• 디지털콘텐츠학회 논문지
• /
• 제18권7호
• /
• pp.1293-1301
• /
• 2017

최근 핵가족화, 개인화 등과 같은 사회구조 변화로 개인 및 사회적 문제가 대두되고 있으며, 부정적 감정 증폭으로 인해 다양한 문제의 원인이 되기도 한다. 과거에 심리적 안정감을 주는 가족 구성원의 부재는 현대인의 감정적 어려움의 대표적인 원인으로 꼽을 수 있다. 이러한 개인 및 사회적 문제를 일상생활에서 사용자와 교감하는 컴패니언 로봇의 공감 인터랙션을 통해 해결하고자 한다. 본 연구에서는 감성 로봇 프로토타입 제작을 통해 정교한 공감 인터랙션 디자인을 하였으며, 실험을 통해 연구를 진행하였다. 그 결과로 감성 로봇의 공감 인터랙션에 얼굴 인터랙션이 크게 영향을 미치며, 부정 감성에서 인터랙션이 로봇의 공감도를 높이는 것을 확인할 수 있었다. 결과적으로 본 연구는 감성 로봇을 제작하여 더욱 정교한 인터랙션을 구현하였다는 점과, 실험 결과를 바탕으로 로봇의 공감 인터랙션 디자인 가이드라인을 제시하였다는 점에서 이론적 및 실용적 의의가 있다.

• ETRI Journal
• /
• 제40권4호
• /
• pp.483-498
• /
• 2018

Nowadays, with progresses in robotic science, the design and implementation of a mechanism for human-robot interaction with a low workload is inevitable. One notable challenge in this field is the interaction between a single human and a group of robots. Therefore, we propose a new comprehensive framework for single-human multiple-robot remote interaction that can form an efficient intelligent adaptive interaction (IAI). Our interaction system can thoroughly adapt itself to changes in interaction context and user states. Some advantages of our devised IAI framework are lower workload, higher level of situation awareness, and efficient interaction. In this paper, we introduce a new IAI architecture as our comprehensive mechanism. In order to practically examine the architecture, we implemented our proposed IAI to control a group of unmanned aerial vehicles (UAVs) under different scenarios. The results show that our devised IAI framework can effectively reduce human workload and the level of situation awareness, and concurrently foster the mission completion percentage of the UAVs.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2001년도 ICCAS
• /
• pp.155.3-155
• /
• 2001

Researches of multi-robot system are active in these days. The most remarkable characteristic of multirobot system is that the robots work cooperatively and achieve the task which a single robot cannot do. It is essential to investigate number effect of multi-robot system. In this paper, we chose foraging task and investigated their behavior. At first, we investigated the foraging behavior in case that interaction range is Infinite. Secondly, we investigated the behavior in case that interaction range is finite. In both case, we find out there is an optimum interaction duration.

• 아동학회지
• /
• 제33권1호
• /
• pp.237-259
• /
• 2012

The purpose of this study is to examine how children perceived the use of intelligent service robots in early childhood education and identifying the characteristics of the interaction between the children concerned and the robots. The subjects of this study were 49 kindergarten students from Girin Kindergarten in Gyeonggi-do. The results of this study suggested that the children personalized the robot and recognized it as their friend, regardless of their ages. In the interactions between the children and the robot, the children engaged in physical contact with the robot and occasionally tried to control its functions. In the child-robot interaction, the children searched their favorite functions and used them repeatedly, but also lost interest in those repeated functions. Regardless of their interest levels, however, the attendance or portfolio organization functions. With regard to the interaction between peers, there were frequent quarrels regarding the use of the robot at first, but these conflicts were resolved by the intervention of peers or teachers, and the children who were familiar with the use of the robot helped their friends; this was viewed as constituting cooperative behavior. Children usually used the robot with their friends. The robot was a medium for children to find new friends. Peer group activities were explored and new friendships were created as a result of the use of the robot.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
• /
• pp.16-19
• /
• 2003

This paper describes research on mental commit robot that seeks a different direction from industrial robot, and that is not so rigidly dependent on objective measures such as accuracy and speed. The main goal of this research is to explore a new area in robotics, with an emphasis on human-robot interaction. In the previous research, we categories robots into four categories in terms of appearance. Then, we introduced a cat robot and a seal robot, and evaluated them by interviewing many people. The results showed that physical interaction improved subjective evaluation. Moreover, a priori knowledge of a subject has much influence into subjective interpretation and evaluation of mental commit robot. In this paper, 133 subjects evaluated the seal robot, Paro by questionnaires in an exhibition at the National Museum of Science and Technology in Stockholm, Sweden. This paper reports the results of statistical analysis of evaluation data.

• International journal of advanced smart convergence
• /
• 제4권2호
• /
• pp.154-162
• /
• 2015

This paper focuses on how cognitive and emotional structures affect humans during long-term interaction. We design an interaction with a turn-based game, the Chopstick Game, in which two agents play with numbers using their fingers. While a human and a robot agent alternate turn, the human user applies herself to play the game and to learn new winning skills from the robot agent. Conventional valence and arousal space is applied to design emotional interaction. For the robotic system, we implement finger gesture recognition and emotional behaviors that are designed for three-dimensional virtual robot. In the experimental tests, the properness of the proposed schemes is verified and the effect of the emotional interaction is discussed.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 19-21 Oct. 1992
• /
• pp.555-557
• /
• 1992

Recently, realization of an intelligent cooperative interaction system between a man and robot systems is required. In this paper, HyperCard with a voice control is used for above system because of its easy handling and excellent human interfaces. Clicking buttons in the HyperCard by a mouse device or a voice command means controlling each joint of a robot system. Robot teaching operation of grasping a bin and pouring liquid in it into a cup is carried out. This robot teaching method using HyperCard provides a foundation for realizing a user friendly cooperative interaction system.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2003년도 ICCAS
• /
• pp.651-656
• /
• 2003

This paper describes research on mental commit robot that seeks a different direction from industrial robot, and that is not so rigidly dependent on objective measures such as accuracy and speed. The main goal of this research is to explore a new area in robotics, with an emphasis on human-robot interaction. Mental commit robots provide psychological, physiological, and social effects to human beings through physical interaction. In the previous research, we categorized robots into four categories in terms of appearance. Then, we introduced a cat robot and a seal robot, and evaluated them by interviewing many people. The results showed that physical interaction improved subjective evaluation. Moreover, a priori knowledge of a subject has much influence into subjective interpretation and evaluation of mental commit robot. In this paper, 95 subjects evaluated the seal robot, Paro by questionnaires in an exhibition at the Japan cultural institute in Rome, Italy for 4 days from June 25th to 28th, 2003. This paper reports the results of statistical analysis of evaluation data.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2002년도 ICCAS
• /
• pp.49.1-49
• /
• 2002

$\textbullet$ Intelligent Space 1. Optimal Camera Arrangement 2. People Tracking 3. Physical Robot 4. Robot Control 5. People Following Robot $\textbullet$ Initial stage for making high-level human robot interaction. http://dfs.iis.u-tokyo.ac.jp/∼leejooho/ispace/.

• 로봇학회논문지
• /
• 제14권1호
• /
• pp.22-30
• /
• 2019

For effective human-robot interaction, robots need to understand the current situation context well, but also the robots need to transfer its understanding to the human participant in efficient way. The most convenient way to deliver robot's understanding to the human participant is that the robot expresses its understanding using voice and natural language. Recently, the artificial intelligence for video understanding and natural language process has been developed very rapidly especially based on deep learning. Thus, this paper proposes robot vision to audio description method using deep learning. The applied deep learning model is a pipeline of two deep learning models for generating natural language sentence from robot vision and generating voice from the generated natural language sentence. Also, we conduct the real robot experiment to show the effectiveness of our method in human-robot interaction.