Evidence map›Paper›PMID 41170301›Full record

ArticleFrontiers in robotics and AI2025

Huggable integrated socially assistive robots: exploring the potential and challenges for sustainable use in long-term care contexts.

B M Hofstede, S Ipakchian Askari, T R C van Hoesel, R H Cuijpers, L P de Witte, W A IJsselsteijn, H H Nap

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

B M HofstedeVilans, Centre of Expertise for Long-Term Care, Utrecht, Netherlands.
S Ipakchian AskariVilans, Centre of Expertise for Long-Term Care, Utrecht, Netherlands.
T R C van HoeselVilans, Centre of Expertise for Long-Term Care, Utrecht, Netherlands.
R H CuijpersHuman-Technology Interaction group, Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, Netherlands.
L P de WitteThe Hague University of Applied Sciences, The Hague, Netherlands.
W A IJsselsteijnHuman-Technology Interaction group, Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, Eindhoven, Netherlands.
H H NapVilans, Centre of Expertise for Long-Term Care, Utrecht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With ageing populations and decreasing numbers of care personnel, care technologies such as socially assistive robots offer innovative solutions for healthcare workers and older adults, supporting ageing in place. Among others, SARs are used for both daytime structure support and social companionship, particularly benefiting people with dementia by providing structure in earlier stages of the disease and comfort in later stages. This research introduces the concept of Huggable Integrated SARs (HI-SAR): a novel subtype of SARs combining a soft, comforting, huggable form with integrated socially assistive functionalities, such as verbal prompts for daytime structure, interactive companionship, and activity monitoring via sensor data, enabling the possibility of more context-aware interaction. While HI-SARs have shown promise in Asian care contexts, real-world application and potential in diverse long-term care contexts remain limited and underexplored. This research investigates the potential of HI-SARs in Dutch healthcare settings (eldercare, disability care, and rehabilitation) through three studies conducted between September 2023 and December 2024. Study I examined HI-SAR functions and integration in Dutch care practice via focus groups with professionals, innovation managers, and older adults (N = 36). Study II explored user preferences through sessions with clients with intellectual disabilities and professionals (N = 32). Study III involved two case studies in care settings with clients and caregivers (N = 4). Results indicate that HI-SARs were generally well-received by professionals and older adults, who appreciated their support for daily routines and social engagement, particularly for clients with cognitive disabilities such as dementia. However, concerns were raised about hygiene, the functioning of activity monitoring, and limited interactivity. Based on these findings, we recommend four design and implementation strategies to improve the effectiveness of HI-SARs: (1) integrating personalisation options such as customizable voices to increase user acceptance; (2) optimising activity monitoring by simplifying data output and using sensor input more proactively to trigger interactions; (3) considering persons with cognitive impairments as a first target user group; and (4) encouraging individual use to enhance hygiene and tailor experiences to client needs. Overall, this research demonstrates the potential of HI-SARs in diverse long-term care settings, although further research is needed to explore their applicability, usability, and long-term impact.

Indexed as

activity monitoringdaytime structure supportHI-SARshuggable integrated socially assistive robotslong-term careolder adultssocial companionshipsocial robots

Identifiers

PMID41170301
PMCPMC12569430

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.