Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17509, first published .
Acceptability of Using a Robotic Nursing Assistant in Health Care Environments: Experimental Pilot Study

Acceptability of Using a Robotic Nursing Assistant in Health Care Environments: Experimental Pilot Study

Acceptability of Using a Robotic Nursing Assistant in Health Care Environments: Experimental Pilot Study

Journals

  1. Ding D, Wang Y, Zhang W, Chen Q. Fall Detection System on Smart Walker Based on Multisensor Data Fusion and SPRT Method. IEEE Access 2022;10:80932 View
  2. Huang R, Li H, Suomi R, Li C, Peltoniemi T. Intelligent Physical Robots in Health Care: Systematic Literature Review. Journal of Medical Internet Research 2023;25:e39786 View
  3. Wang Y, Xie C, Liang C, Zhou P, Lu L. Association of artificial intelligence use and the retention of elderly caregivers: A cross‐sectional study based on empowerment theory. Journal of Nursing Management 2022;30(8):3827 View
  4. Zrínyi M, Lampek K, Pakai A, Vass D, Oláh A. Changing the Perceived Views of Student Nurses Concerning Healthcare Robots. CIN: Computers, Informatics, Nursing 2022;40(12):797 View
  5. Busse T, Kernebeck S, Nef L, Rebacz P, Kickbusch I, Ehlers J. Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop. Journal of Medical Internet Research 2021;23(11):e20046 View
  6. Logsdon M, Abubakar S, Das S, Mitchell H, Gowda B, Wuensch E, Popa D. Robots as Patient Sitters. CIN: Computers, Informatics, Nursing 2022;40(9):581 View
  7. Li Y, Wang C. Effect of customer's perception on service robot acceptance. International Journal of Consumer Studies 2022;46(4):1241 View
  8. Li Y, Wang C, Song B. Customer acceptance of service robots under different service settings. Journal of Service Theory and Practice 2023;33(1):46 View
  9. Ohneberg C, Stöbich N, Warmbein A, Rathgeber I, Mehler-Klamt A, Fischer U, Eberl I. Assistive robotic systems in nursing care: a scoping review. BMC Nursing 2023;22(1) View
  10. Kim J, Merrill K, Xu K, Collins C. My Health Advisor is a Robot: Understanding Intentions to Adopt a Robotic Health Advisor. International Journal of Human–Computer Interaction 2024;40(19):5697 View
  11. Moon H, Park D, Jung S. Use of the Smart Excretion Care System Linked to Electronic Medical Records to Alleviate Nursing Burden and Enhance Patient Convenience: Mixed Methods Study. JMIR Formative Research 2023;7:e36324 View
  12. Rafferty H, Cretaro C, Arfanis N, Moore A, Pong D, Tulk Jesso S. Towards human-centered AI and robotics to reduce hospital falls: finding opportunities to enhance patient-nurse interactions during toileting. Frontiers in Robotics and AI 2024;11 View
  13. Georgadarellis G, Cobb T, Vital C, Sup F. Nursing Perceptions of Robotic Technology in Healthcare: A Pretest–Posttest Survey Analysis Using an Educational Video. IISE Transactions on Occupational Ergonomics and Human Factors 2024;12(1-2):68 View
  14. Madi M, Nielsen S, Schweitzer M, Siebert M, Körner D, Langensiepen S, Stephan A, Meyer G. Acceptance of a robotic system for nursing care: a cross-sectional survey with professional nurses, care recipients and relatives. BMC Nursing 2024;23(1) View
  15. Yang Y, Ngai E, Wang L. Resistance to artificial intelligence in health care: Literature review, conceptual framework, and research agenda. Information & Management 2024;61(4):103961 View
  16. Lee J, Han I, Park J, Kim K, Hwang J, Kim D, Lee J, Nam K. Nurses' perceptions of medical service robots in negative‐pressure isolated wards and in general wards: A cross‐sectional survey. Nursing Open 2024;11(10) View

Books/Policy Documents

  1. Singla R, Nguan C. Trends in Assistive Technologies. View
  2. Huang R. Well-Being in the Information Society: When the Mind Breaks. View
  3. Pal G. Enhancing the Modern Workforce Through Transhumanism. View