• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.482-491
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• 2009

The purpose of this research is to design and develop teacher assistant contents 'My Class' for an intelligent robot iRobiQ, using in early childhood educational setting. After observing daily activities and correspondence role of teachers in educational settings, we selected the robots' target contents as 6 main functions (Attendance, Activity, Gallery, Learning, Role Calling, and Timer). We designed the contents according to the PLU (Player-Learner-User) model which suggests importance of entertainment, education, and enabling features to meet player, learner, and user requirements. We also considered 'emotional' features to satisfy 'companion' requirements. The developed contents in this study was deployed in kindergarten classrooms consisting of five-years-old for 4 weeks to see how they response and use the contents. We found that both teachers and children were likely to show positive responses to the contents. Especially, young children responded to the entertainment and emotional features more actively than to the other features. And they continually explored for something new inside the contents. Finally, this paper discusses what should be considered to develop more useful teacher assistant contents for iRobiQ.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.325-326
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• 2008

서비스 로봇은 인간과 상호 교감을 하기 때문에 감성기반 인터렉션을 가지고 있어야 한다. 그리고 로봇이 인지하는 상황과 환경이 같을지라도 감정 기반 행동 결정 모델의 출력이 달라질수 있도록 한다. 이는 설계하고자 하는 감정 기반 행동 결정 모델의 특성을 변화함으써 해결하고자 하며, 감정 모델의 특성은 성격을 의미한다. 따라서 사람과 같이 성격을 달리함으로써 로봇이 감정을 느끼고 이에 따른 반응을 행동으로 옮길 때, 성격을 반영한 결과를 보이게 된다. 본 논문에서 제안하는 감정 엔진 모델은 reaction dynamics와 internal dynamics, emotional dynamics, behavior dynamics, 성격 등의 다섯 가지 요소로 구성되어 있다. 모든 dynamics는 성격에 영향을 받아 결과를 출력한다. 실험을 위하여 시뮬레이터를 구현하여 성능을 검증하고, 실제 로봇에 적용하기 위하여 3D 캐릭터기반의 헤드 로봇 시스템을 사용하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.1076-1094
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• 2022

Technology for emotion recognition is an essential part of human personality analysis. To define human personality characteristics, the existing method used the survey method. However, there are many cases where communication cannot make without considering emotions. Hence, emotional recognition technology is an essential element for communication but has also been adopted in many other fields. A person's emotions are revealed in various ways, typically including facial, speech, and biometric responses. Therefore, various methods can recognize emotions, e.g., images, voice signals, and physiological signals. Physiological signals are measured with biological sensors and analyzed to identify emotions. This study employed two sensor types. First, the existing method, the binary arousal-valence method, was subdivided into four levels to classify emotions in more detail. Then, based on the current techniques classified as High/Low, the model was further subdivided into multi-levels. Finally, signal characteristics were extracted using a 1-D Convolution Neural Network (CNN) and classified sixteen feelings. Although CNN was used to learn images in 2D, sensor data in 1D was used as the input in this paper. Finally, the proposed emotional recognition system was evaluated by measuring actual sensors.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.347-354
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• 2006

본 작품은 고령자에게 생활의 도움을 주면서 감성적으로 인간 친화적 역할을 수행하는 것을 목적으로 제작한 로봇이다. 고령화 사회 속에서 혼자 사는 노인들이 증가하는 사회현상을 바탕으로 노인의 노화로 인한 신체적 약점들 중 가장 많이 눈에 띄고 보편적인 증상을 일상 속에서 보완해 줄 수 있는 로봇을 개발하는데 중점을 두었다. 단순히 기능적인 편리성뿐 만 아니라 시각적으로 노인에게 즐거움을 주고 위안을 줄 수 있는 친근한 로봇은 노인이 생활하는데 큰 활력소가 될 것이다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.95-98
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• 2007

본 논문은 한국생산기술연구원에서 개발된 안드로이드 로봇(EveR Series) 플랫폼에 적용된 감성 시스템에 관한 내용을 제시한다. EveR 플랫폼은 얼굴 표정, 제스처, 음성합성을 수행 할 수 있는 플랫폼으로써 감성 시스템을 적용하여 인간 친화적인 상호작용을 원활하게 한다. 감성 시스템은 로봇에 동기를 부여하는 동기 모듈(Motivation Module), 다양한 감정들을 가지고 있는 감정 모듈(Emotion Module), 감정들, 제스처, 음성에 영향을 미치는 성격 모듈(Personality Module), 입력 받은 자극들과 상황들에 가중치를 결정하는 기억 모듈(Memory Module)로 구성되어 있다. 감성 시스템은 입력으로 음성, 텍스트, 비전, 촉각 및 상황 정보가 들어오고 감정의 선택과 가중치, 행동, 제스처를 출력하여 인간과의 대화에 있어서 자연스러움을 유도한다.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.489-492
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• 2004

In this paper, we propose a representation method of emotions in RIDE(Robot Intelligence with Digital Emotion) project. The method used in RIDE not only represents the emotional state in James-Lange Theory but also represents that of the Cannon-Bard Theory. Furthermore, our method allow the memorization of an emotion so as to process the self-inflicting emotion mentioned in the Schafter-Singer Theory. We also allow the similarity and differences in the characteristics by compaing of two emotions.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.766-769
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• 2004

IT(Information Technology)분야의 발전과 함께 RT(Robot Technology)분야도 21fl기의 유망한 첨단기술로 손꼽히고 있다. 현재의 로봇은 그동안 주류를 이루던 산업용 로봇과는 달리 소프트컴퓨팅, 인간친화 인터페이스, 상호작용기술, 음성인식, 물체인식, 사용자 의도파악 등 갖가지 최첨단 기술들이 요구되는 퍼스널 로봇이 각광을 받고 있으며, 특히 오락용, 교육용 로봇들로 대표되는 엔터테인먼트 로봇(Entertainment Robot)분야가 요즘 국내·외에서 활발히 연구되고 있는 실정이다. 엔터테인먼트 로봇은 정형화된 작업만을 하는 것이 아니라 다양한 환경에서 여러 가지 작업을 해야만 한다. 따라서, 장난감 로봇처럼 인간과의 감정대화가 가능한 지능 시스템을 갖춰야만 한다. 그러므로 본 논문에서는 If분야와 RT분야의 접목으로 시너지 효과를 크게 얻을 수 있는 새로운 기술 개념인 RCP(Robotic C태ular Phone)에 대한 개녕을 정의하고, RCP의 기능성 모듈 중 하나인 감성진동 모들에 대한 기본적인 이론과 실험적 결과를 롱하여 로보틱 셀폰의 감성진동 모듈의 우수성을 확인한다.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2231-2236
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• 2005

CP (Cellular Phone) is currently one of the most attractive technologies and RT (Robot Technology) is also considered as one of the most promising next generation technology. We present a new technological concept named RCP (Robotic Cellular Phone), which combines RT and CP. RCP consists of 3 sub-modules, $RCP^{Mobility}$, $RCP^{Interaction}$, and $RCP^{Integration}$. $RCP^{Interaction}$ is the main focus of this paper. It is an interactive emotion system which provides CP with multi-emotional signal receiving functionalities. $RCP^{Interaction}$ is linked with communication functions of CP in order to interface between CP and user through a variety of emotional models. It is divided into a tactile, an olfactory and a visual mode. The tactile signal receiving module is designed by patterns and beat frequencies which are made by mechanical-vibration conversion of the musical melody, rhythm and harmony. The olfactory signal receiving module is designed by switching control of perfume-injection nozzles which are able to give the signal receiving to the CP-called user through a special kind of smell according to the CP-calling user. The visual signal receiving module is made by motion control of DC-motored wheel-based system which can inform the CP-called user of the signal receiving through a desired motion according to the CP-calling user. In this paper, a prototype system is developed for multi-emotional signal receiving modes of CP. We describe an overall structure of the system and provide experimental results of the functional modules.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.1
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• pp.33-40
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• 2006

We present a new technological concept named RCP (Robotic Cellular Phone), which combines RT and CP. That is an ubiquitous robot. RCP consists of 3 sub-modules, RCP Mobility, RCP interaction, and RCP Integration. RCP Interaction is the main focus of this paper. It is an interactive emotion system which provides CP with multi-emotional signal receiving functionalities. RCP Interaction is linked with communication functions of CP in order to interface between CP and user through a variety of emotional models. It is divided into a tactile, an olfactory and a visual mode. The tactile signal receiving module is designed by patterns and beat frequencies which are made by mechanical-vibration conversion of the musical melody, rhythm and harmony. The olfactory signal receiving module is designed by switching control of perfume-injection nozzles which are able to give the signal receiving to the CP-called user through a special kind of smell according to the CP-calling user. The visual signal receiving module is made by motion control of DC-motored wheel-based system which can inform the CP-called user of the signal receiving through a desired motion according to the CP-calling user. In this paper, a prototype system is developed far multi-emotional signal receiving modes of CP. We describe an overall structure of the system and provide experimental results of the functional modules.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.2
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• pp.223-231
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• 2009

Purpose: The purpose of this study was to identify the effects on cognitive function, mood, problematic behaviors and response to interaction with robot pet by elderly people with dementia. Method: A methodological triangulation design with quantitative and qualitative methods was used. The participants were 9 elderly people with dementia. The intervention was conducted twice a week for 4 weeks, Qualitative data were collected by interviews and video-taping for analysis of the responses of participants, Results: 1) Cognitive function, mood and problematic behaviors did not show any significantly differences after the program. 2) Analysis of the responses showed increases in verbal communication and positive action. Conclusion: The robot pet program had positive effects such as increasing communication and interaction. Therefore, this program could be considered as an effective program for emotional support for elderly people with dementia. However further repetitive study is need to validate the result.