• Proceedings of the KIEE Conference
• /
• 2002.11c
• /
• pp.505-508
• /
• 2002

An emotionally modeled robot is dealt in this paper. The emotional model is required especially in the entertainment robot. Recently, the entertainment robots have been developed as the next generation of electronic toys. They require several capabilities such as perceiving, acting, communication, and surviving. The owner recognizes the communication with a entertainment robot by observing its expression and reaction. The expression is realized by emotion-based actions based on moving, dancing, sounding, speaking, and lighting. Therefore, we propose an emotional modeling algorithm, using the fuzzy logic system, in this paper. Good performance of the algorithm is confirmed by the result of a simulation.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1998.04a
• /
• pp.17-24
• /
• 1998

Noweays, The flow of international relations have to competition with product of each nation, a means of this competitoveness is developmennt of goods based on nation culture. That is in need to development of design have color of our country make sure of original design. Now we need a positive opposed to wants of consumers with expaneded market, so as to need of develogment of distinctive design. And then, this stuey have purpose analory of distinctive design as a ilustrate to case of traditional design with on a conjoint analysis, look into the modeling method and meaning of traditional design. At first, it setting up the base of design development, as a present into a investigate to extract course of shape's element for design distinction. And look around about the developing case of domestic company and modeling method, a pattern of traditional design development, As on of distinction's way has doing conjoint analysis for abstract to character of traditional form and have devdloping to product with a present expression elements and design concept for a basis.

• Journal of Information Processing Systems
• /
• v.1 no.1 s.1
• /
• pp.107-111
• /
• 2005

When a pedagogical agent system aims to provide students with interactive help, it needs to know what knowledge the student has and what goals the student is currently trying to achieve. That is, it must do both assessment and plan recognition. These modeling tasks involve a high level of uncertainty when students are allowed to follow various lines of reasoning and are not required to show all their reasoning explicitly. In this paper, the student model for interactive edutainment applications is proposed. This model is based on Bayesian Networks to expose constructs and parameters of rules and propositions pertaining to game and problem solving activities. This student model could be utilized as the emotion generation model for student and agent as well.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2000.04a
• /
• pp.328-329
• /
• 2000

A viscosity resistance control method of the intelligent prosthetic legs is studied using an optimal control theory. The simulated results suggests that it is important to control the viscosity of the prosthetic knee joint in one period of walking to improve the usability. In this paper we describe modeling of the thigh prosthetic legs, optimal control and simulated results.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1998.11a
• /
• pp.261-266
• /
• 1998

손끝으로 물건을 문지르거나 잡아 질감을 느끼는 경우 나타나는 현상을 Hertzian 접촉이론을 응용하여 수학적인 모델링을 하였다. 물체표면에 손끝이 접촉하여 눌려지게되면 변형이 일어나게 되고 변형된 모양과 정도에 따라 촉감을 느끼게 .된다. 손끝은 점탄성체로서 누르는 변위에 따라 탄성계수와 점성계수 값이 비선형으로 변하게 되는 현상을 이론과 실험을 통하여 연구하였다. 특히 손끝이 직물을 누를 때 나타나는 현상을 측정하여 질감표현과의 관계를 분석하였다.

• Science of Emotion and Sensibility
• /
• v.2 no.1
• /
• pp.27-33
• /
• 1999

손끝으로 물건을 문지르거나 잡아 질감을 느끼는 경우 나타나는 현상을 Hertzian 접촉이론을 응용하여 수학적인 모델링을 하였다. 물체표면에 손끝이 접촉하여 눌러지게되면 변형이 일어나게 되고 변형된 모양과 정도에 따라 촉감을 느끼게 된다. 손끝은 비선형으로 변형되므로 누르는 변위에 따라 탄성계수 값이 변하는 현상을 실험을 통하여 확인하였으며 모델링한 식과 비교한 결과 유사한 경향을 보였다. 특히 손끝이 직물을 누르며 문지를 때 힘이 크기변화를 측정하여 질감표현과의 관계를 분석하였다.

• Korean Journal of Child Studies
• /
• v.36 no.2
• /
• pp.17-37
• /
• 2015

The study examined the pathways from maternal reactions to children's negative emotions to children's peer relations through children's empathy and emotional regulation. The participants in this study comprised 463 elementary school 4th-6th graders. They completed questionnaires on maternal reactions to children's negative emotions, levels of children's empathy, maladaptive emotion regulation types and skill levels of children's peer relations. Data were analyzed by means of structural equation modeling. It was found that in the case of maternal emotion coaching reactions, when done indirectly, as well as directly, had an influence on their levels of peer relations. On the other hand, in the case of over-sensitive maternal reactions, when done indirectly, but not directly, had an influence on their levels of peer relations. Therefore, these results indicate that children's empathy mediated the effects of maternal emotion coaching and over-sensitive reactions on peer relations. It also found that there are distinct pathways from maternal reaction types to children's negative emotions to peer relations through empathy and maladaptive emotion regulation types.

• The Journal of the Korea Contents Association
• /
• v.12 no.5
• /
• pp.357-369
• /
• 2012

The purpose of this paper is to explain and identify how atmospherics of web-sites such as graphics, colour, menu and link have an effect on consumers' emotion and satisfaction, which in turn have influence on repurchase intention in internet shopping malls. A survey study was conducted to collect the data with consumers who have experience purchase or search on internet shopping malls. Analysis of structural equation modeling with AMOS 18.0 was performed to test the research hypothesis. The results of the study are as follows: Menu and link are positively associated on consumers' emotion, but graphics and colour have not influence on both consumers' emotion and satisfaction. Consumers' emotion is positively associated on both satisfaction and repurchase intention, and then satisfaction is also positively associated on repurchase intention.

• Korean Journal of Child Studies
• /
• v.35 no.4
• /
• pp.61-78
• /
• 2014

The study examined the pathways from maternal reactions to children's negative emotions to children's emotion intelligence through children's resilience by gender. The participants in this study comprised 413 elementary school 4th-6th graders (of which 214 were boys, and 199 were girls). They completed questionnaires on maternal reactions to children's negative emotions, children's resilience and levels of children's emotional intelligence. Data were analyzed by means of T-test and structural equation modeling. In the case of the male group, it was found that maternal emotion coaching, when done indirectly, but not directly, had an influence on their levels of emotional intelligence. On the other hand, in the case of the female group, it was found that emotion coaching, when done indirectly, as well as directly, had an influence on their levels of emotional intelligence. Therefore, these results indicate that children's resilience mediated the effects of maternal emotion coaching on emotional intelligence. It also found that there are distinct pathways from maternal reactions to children's negative emotions to emotion intelligence through resilience by gender.

• Smart Media Journal
• /
• v.13 no.6
• /
• pp.35-43
• /
• 2024

During the post-pandemic period, the interest in foreign language learning surged, leading to increased usage of language-learning apps. With the rising demand for these apps, analyzing app reviews becomes essential, as they provide valuable insights into user experiences and suggestions for improvement. This research focuses on extracting insights into users' opinions, sentiments, and overall satisfaction from reviews of HelloTalk, one of the most renowned language-learning apps. We employed topic modeling and emotion analysis approaches to analyze reviews collected from the Google Play Store. Several experiments were conducted to evaluate the performance of sentiment classification models with different settings. In addition, we identified dominant emotions and topics within the app reviews using feature importance analysis. The experimental results show that the Random Forest model with topics and emotions outperforms other approaches in accuracy, recall, and F1 score. The findings reveal that topics emphasizing language learning and community interactions, as well as the use of language learning tools and the learning experience, are prominent. Moreover, the emotions of 'admiration' and 'annoyance' emerge as significant factors across all models. This research highlights that incorporating emotion scores into the model and utilizing a broader range of emotion labels enhances model performance.