Evidence map›Paper›PMID 40786654›Full record

ArticleFrontiers in robotics and AI2025

Responsible and adaptive robots in care home settings: an implementation framework analysis of a workshop with public and professionals.

Andriana Boudouraki, Maria Waheed, Rafael Mestre, Aleksandra Landowska, Athina Georgara, Jayati Deshmukh, Lokesh Singh, Ayodeji O Abioye, Nguyen Tan Viet Tuyen, Yi Dong and 4 more

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Andriana BoudourakiMixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
Maria WaheedMixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
Rafael MestreAgents, Interaction and Complexity Group, School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
Aleksandra LandowskaMixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
Athina GeorgaraAgents, Interaction and Complexity Group, School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
Jayati DeshmukhAgents, Interaction and Complexity Group, School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
Lokesh SinghAgents, Interaction and Complexity Group, School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
Ayodeji O AbioyeAgents, Interaction and Complexity Group, School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
Nguyen Tan Viet TuyenAgents, Interaction and Complexity Group, School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
Yi DongAgents, Interaction and Complexity Group, School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
Shuang AoAgents, Interaction and Complexity Group, School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
Dominic PriceMixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
Joel FischerMixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
Aislinn Gomez BerginMixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As populations grow, research looks to emerging adaptive technologies for the urgent challenge in providing suitable care for older adults. Drawing on implementation science, we conducted a holistic examination looking at broader, contextual factors relating to the acceptability of robotics and sensor technologies in care homes. We held a workshop that brought together members of the public and researchers with experience in care home, to try such technologies and discuss their application in different care home scenarios. Using the NASSS framework, we examine acceptability through the angles of technology, condition, adopters, value proposition, organisation, wider context, and sustainability. While both groups of participants share concerns about the negative impacts of robotics on the quality of care, we also uncovered additional areas of further consideration relating to tensions between stakeholders and constraints around material resources, culture, processes and regulatory considerations.

Indexed as

care workhealthcareimplementationolder adultsqualitativeroboticssensorssocial robots

Identifiers

PMID40786654
PMCPMC12331501

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.