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

Theme Issue: Artificial Intelligence (AI) in Nursing (20) Robots in Healthcare (126) Novel and Innovative Approaches to Care Involving Nurses (75) Nursing in a Hospital Setting (141) Digital Health, Telehealth and e-Innovation in Clinical Settings (577) User Needs and Competencies (488)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59442, first published .
Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model

Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model

Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model

Authors of this article:

Aimei Kang1 Author Orcid Image ;   XiuLi Wu2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Wu P, Chen X, Liu Y, Tian X. Data-driven Optimization Research on Ageing-Responsive Design of Building Space in Urban Elderly Institutions. Applied Mathematics and Nonlinear Sciences 2025;10(1) View
  2. Borycki E. 2024: A Year of Nursing Informatics Research in Review. JMIR Nursing 2025;8:e74345 View
  3. Hao S, Hong Y, Xu M, Si Y, Yang L, Yuan Y. Exploring service demands of community-embedded elderly care based on the Kano model: a cross-sectional study in Hefei, China. BMC Geriatrics 2026 View