Evidence map›Paper›PMID 35731805›Full record

SynthesisPloS one2022

The use of social robots with children and young people on the autism spectrum: A systematic review and meta-analysis.

Athanasia Kouroupa, Keith R Laws, Karen Irvine, Silvana E Mengoni, Alister Baird, Shivani Sharma

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
11.0field-weighted citation impact, top 1% of its field
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

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Low-cost social robot designs for education: a review.Frontiers in robotics and AI · 2026
    Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Review
  8. Article
  9. Review
  10. Child and adolescent psychiatry: challenges, solutions, opportunities, and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Novel therapeutics in autism spectrum disorder.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

6 authors at 2 institutions in 1 country.

Athanasia KouroupaSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.ORCID 0000-0003-3659-160X
Keith R LawsSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Karen IrvineSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Silvana E MengoniSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Alister BairdDivision of Psychiatry, University College London, London, United Kingdom.ORCID 0000-0003-4085-0803
Shivani SharmaSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
University of Hertfordshire · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobot-mediated interventions show promise in supporting the development of children on the autism spectrum.

objectivesIn this systematic review and meta-analysis, we summarize key features of available evidence on robot-interventions for children and young people on the autism spectrum aged up to 18 years old, as well as consider their efficacy for specific domains of learning. DATA SOURCES: PubMed, Scopus, EBSCOhost, Google Scholar, Cochrane Library, ACM Digital Library, and IEEE Xplore. Grey literature was also searched using PsycExtra, OpenGrey, British Library EThOS, and the British Library Catalogue. Databases were searched from inception until April (6th) 2021. SYNTHESIS

methodsSearches undertaken across seven databases yielded 2145 articles. Forty studies met our review inclusion criteria of which 17 were randomized control trials. The methodological quality of studies was conducted with the Quality Assessment Tool for Quantitative Studies. A narrative synthesis summarised the findings. A meta-analysis was conducted with 12 RCTs.

resultsMost interventions used humanoid (67%) robotic platforms, were predominantly based in clinics (37%) followed home, schools and laboratory (17% respectively) environments and targeted at improving social and communication skills (77%). Focusing on the most common outcomes, a random effects meta-analysis of RCTs showed that robot-mediated interventions significantly improved social functioning (g = 0.35 [95%CI 0.09 to 0.61; k = 7). By contrast, robots did not improve emotional (g = 0.63 [95%CI -1.43 to 2.69]; k = 2) or motor outcomes (g = -0.10 [95%CI -1.08 to 0.89]; k = 3), but the numbers of trials were very small. Meta-regression revealed that age accounted for almost one-third of the variance in effect sizes, with greater benefits being found in younger children.

conclusionsOverall, our findings support the use of robot-mediated interventions for autistic children and youth, and we propose several recommendations for future research to aid learning and enhance implementation in everyday settings. PROSPERO REGISTRATION: Our methods were preregistered in the PROSPERO database (CRD42019148981).

Indexed as

Autistic DisorderRoboticsAdolescentAgedChildHumansSchoolsSocial Interaction

Identifiers

PMID35731805
PMCPMC9216612
OpenAlexW4283267765

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.