ArticleNursing open2023
Nurse preferences of caring robots: A conjoint experiment to explore most valued robot features.
Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Evaluation of nurses' perspectives on the design and use of assistant nurse robots in obstetrics and neonatal care: a mixed-method study.BMC nursing · 2025Article
- Competencies in the Robotics of Care for Nursing Robotics: A Scoping Review.Healthcare (Basel, Switzerland) · 2024Article
- Nurses' attitudes toward the use of robots in healthcare.Nursing open · 2023Article
- Nurse preferences of caring robots: A conjoint experiment to explore most valued robot features.Nursing open · 2023Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimDue to the COVID pandemic and technological innovation, robots gain increasing role in nursing services. While studies investigated negative attitudes of nurses towards robots, we lack an understanding of nurses' preferences about robot characteristics. Our aim was to explore how key robot features compare when weighed together.
methodsCross-sectional research design based on a conjoint analysis approach. Robot dimensions tested were: (1) communication; (2) look; (3) safety; (4) self-learning ability; and (5) interactive behaviour. Participants were asked to rank robot profile cards from most to least preferred.
resultsIn order of importance, robot's ability to learn ranked first followed by behaviour, look, operating safety and communication. Most preferred robot combination was 'robot responds to commands only, looks like a machine, never misses target, runs programme only and behaves friendly'.
conclusionsRobot self-learning capacity was least favoured by nurses showing potential fear of robots taking over core nurse competencies.
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Registered trials
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