Tetsuya Tanioka

By Kyoko Osaka, Ryuichi Tanioka, Feni Betriana, Tetsuya Tanioka, Yoshihiro Kai and Rozzano C. Locsin

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.

Part of the book: Information Systems

By Hirokazu Ito, Tetsuya Tanioka, Michael Joseph S. Diño, Irvin L. Ong and Rozzano C. Locsin

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).

Part of the book: Information Systems

By Tetsuya Tanioka, Feni Betriana, Ryuichi Tanioka, Yuki Oobayashi, Kazuyuki Matsumoto, Yoshihiro Kai, Misao Miyagawa and Rozzano Locsin

The purpose of this chapter is to explore the issues of development of conversational dialog of robots for nursing, especially for long-term care, and to forecast humanoid nursing partner robots (HNRs) introduced into clinical practice. In order to satisfy the required performance of HNRs, it is important that anthropomorphic robots act with high-quality conversational dialogic functions. As for its hardware, by allowing independent range of action and degree of freedom, the burden of quality exerted in human-robot communication is reduced, thereby unburdening nurses and professional caregivers. Furthermore, it is critical to develop a friendlier type of robot by equipping it with non-verbal emotive expressions that older people can perceive. If these functions are conjoined, anthropomorphic intelligent robots will serve as possible instructors, particularly for rehabilitation and recreation activities of older people. In this way, more than ever before, the HNRs will play an active role in healthcare and in the welfare fields.

Part of the book: Information Systems

By Miki Sato, Feni Betriana, Ryuichi Tanioka, Kyoko Osaka, Tetsuya Tanioka and Savina Schoenhofer

With the super-aging society, it is important to pay attention to the quality of life of older people so that they can face healthy aging. Lifestyle, particularly exercise, autonomic nervous system activities, and sleep status are factors that affect the quality of aging. This chapter explores how those three variables are related and what strategies can be employed to maintain and enhance these variables to prepare. (1) The combination of healthy lifestyles, adequate physical activity, healthy dietary patterns, moderate alcohol consumption, and nonsmoking were related to the risk of cardiovascular diseases. (2) For older people, being physically active is important to the improvement of their physical and mental functions and keeping them independent and mobile. The increasing HRV after exercise might be caused by increasing vagal tone and decreasing sympathetic activity. (3) To reach healthy aging, people should maintain the proper function of autonomic balance activities. This is important because slowing down the decline in sympathetic status might delay many geriatric complaints. (4) To achieve healthy aging, maintaining a healthy sleep is essential. Thus, the key to a lifestyle that facilitates healthy aging is a balance of regular physical exercise and adequate sleep, which mediates and is mediated by autonomic nervous system activity.

Part of the book: Autonomic Nervous System