Evidence map›Paper›PMID 31387274›Full record

ReviewMedicina (Kaunas, Lithuania)2019

Computer- and Robot-Assisted Therapies to Aid Social and Intellectual Functioning of Children with Autism Spectrum Disorder.

Joan DiPietro, Arpad Kelemen, Yulan Liang, Cecilia Sik-Lanyi

Open access · goldAbstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
3.7field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. Pooled it
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  4. Deep learning in fetal, infant, and toddler neuroimaging research.Developmental cognitive neuroscience · 2026
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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

4 authors at 3 institutions in 2 countries.

Joan DiPietroDepartment of Organizational Systems and Adult Health, School of Nursing, University of Baltimore, MD 21201, USA.
Arpad KelemenDepartment of Organizational Systems and Adult Health, School of Nursing, University of Baltimore, MD 21201, USA.ORCID 0000-0001-7181-4413
Yulan LiangDepartment of Family and Community Health, School of Nursing, University of Baltimore, MD 21201, USA.
Cecilia Sik-LanyiDepartment of Electrical Engineering and Information Systems, University of Pannonia, 8200 Veszprem, Hungary. lanyi@almos.uni-pannon.hu.ORCID 0000-0003-3142-6824
University of Maryland, Baltimore · USUniversity of Baltimore · USUniversity of Pannonia · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesChildren with autism spectrum disorder (ASD) experience challenges with social interactions, a core feature of the disorder. Social skills therapy has been shown to be helpful. Over the past several years, computer-assisted and robot-assisted therapies have been infiltrating the social skills teaching environment. Rapid progress in the field of technology, especially in the robotics area, offers tremendous possibilities for innovation and treatment or even education for individuals with ASD. This paper's purpose is to drive awareness of these innovative interventions in order to support the social lives of children with ASD. The aims of the paper are identifying (1) the types of Information Technology platforms that are being evaluated in computer and robot-assisted therapies for children with ASD; (2) the various disciplines or professions studying and utilizing these computer and robot-assisted social skill therapies; (3) the outcomes being evaluated in each trial; and (4) if results demonstrate benefits to children with autism. MATERIALS AND

methodsPubMed, CINAHL, Science Direct, and Web of Science databases were searched for clinical trials published over the past five years. Search terms incorporated the subject intersection of autism, and computer or robot-assisted therapy. Results were mined for pediatric populations only and study designs establishing controlled comparisons.

resultsEighteen unique international studies were identified that utilize robot interventions (11 studies) and serious computer game interventions (seven studies). Most demonstrated promising results in improving outcomes for children with ASD. Study implications reveal a rapidly evolving assistive technology for ASD social skills therapy.

conclusionsThese interventions show considerable promise, but more effectiveness and cost effectiveness research of high quality should be carried out with larger numbers of children. Also, further studies are necessary to evaluate these technologies' effectiveness amongst adults with ASD and within unique subsets of the higher functioning autism population.

Indexed as

Interpersonal RelationsAutism Spectrum DisorderComputer-Assisted InstructionExecutive FunctionHumansRoboticsautism spectrum disorderscomputersintervention psychosocial/behavioralrobotsschool-age childrentherapy

Identifiers

PMID31387274
PMCPMC6724404
OpenAlexW2964722329

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.