Framing the Development of Humanoid Healthcare Robots in Caring Science

Tanioka, Tetsuya; Smith, Marlaine C.; Osaka, Kyoko; Zhao, Yueren

doi:10.20467/1091-5710.23.2.112

Cited by 18 publications

(17 citation statements)

References 7 publications

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“…In the context of psychiatric nursing and in older adult care in Japan, the HNRs are expected to assist and work with nurses in carrying out healthcare tasks and activities. Having a clear vision of HNRs as the supreme technological advancement in healthcare, the demands are for robots to be programmed in such a way that it can independently perform nursingrelated technical skills, and simultaneously demonstrate value-added expressions of humanness such as respect, compassion, empathy, and caring [20]. Therefore, HNRs are envisioned to be of high-quality, expressing patient-centeredness, and efficient with communication.…”

Section: Humanoid-nurse Robots Of the Futurementioning

confidence: 99%

Artificial Brain for the Humanoid-Nurse Robots of the Future: Integrating PsyNACS© and Artificial Intelligence

Ito¹,

Tanioka²,

Diño³

et al. 2021

Information Systems - Intelligent Information Processing Systems, Natural Language Processing, Affective Computing and Artifici

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Robots in healthcare are being developed rapidly, as they offer wide-ranging medical applications and care solutions. However, it is quite challenging to develop high-quality, patient-centered, communication-efficient robots. This can be attributed to a multitude of barriers such as technology maturity, diverse healthcare practices, and humanizing innovations. In order to engineer an ideal Humanoid-Nurse Robots (HNRs), a profound integration of artificial intelligence (AI) and information system like nursing assessment databases for a better nursing care delivery model is required. As a specialized nursing database in psychiatric hospitals, the Psychiatric Nursing Assessment Classification System and Care Planning System (PsyNACS©) has been developed by Ito et al., to augment quality and safe nursing care delivery of psychiatric health services. This chapter describes the nursing landscape in Japan, PsyNACS© as a specialized nursing database, the HNRs of the future, and the future artificial brain for HNRs linking PsyNACS© with AI through deep learning and Natural Language Processing (NLP).

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Section: Humanoid-nurse Robots Of the Futurementioning

confidence: 99%

Artificial Brain for the Humanoid-Nurse Robots of the Future: Integrating PsyNACS© and Artificial Intelligence

Ito¹,

Tanioka²,

Diño³

et al. 2021

Information Systems - Intelligent Information Processing Systems, Natural Language Processing, Affective Computing and Artifici

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“…In Japan, various robots are produced and introduced for robot therapy in hospitals and other health care facilities. However, the performance and functions of these robots are often of lesser fidelity and functionality than expected by some facilities, thereby preventing their continued use after the initial introduction [33,34]. The dialogue between healthcare robots and older adults was difficult without an intermediary role because of the difficulty for older adults to understand the robot because of the speed of its speech and tone of vocalization [15].…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Robot Therapy Program for Patients with Dementia: Its Framework and Effectiveness

Osaka¹,

Tanioka²,

Betriana³

et al. 2021

Information Systems - Intelligent Information Processing Systems, Natural Language Processing, Affective Computing and Artifici

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Robot therapy uses humanoid and animal-like robots. The robot therapy for older adults is expected to affect the therapeutic goals, including physical condition, cognitive function, and provide joy. By interaction with humanoid or animal-like robot, the older adults who are not physically active may have the improvement of their physical condition, such as hugging, stroking, talking with them, and participating in any activity involving the robot. The typical examples show that animal therapy has almost the same effectiveness as robot therapy among older people. It is clarified that robot therapy can be expected to have a healing effect on patients, improve motivation for activity, and increase the amount of activity, like animal therapy. Furthermore, it was essential to consider the intermediary role of nurses for connecting the robot and older adults and their role, even if the robot is not sophisticated enough to be useful as a humanoid nurse robot for rehabilitation and dialogue with older adults. Thus, robot therapy could be considered another important intervention in the challenging health and innovative care practices needed in the care of older persons. This chapter explains the robot therapy program for patients with dementia from the viewpoint of its framework and effectiveness.

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“…Within healthcare, an important aspect determining the success of an interaction between a human and a robot, is users' willingness to engage with the device [36] or human-robotic interactions. As noted in [35], robots can range in presentation "from very mechanical-looking to very anthropomorphic in appearance".…”

Section: Intelligent Agent Definitionmentioning

confidence: 99%

Trusting Intentions Towards Robots in Healthcare: A Theoretical Framework

O’Connor

Kupper²,

Heavin

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Within the next decade, robots (intelligent agents that are able to perform tasks normally requiring human intelligence) may become more popular when delivering healthcare services to patients. The use of robots in this way may be daunting for some members of the public, who may not understand this technology and deem it untrustworthy. Others may be excited to use and trust robots to support their healthcare needs. It is argued that (1) context plays an integral role in Information Systems (IS) research and (2) technology demonstrating anthropomorphic or system-like features impact the extent to which an individual trusts the technology. Yet, there is little research which integrates these two concepts within one study in healthcare. To address this gap, we develop a theoretical framework that considers trusting intentions towards robots based on the interaction of humans and robots within the contextual landscape of delivering healthcare services. This article presents a theory-based approach to developing effective trustworthy intelligent agents at the intersection of IS and Healthcare.

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Framing the Development of Humanoid Healthcare Robots in Caring Science

Cited by 18 publications

References 7 publications

Artificial Brain for the Humanoid-Nurse Robots of the Future: Integrating PsyNACS© and Artificial Intelligence

Artificial Brain for the Humanoid-Nurse Robots of the Future: Integrating PsyNACS© and Artificial Intelligence

Robot Therapy Program for Patients with Dementia: Its Framework and Effectiveness

Trusting Intentions Towards Robots in Healthcare: A Theoretical Framework

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