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ID 116738
Author
Betriana, Feni Tokushima University
Kai, Yoshihiro Tokai University
Baua, Elizabeth St. Paul University Philippines
Schoenhofer, Savina Florida Atlantic University
Keywords
intentional observation
clinical research
novel research design
nursing
advanced technologies
healthcare
mixed methods research
Content Type
Journal Article
Description
The growing use of robots in nursing and healthcare facilities has prompted increasing research on human–robot interactions. However, specific research designs that can guide researchers to conduct rigorous investigations on human–robot interactions are limited. This paper aims to discuss the development and application of a new research design—the Intentional Observational Clinical Research Design (IOCRD). Data sources to develop the IOCRD were derived from surveyed literature of the past decade, focusing on clinical nursing research and theories relating robotics to nursing and healthcare practice. The distinction between IOCRD and other research design is the simultaneous data generation collected using advanced technological devices, for example, the wireless Bonaly-light electrocardiogram (ECG) to track heart rate variability of research subjects, robot application programs on the iPad mini to control robot speech and gestures, and Natural Language Processing programs. Even though IOCRD was developed for human–robot research, there remain vast opportunities for its use in nursing practice and healthcare. With the unique feature of simultaneous data generation and analysis, an interdisciplinary collaborative research team is strongly suggested. The IOCRD is expected to contribute guidance for researchers in conducting clinical research related to robotics in nursing and healthcare.
Journal Title
International Journal of Environmental Research and Public Health
ISSN
16604601
Publisher
MDPI
Volume
18
Issue
21
Start Page
11184
Published Date
2021-10-25
Rights
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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DOI (Published Version)
URL ( Publisher's Version )
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language
eng
TextVersion
Publisher
departments
Medical Sciences