+emotional adjective] shown in this discussion will be of some help in teaching and learning Korean emotional vocabulary.

• The Journal of Korean Association of Computer Education
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• v.10 no.4
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• pp.125-133
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• 2007

Many researches have tried to introduce affective computing for Human-Computer Interaction (HCI). In the affective aspect, emotional memories significantly affect on people's cognitive processing activities. In this paper, to observe the effect of affective feedback for emotional state of learners in an e-learning environment, selected emotional feedback messages and delivery method are integrated into an e-learning system. Self reporting button for recognizing learner's emotional state are used for detecting learner's emotional states and the test results show that providing affective feedback to learner has positive effects in e-learning environment in terms of learner's academic achievements.

• Communications of Mathematical Education
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• v.35 no.4
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• pp.359-376
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• 2021

In this study, in accordance with the research trend that the learner's emotions expressed positively or negatively in mathematics learning or the learner's beliefs and attitudes toward mathematics learning affect the results of mathematics learning, the learner's emotions and affective factors are analyzed in the learner's own learning. A power that can be adjusted according to a goal or purpose is needed, and I tried to explain this power through meta-affect. To this end, the meaning of the definitional and conceptual factors of meta-affect was explored based on prior studies. Affective factors of meta-affect were viewed as emotions, attitudes, and beliefs, and conceptual factors of meta-affect were viewed as awareness, evaluating, controlling, utilization, and monitoring, and the meaning of each conceptual factor was also defined. In this study, the conceptual factors and meanings of meta-affect in terms of using them to help in learning mathematics by controlling them, beyond the identification or examination of the characteristics of the affective factors, which are meaningfully dealt with in the field of mathematics education.

• Journal of KIISE
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• v.44 no.12
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• pp.1252-1257
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• 2017

In dialogues, speakers' intentions can be represented by sets of an emotion, a speech act, and a predicator. Therefore, dialogue systems should capture and process these implied characteristics of utterances. Many previous studies have considered such determination as independent classification problems, but others have showed them to be associated with each other. In this paper, we propose an integrated model that simultaneously determines emotions, speech acts, and predicators using a convolution neural network. The proposed model consists of a particular abstraction layer, mutually independent informations of these characteristics are abstracted. In the shared abstraction layer, combinations of the independent information is abstracted. During training, errors of emotions, errors of speech acts, and errors of predicators are partially back-propagated through the layers. In the experiments, the proposed integrated model showed better performances (2%p in emotion determination, 11%p in speech act determination, and 3%p in predicator determination) than independent determination models.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.85-99
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• 2014

Recently youth problems such as school violence and bullying are becoming increasingly lower age. In order to overcome this situation highlights the importance of education and the emotions, which in analyzing the existing mobile app, only the most fun-oriented approach has been made and the information presented. It focuses on the emotion awareness and empathy abilities of learners diagnosis, training, application can be made at the level of educational mobile app prototype was developed. First, self-understanding, self-expression, others-understanding, and empathy of emotional competency derived from review of emotional awareness skills training programs. Second, by analyzing the existing emotion recognition app macro-principles and micro-strategy of mobile app's designs were derived. Third, accordi was conducted on prototype of storyboard and app the completed prototype was completed. The proposed app is a fun and learning by doing, also Depending on students' level of performance can be customized. The proposed mobile app is efficient and effective, engaging learning space as a systematic training in the diagnosis and the emotions through the elementary students will be able to improve emotional awaeness competency.