Evidence map›Paper›PMID 39263424›Full record

ArticleComputers in human behavior reports2024

Public perception of socially assistive robots for healthcare in the EU: A large-scale survey.

Laura Aymerich-Franch, Emilia Gómez

Abstract read
In one paragraph

Article in Computers in human behavior reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Attitudes towards Humanoid Robots for In-Home Assistance.RO-MAN ... : the ... IEEE International Symposium on Robot and Human Interactive Communication : proceedings. IEEE International Symposium on Robot and Human Interactive Communication · 2025
    Article
  2. Public Perception of Robot-Assisted Spine Surgery.Journal of clinical medicine · 2025
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Laura Aymerich-FranchUniversitat Pompeu Fabra, Spain.
Emilia GómezEuropean Commission, Joint Research Centre, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents the results of a large-scale survey (n = 1092) that explored the attitudes and opinions of European Citizens regarding the adoption of socially assistive robots (SARs) for healthcare in the EU. We examined which functions citizens would support and which they consider a threat to trustworthy SARs. We additionally explored the relationships between the perceived vulnerability of the care recipient and acceptance, between attitudes towards robots and gender, age, religious beliefs, and previous experience interacting with SARs, and whether the degree of responsibility taken in performing a role affects acceptance. We also compared attitudes towards robots across European regions. The functions most negatively rated were triage and banning entrance. Privacy raised particular concern. We also found an inverse correlation between the perceived vulnerability of care recipients and acceptance. Additionally, we found a positive relationship between religious beliefs and fear of robots, a positive relationship between previous robot experience and attitudes towards them, and that females have less positive attitudes towards robots than males. Also, the degree of responsibility in a role determined acceptance. Involving citizens in the decisions concerning SARs deployment is important to build a society that people feel is fair in terms of robot coexistence. The results of the survey intend to provide evidence-based support to policies in this area.

Identifiers

PMID39263424
PMCPMC11388560

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.