• Journal of Korea Multimedia Society
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• v.23 no.10
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• pp.1318-1330
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• 2020

The purpose of this study is to identify the effect of the innovation characteristics that AI Elderly Care Robots have on elderly consumers and to verify the acceptance or mediated resistance by the elderly of the innovation characteristics. Research was conducted throughout this study of the characteristics of the elderly so that the study results could contribute to the improvement of the quality and manufacture of AI Elderly Care Robots by lowering the psychological resistance of the elderly. Survey questions were answered by senior citizens aged 65 and older. The SPSS25 and AMOS22 programs were used for analysis. The analysis confirmed that innovation resistance has a significant mediated effect on the characteristics of elderly consumers and their willingness to accept the innovation characteristics of the AI Elderly Care Robots. Through this study, Ram's innovation resistance model has been verified empirically and it is estimated that by considering the specificities of elderly consumers and using the information to contribute to the development and modification of AI Elderly Care Robots will increase the willingness of the elderly to accept the innovation characteristics of the AI Elderly Care Robots.

• Journal of Korean Gerontological Nursing
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• v.20 no.sup1
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• pp.144-153
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• 2018

Purpose: The purpose of this study was to review the influence of robot systems on nursing and robotics technology. Methods: The research design was a review article. The literature was done to help understand the current status and effects of robotic technology in the healthcare field, both domestic and overseas. The keywords searched were 'Nursing', 'Robot', and 'Patient safety' in Pubmed, CINAHL etc, and 'Nursing Activity', 'Nursing Care Integration Service' in RISS and KISS. Results: In healthcare, robotics is used in five areas; personal care robots, mobility and transfer robots, cognitive and emotional robots, nursing assist robots and care robots in palliative home care settings. Nurses' demands for utilization of robotic systems are high. Especially, if robotics is used for indirect and non-value-added nursing activities, efficiency may increase. Therefore, robotics should be used to help nurses focus on bedside care and perform better nursing care. Conclusion: Future robots and technology can help nurse to provide optimal nursing to patients, and will improve the quality life of patients. It is suggested that nursing research should be actively pursued in the future. Especially, it is an urgent field to improve nursing quality and reduce the burden of nurses.

• Science of Emotion and Sensibility
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• v.24 no.4
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• pp.3-16
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• 2021

The attribution of human traits, emotions, and intentions to nonhuman entities such as robots is known as anthropomorphism. Two studies were conducted to check whether human-robot interaction is affected by anthropomorphic framing of robots. In Study 1, participants were presented with pictures of robots that varied in human similarity in appearance. According to the results, uncanny feelings toward a robot increased with the higher levels of human similarity. Furthermore, as the level of mind attribution increased, participants tended to attribute more humanlike abilities to nonhuman agents. In Study 2, a robot was described as either a machine-like robot or a humanlike robot in a priming story; then, it was examined whether significant differences exist in mind attribution and moral care. The participants tended to perceive robots as more humanlike in the mind attribution when anthropomorphism was used in a robot's behavior, according to the findings. Furthermore, in the condition of increased anthropomorphism, a higher level of moral care could be observed compared with that in the other condition. This means that humanlike appearances may increase uncanny feelings, whereas anthropomorphic attribution may facilitate social interactions between humans and robots. Limitations as well as the implications for future research are discussed.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.4
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• pp.399-405
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• 2008

Recently, robot technology is actively going on progress to the field of various services such as home care, medical care, entertainment, and etc. Because these service robots are in use nearby person, they need to be operated safely even though hardware and software faults occur. This paper proposes a Fault-Tolerant middleware for a robot system, which has following two characteristics: supporting of heterogeneous network interface and processing of software components and network faults. The Fault-Tolerant middleware consists of a Service Layer(SL), a Network Adaptation Layer(NAL), a Network Interface Layer(NIL), a Operating System ion Layer(OSAL), and a Fault-Tolerant Manager(FTM). Especially, the Fault-Tolerant Manager consists of 4 components: Monitor, Fault Detector, Fault Notifier, and Fault Recover to detect and recover the faults effectively. This paper implements and tests the proposed middleware. Some experiment results show that the proposed Fault-Tolerant middleware is working well.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1751-1768
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• 2011

Falls are one of the most concerned accidents for elderly people and often result in serious physical and psychological consequences. Many researchers have studied fall detection techniques in various domain, however none released to a commercial product satisfying user requirements. We present a systematic modeling and evaluating procedure for best classification performance and then do experiments for comparing the performance of six procedures to get a statistical classifier based wrist-type fall detector to prevent dangerous consequences from falls. Even though the wrist may be the most difficult measurement location on the body to discern a fall event, the proposed feature deduction process and fall classification procedures shows positive results by using data sets of fall and general activity as two classes.

• 제어로봇시스템학회:학술대회논문집
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• 1998.10a
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• pp.386-390
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• 1998

A master-slave system is proposed as a teaching device for a dual arm robot. The slave robots are remotely controlled by two delta-type master arms. In order to help the operator to observe the target object from the desired position and desired direction, cameras are mounted on a specialized manipulator, Movements of two slave arms are coordinated with that of the cameras. Due to this coordinated movements, the operator needs not to care the geometrical relation between the cameras and the slave robots.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.649-660
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• 2021

The purposes of this study were to examine the effects of carebidet robot during defecation on incontinence associated dermatitis, pressure ulcer risk and biological markers in critical care patients. Data were analyzed using t-test, Chi-square test, Fisher's exact test, Mann-Whitney U-test and Repeated measures ANOVA. There was a significant difference in incontinence associated dermatitis, pressure ulcer risk, and improving biological markers between the two groups, and there were significant changes over time and the group by time interactions. The findings of the study demonstrated that carebidet robot during defecation was more effective than the current usual care in reducing incontinence associated dermatitis, pressure ulcer risk, and improving biological markers in critical care patients.

• Journal of Korean Academy of Nursing
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• v.53 no.1
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• pp.55-68
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• 2023

Purpose: The purpose of this study was to identify the main keywords, network properties, and main topics of news articles related to artificial intelligence technology in the field of nursing. Methods: After collecting artificial intelligence-and nursing-related news articles published between January 1, 1991, and July 24, 2022, keywords were extracted via preprocessing. A total of 3,267 articles were searched, and 2,996 were used for the final analysis. Text network analysis and topic modeling were performed using NetMiner 4.4. Results: As a result of analyzing the frequency of appearance, the keywords used most frequently were education, medical robot, telecom, dementia, and the older adults living alone. Keyword network analysis revealed the following results: a density of 0.002, an average degree of 8.79, and an average distance of 2.43; the central keywords identified were 'education,' 'medical robot,' and 'fourth industry.' Five topics were derived from news articles related to artificial intelligence and nursing: 'Artificial intelligence nursing research and development in the health and medical field,' 'Education using artificial intelligence for children and youth care,' 'Nursing robot for older adults care,' 'Community care policy and artificial intelligence,' and 'Smart care technology in an aging society.' Conclusion: The use of artificial intelligence may be helpful among the local community, older adult, children, and adolescents. In particular, health management using artificial intelligence is indispensable now that we are facing a super-aging society. In the future, studies on nursing intervention and development of nursing programs using artificial intelligence should be conducted.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.32 no.4
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• pp.340-346
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• 2008

An unmanned surveillance robot consists of a machine gun, a laser receiver, a thermal imager, a color CCD camera, and a laser illuminator. It has two axis control systems for elevation and azimuth. Because the current robot system is mounded at a fixed post to take care of surveillance tasks, it is necessary to modify such a surveillance robot to be installed on an UGV (Unmanned Ground Vehicle) system in order to watch blind areas. Thus, it is required to have a stabilization system to compensate the disturbance from the UGV. In this paper, a simulation based design scheme has been adopted to develop a mobile surveillance robot. The 3D CAD geometry model has first been produced by using Pro-Engineer. The required pan and tilt motor capacities have been analyzed using ADAMS inverse dynamics analysis. A target tracking and stabilization control algorithm of the mobile surveillance robot has been developed in order to compensate the motion of the vehicle which will experience the rough terrain. To test the performance of the stabilization control system of the robot, ADAMS/simulink co-simulations has been carried out.

• The Journal of Korea Robotics Society
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• v.6 no.3
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• pp.263-273
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• 2011

This paper analyzes the motion of a horseback riding robot which has two actuators and three joints. It is impossible to control the saddle to get to any position and orientation using the two motors because the robot has less degrees of freedom than the number of joints. Therefore it is required to know the possible location and orientation along with the velocity characteristics of each pose prior to motion planning. For this purpose, this paper analyzes the characteristics of the robot motion. The authors derive the forward and inverse kinematics of the robot motion and developed the trajectory editor for motion planning. Also, Jacobian of the robot is analyzed. It reveals that one of the actuator has little influence to the speed of the saddle motion while the other affects the speed of the saddle motion dominantly. The approach of the paper can be applied for the analysis of characteristics of a robot which has less number of actuators than that of joints.