Nursing and human-computer interaction in healthcare robots for older people: An integrative review

• Main Authors: Michael Joseph S. Dino (Author), Patricia M. Davidson (Author), Kenneth W. Dion (Author), Sarah L. Szanton (Author), Irvin L. Ong (Author)
• Format: Book
• Published: Elsevier, 2022-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 2666-142X; 10.1016/j.ijnsa.2022.100072
• Keywords: Technology; Robotics; Health; Human-computer interaction; Older person; Nursing; RT1-120
• Source: International Journal of Nursing Studies Advances, Vol 4, Iss , Pp 100072- (2022)

Objectives: This study examined the published works related to healthcare robotics for older people using the attributes of health, nursing, and the human-computer interaction framework. Design: An integrative literature review. Methods: A search strategy captured 55 eligible articles from databases (CINAHL, Embase, IEEE Xplore, and PubMed) and hand-searching approaches. Bibliometric and content analyses grounded on the health and nursing attributes and human-computer interaction framework were performed using MAXQDA. Finally, results were verified using critical friend feedback by a second reviewer. Results: Most articles were from multiple authorship, published in non-nursing journals, and originating from developed economies. They primarily focused on applying healthcare robots in practice settings, physical health, and communication tasks. Using the human-computer interaction framework, it was found that older adults frequently served as the primary users while nurses, healthcare providers, and researchers functioned as secondary users and operators. Research articles focused on the usability, functionality, and acceptability of robotic systems. At the same time, theoretical papers explored the frameworks and the value of empathy and emotion in robots, human-computer interaction and nursing models and theories supporting healthcare practice, and gerontechnology. Current robotic systems are less anthropomorphic, operated through real-time direct and supervisory inputs, and mainly equipped with visual and auditory sensors and actuators with limited capability in performing health assessments. Conclusion: Results communicate the need for technological competency among nurses, advancements in increasing healthcare robot humanness, and the importance of conscientious efforts from an interdisciplinary research team in improving robotic system usability and utility for the care of older adults.