This paper is in the following e-collection/theme issue:

Robots in Healthcare (86) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Nursing (98)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37731, first published .
Enhancing Nurse–Robot Engagement: Two-Wave Survey Study

Enhancing Nurse–Robot Engagement: Two-Wave Survey Study

Enhancing Nurse–Robot Engagement: Two-Wave Survey Study

Authors of this article:

Gen-Yih Liao1, 2 Author Orcid Image ;   Tzu-Ling Huang3 Author Orcid Image ;   May-Kuen Wong4 Author Orcid Image ;   Yea-Ing Lotus Shyu5 Author Orcid Image ;   Lun-Hui Ho6, 7 Author Orcid Image ;   Chi Wang5, 6 Author Orcid Image ;   T C E Cheng8 Author Orcid Image ;   Ching-I Teng4, 9, 10 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Tobis S, Piasek-Skupna J, Neumann-Podczaska A, Suwalska A, Wieczorowska-Tobis K. The Effects of Stakeholder Perceptions on the Use of Humanoid Robots in Care for Older Adults: Postinteraction Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e46617 View
  2. Lim Y, Tan S, Tan C, Lee D, Siow W, Heng D, Mukhopadhyay A, Lim J, Sivadas S, Teo E, Ho L, Phua J. An Assessment of an Inpatient Robotic Nurse Assistant: A Mixed-Method Study. Journal of Medical Systems 2024;48(1) View
  3. Pham T, Huang T, Wong M, Shyu Y, Cheng T, Chen L, Teng C. Impacts of effort recognition on nurses’ organizational commitment and turnover intention. International Journal of Workplace Health Management 2024 View