• 노인간호학회지
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• 제20권sup1호
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• pp.127-136
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• 2018

Purpose: The purpose of this study was to investigate the possibility of using intelligent robot based nursing practice as discussed in previous research and also, to propose directions for robot care for elders. Methods: For this study 28 previous researches using robots in health care field were reviewed and related research trends introduced. Results: Robot applications in the healthcare field were mainly for rehabilitation, surgery, interaction, and nursing assistance through robotics. Especially types of robot include pet type robots, humanoid robots, surgical robots, rehabilitation robots, robot suit and entertainment robots with monitors. The research participants were patients with dementia and institutionalized elderly people. It was found that a human-robot interaction was effective from physical, mental, emotional and social aspects. Conclusion: Robots can be used for various purposes such as nursing assistance, patient health promotion and education. It is necessary to reduce the human burden of care work using robots and to introduce robot care programs which can meet the needs of elders. Therefore, korean nurses should make efforts to change their practice to new geriatric nursing through repeated research based on the scientific data.

• 제어로봇시스템학회논문지
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• 제19권8호
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• pp.738-744
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• 2013

According to the cognitive science research, the interaction intent of humans can be estimated through an analysis of the representing behaviors. This paper proposes a novel methodology for reliable intention analysis of humans by applying this approach. To identify the intention, 8 behavioral features are extracted from the 4 characteristics in human-human interaction and we outline a set of core components for nonverbal behavior of humans. These nonverbal behaviors are associated with various recognition modules including multimodal sensors which have each modality with localizing sound source of the speaker in the audition part, recognizing frontal face and facial expression in the vision part, and estimating human trajectories, body pose and leaning, and hand gesture in the spatial part. As a post-processing step, temporal confidential reasoning is utilized to improve the recognition performance and integrated human model is utilized to quantitatively classify the intention from multi-dimensional cues by applying the weight factor. Thus, interactive robots can make informed engagement decision to effectively interact with multiple persons. Experimental results show that the proposed scheme works successfully between human users and a robot in human-robot interaction.

• 공학교육연구
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• 제22권1호
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• pp.16-21
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• 2019

This study deals with empathic concern in the age of the fourth industrial revolution. A study, investigating emotional and empathic responses towards a situation of negative human-robot interaction, was conducted using mobile surveys and self-reports. In total, 116 subjects were recruited regardless of their disciplinary and demographic backgrounds. For data analysis, a mixed method was used. Results show that people differ in emotional and empathic responses in human-robot interaction. This individual difference was influenced by educational backgrounds and gender. Suggestions for engineering education were discussed.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.146.2-146
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• 2001

Recently, a need of non-industrial robot, such as service, medical, entertainment and house-keeping robot, has been increased. Therefore, the capability of robot which can do intelligent behavior like interaction with men and its environment become more prominent than the capability of executing simple repetitive task. To implement an intelligent robot which provides intelligent behavior, an effective system architecture including perception, learning, reasoning and action part is necessary. Control architectures for intelligent robot can be divided into two different classes. One is deliberative type controller which is applicate to high level intelligence like environment ...

• 로봇학회논문지
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• 제15권4호
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• pp.365-374
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• 2020

In this paper, we analyzed how 5-year-old children perceive a robot's ability to attribute mental states to oneself and to others, which shall hereafter be referred to as a robot's theory of mind (RToM). A total of 34 5-year-old children were given two typical false-belief tasks, an 'unexpected-contents task' and a 'change-of-location task', in order to evaluate whether a child's perceived RToM was connected to their own ToM. In addition, we investigated whether a child's perception of RToM was influenced by either a priori experience with robots or that child's gender. The results are as follows. Firstly, the 5- year-old preschool children universally recognized robots as beings that have a human-like mind both in 1st order and 2nd order perspectives, which indicates that children perceive robots as beings distinct from mechanical toys. Secondly, a priori child-robot interaction experience was found to have a positive influence on a child's perceived RToM. Thirdly, the gender of children did not significantly affect their perceived RToM. This study serves to add to the macroscopic results of prior research, which indicate that children perceive robots as intermediate beings between living and inanimate objects: significantly, it analyzes the children's perception of robots through the lens of theory of mind, which is one of the key elements of cognitive development. This research lays the foundations for designing effective child-robot interactions, in situations in which robots serve as peers or assistants for educational purposes.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2006년도 추계 종합학술대회 논문집
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• pp.507-511
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• 2006

지능형 로봇이란 인간과 비슷하게 시각, 청각 등의 감각기관을 기반으로 자율적으로 판단하고 행동하는 독립적 자율구동 시스템을 말한다. 인간은 언어 이외에도 제스처와 같은 비언어적 수단을 이용하여 의사소통을 하며, 이러한 비언어적 의사소통 수단을 로봇이 이해한다면, 로봇은 인간과 보다 친숙한 대상이 될 수 있을 것이다. 이러한 요구에 의해 얼굴인식, 제스처 인식을 비롯한 HCI(Human-Computer Interaction) 기술들이 활발하게 연구되고 있지만 아직 해결해야 할 문제점이 많은 실정이다. 본 논문에서는 지능형 로봇을 위한 기반 기술 중 인간과의 가장 자연스러운 의사소통 방법의 하나인 제스처 인식 기술에 대하여, 최근 연구 성과를 중심으로 요소 기술의 중요 내용과 응용 사례를 소개한다.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 1부
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• pp.7-12
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• 2008

사람과 로봇의 인터랙션에 있어 정서의 역할은 중요하다. 그러므로 사람과 유사한 정서 메커니즘이 로봇에게 필요하다. 본 논문에서는 사람의 정서에 대한 심리적 연구를 바탕으로 사람의 내적 요소에 기반한 새로운 인공 정서 표현 시스템을 제안한다. 제안된 시스템은 external stimulus, emotion, mood, personality, tendency, machine rhythm 의 6가지 정보 요소를 활용하며, 각 요소들은 그들의 특성에 따라 결과적으로 emotion 표현 패턴의 변화에 영향을 준다. 그 결과 통일한 외부 자극들은 내적 상태에 따라 emotion의 변화를 만들어 낸다. 제안된 시스템은 사람과 로봇의 자연스러운 인터랙션을 유지하고, 친밀한 관계를 형성할 수 있도록 도움을 줄 것이다.

• 제어로봇시스템학회논문지
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• 제15권11호
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• pp.1115-1121
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• 2009

For HRI (Human-Robot Interaction) in daily life, robots need to recognize non-rigid objects such as clothes and blankets. However, the recognition of non-rigid objects is challenging because of the variation of the shapes according to the places and laying manners. In this paper, the cognition of non-rigid object based on a cognitive system is presented. The characteristics of non-rigid objects are analysed in the view of HRI and referred to design a framework for the cognition of them. We adopt a linguistic cognitive system for describing all of the events happened to robots. When an event related to the non-rigid objects is occurred, the cognitive system describes the event into a sentential form and stores it at a sentential memory, and depicts the objects with a spatial model for being used as references. The cognitive system parses each sentence syntactically and semantically, in which the nouns meaning objects are connected to their models. For answering the questions of humans, sentences are retrieved by searching temporal information in the sentential memory and by spatial reasoning in a schematic imagery. Experiments show the feasibility of the cognitive system for cognizing non-rigid objects in HRI.

• 로봇학회논문지
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• 제8권2호
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• pp.116-128
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• 2013

This paper focuses on development of a testbed for analysis of robot-terrain interaction on rough terrain and also, through one wheel driving experiments using this testbed, prediction of maximum velocity and acceleration of UGV. Firstly, from the review regarding previous researches for terrain modeling, the main variables for measurement are determined. A testbed is developed to measure main variables related to robot-terrain interaction. Experiments are performed on three kinds of rough terrains (grass, gravel, and sand) and traction-slip curves are obtained using the data of the drawbar pull and slip ratio. Traction-slip curves are used to predict driving performance of UGV on rough terrain. Maximum velocity and acceleration of UGVs are predicted by the simple kinematics and dynamics model of two kinds of 4-wheel mobile robots. And also, driving efficiency of UGVs is predicted to reduce energy consumption while traversing rough terrains.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2012년도 춘계학술대회 논문집
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• pp.1175-1176
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• 2012