• 정보교육학회논문지
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• 제9권3호
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• pp.501-510
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• 2005

홈 로봇이 인간과 원활한 상호작용을 하기 위해서 인간과 로봇의 상호작용 즉 HRI(Human-Robot Interaction) 연구가 절실히 필요하다. 본 연구에서는 최근 개발된 홈 로봇 'iRobi'와 아동의 상호작용을 통해 홈 로봇이 아동의 심리적 인식에 어떤 영향을 미쳤는가와 홈 로봇 학습이 얼마나 효과적인가를 알아보았다. 심리적 인식 측면에서 홈 로봇과의 상호작용은 아동에게 친근감과 상호작용이 가능한 상대로 인식하도록 하였으며 아동의 불안을 해소시키는 것으로 분석되었다. 학습 효과 측면에서 홈 로봇을 이용한 경우가 다른 학습 매체(책, WBI)에 비해 학습 집중도와 학습 흥미도 그리고 학업 성취도가 높은 것으로 분석되었다. 따라서 홈 로봇은 아동의 정서적, 교육적 상호작용 도구로서 긍정적인 의미가 있는 것으로 보여진다.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2003년도 가을학술발표대회
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• pp.14-15
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• 2003

• 로봇학회논문지
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• 제12권3호
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• pp.376-384
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• 2017

In this paper, we describe a case of using robot technology in child studies to examine children's judgement and reasoning of the life phenomenon on boundary objects. In order to control the effects of the appearance of the robot, which children observe or interact directly with, on the children's judgement and reasoning of the life phenomenon, we developed a robot similar to human. Unit experimental scenarios representing biological and psychological properties were implemented based on control of robot's motion, speech, and facial expressions. Experimenters could combine these multiple unit scenarios in a cascade to implement various scenarios of the human-robot interaction. Considering that the experimenters are researchers of child studies, there was a need to develop a remote operation console that can be easily used by non-experts in the robot field. Using the developed robot platform, researchers of child studies could implement various scenarios by manipulating the biological and psychological properties of the robot based on their research hypothesis. As a result, we could clearly see the effects of robot's properties on children's understanding about boundary object like robots.

• Safety and Health at Work
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• 제12권4호
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• pp.496-504
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• 2021

Background: With the increasing demand for industrial robots and the "noncontact" trend, it is an appropriate point in time to examine whether risk assessments conducted for robot operations are performed effectively to identify and eliminate the risks of injury or harm to operators. This study discusses why robot accidents resulting in harm to operators occur repetitively despite implementing control measures and proposes corrective actions for risk assessments. Methods: This study collected 369 operator-injured robot accidents in Korea over the last decade and reconstructed them into the mechanism of injury, work being undertaken, and bodily location of the injury. Then, through the techniques of Systematic Cause Analysis Technique (SCAT) and Root Cause Analysis (RCA), this study analyzed the root and direct causes of robot accidents that had occurred. Causes identified included physical hazards and complex combinations of hazards, such as psychological, organizational, and systematic errors. The requirements of risk assessments regarding robot operations were examined, and three case studies of robot-involved tasks were investigated. The three assessments presented were: camera module processing, electrical discharge machining, and a panel-flipping robot installation. Results: After conducting RCA and comparing the three assessments, it was found that two-thirds of injury-occurring from robot accidents, causative factors included psychological and personal traits of robot operators. However, there were no evaluations of the identifications of personal aspects in the three assessment cases. Conclusion: Therefore, it was concluded that personal factors of operators, which had been overlooked in risk assessments so far, need to be included in future risk assessments on robot operations.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2008년도 추계학술대회
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• pp.98-101
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• 2008

The goal of this paper is to select and analyze the sound for robot which can help and serve the big retail market, as the part of research for design foundation development of Human Robot Interface. The sounds which are related with activity, such as thanks, reject, agony,absurdity, gladness, approval, were selected among targeted sounds with 2 step SD method. The result for using Quantitative analysis model-3 with psychological similar degree of selected sound was argued with 'the brightness of sound' and 'violent of sound'.

• 한국산업정보학회논문지
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• 제20권2호
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• pp.57-63
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• 2015

얼굴 표정인식 기술은 다른 감정인식기술에 비해 비접촉성, 비강제성, 편리성의 특징을 가지고 있다. 비전 기술을 심리로봇에 적용하기 위해서는 표정인식을 하기 전 단계에서 얼굴 영역을 정확하고 빠르게 추출할 수 있어야 한다. 본 논문에서는 성능이 향상된 얼굴영역 검출을 위해서 먼저 영상에서 YCbCr 피부색 색상 정보를 이용하여 배경을 제거하고 상태 기반 방법인 Haar-like Feature 방법을 이용하였다. 입력영상에 대하여 배경을 제거함으로써 처리속도가 향상된, 배경에 강건한 얼굴검출 결과를 얻을 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권3호
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• pp.754-774
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• 2023

Wrestling is one of the popular events for modern sports. It is difficult to quantitatively describe a wrestling game between athletes. And deep learning can help wrestling training by human recognition techniques. Based on the characteristics of latest wrestling competition rules and human recognition technologies, a set of wrestling competition video analysis and retrieval system is proposed. This system uses a combination of literature method, observation method, interview method and mathematical statistics to conduct statistics, analysis, research and discussion on the application of technology. Combined the system application in targeted movement technology. A deep learning-based facial recognition psychological feature analysis method for the training and competition of classical wrestling after the implementation of the new rules is proposed. The experimental results of this paper showed that the proportion of natural emotions of male and female wrestlers was about 50%, indicating that the wrestler's mentality was relatively stable before the intense physical confrontation, and the test of the system also proved the stability of the system.

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

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2003년도 추계종합학술대회 논문집
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• pp.447-453
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• 2003

Emotion을 이용한 컴퓨터 인공 지능, 그래픽, 로봇, 상호 작용 등 다양한 분야에 나타나고 있다. 이에 각 분야에 적용되어진 이론적 배경과, 적용의 특징, 기술 등을 본 글에서 다루고자 한다. 먼저 이론적 접근방식에 있어서는 심리학적 접근과, 사람의 감정 연구, Behavior-Bas설 접근, 생물 행동적 접근, 등이 있으며 이를 구현하기 위한 기술로는 학습 알고리즘, Neural Network 의 Self-Organizing Maps, Fuzzy Cognition Maps등이 있다. 적용 분야로는 Software Agent, Agent Robot과 Entrainment Robot 등이 있다. 본 글에서는 이들의 적용 사례들을 살펴보고 Emotion Architecture에 대해서 분석하고자 한다.

• 디지털콘텐츠학회 논문지
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• 제18권8호
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• pp.1501-1507
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• 2017

로봇보조학습의 원격로봇교사의 키는 작동의 안정성, 사용자의 편리성과 심시적 안정감의 이유로 실제 교사의 키보다 작은 경우가 선호된다. 그러나 원격로봇교사는 수업에서 때때로 학생을 통제해야할 필요성을 고려한다면, 로봇의 플랫폼은 실제 교사의 키 정도가 좋을 것으로 가정하였다. 이를 위하여 초등학교 체육수업에서 원격연결 로봇교사의 키와 수업통제력의 영향을 실험해 보았다. 사전과 사후 실험비교를 통하여 아동크기의 원격교사 로봇과 실제 교사 크기의 원격교사 로봇간의 유의미한 차이는 얻지 못하였으나, 행동분석관찰에서는 큰 키의 로봇이 학생을 통제하는 데에는 장점이 있음을 보였다.