Evidence map›Paper›PMID 38373032›Full record

ReviewJMIR serious games2024

Extended Reality-Based Mobile App Solutions for the Therapy of Children With Autism Spectrum Disorders: Systematic Literature Review.

Marian-Vladut Toma, Cristina Elena Turcu, Corneliu Octavian Turcu, Sorin Vlad, Doru Eugen Tiliute, Paul Pascu

Open access · goldAbstract readReview
In one paragraph

Review in JMIR serious games, 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
3.2field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Review
  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

6 authors at 1 institution in 1 country.

Marian-Vladut Toma *Faculty of Economics, Administration and Business, "Stefan cel Mare" University of Suceava, Suceava, Romania.ORCID https://orcid.org/0009-0001-0249-4783
Cristina Elena Turcu *Faculty of Electrical Engineering and Computer Science, University of Suceava, Suceava, Romania.ORCID https://orcid.org/0000-0003-0151-3943
Corneliu Octavian Turcu *Faculty of Electrical Engineering and Computer Science, University of Suceava, Suceava, Romania.ORCID https://orcid.org/0000-0002-3134-8769
Sorin Vlad *Faculty of Economics, Administration and Business, "Stefan cel Mare" University of Suceava, Suceava, Romania.ORCID https://orcid.org/0000-0001-9422-976X
Doru Eugen Tiliute *Faculty of Economics, Administration and Business, "Stefan cel Mare" University of Suceava, Suceava, Romania.ORCID https://orcid.org/0009-0007-2139-0086
Paul Pascu *Faculty of Economics, Administration and Business, "Stefan cel Mare" University of Suceava, Suceava, Romania.ORCID https://orcid.org/0009-0007-1087-0367
Ştefan cel Mare University of Suceava · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing prevalence of autism spectrum disorder (ASD) has driven research interest on the therapy of individuals with autism, especially children, as early diagnosis and appropriate treatment can lead to improvement in the condition. With the widespread availability of virtual reality, augmented reality (AR), and mixed reality technologies to the public and the increasing popularity of mobile devices, the interest in the use of applications and technologies to provide support for the therapy of children with autism is growing.

objectiveThis study aims to describe the literature on the potential of virtual reality, AR, and mixed reality technologies in the context of therapy for children with ASD. We propose to investigate and analyze the temporal distribution of relevant papers, identify the target audience for studies related to extended reality apps in ASD therapy, examine the technologies used in the development of these apps, assess the skills targeted for improvement in primary studies, explore the purposes of the proposed solutions, and summarize the results obtained from their application.

methodsFor the systematic literature review, 6 research questions were defined in the first phase, after which 5 international databases (Web of Science, Scopus, ScienceDirect, IEEE Xplore Digital Library, and ACM Digital Library) were searched using specific search strings. Results were centralized, filtered, and processed applying eligibility criteria and using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The results were refined using a technical and IT-oriented approach. The quality criteria assessed whether the research addressed ASDs, focused on children's therapy, involved targeted technologies, deployed solutions on mobile devices, and produced results relevant to our study.

resultsIn the first step, 179 publications were identified in Zotero reference manager software (Corporation for Digital Scholarship). After excluding articles that did not meet the eligibility or quality assessment criteria, 28 publications were finalized. The analysis revealed an increase in publications related to apps for children with autism starting in 2015 and peaking in 2019. Most studies (22/28, 79%) focused on mobile AR solutions for Android devices, which were developed using the Unity 3D platform and the Vuforia engine. Although 68% (19/28) of these apps were tested with children, 32% (9/28) were tested exclusively by developers. More than half (15/28, 54%) of the studies used interviews as an evaluation method, yielding mostly favorable although preliminary results, indicating the need for more extensive testing.

conclusionsThe findings reported in the studies highlight the fact that these technologies are appropriate for the therapy of children with ASD. Several studies showed a distinct trend toward the use of AR technology as an educational tool for people with ASD. This trend entails multidisciplinary cooperation and an integrated research approach, with an emphasis on comprehensive empirical evaluations and technology ethics.

Indexed as

ASDaugmented realityautismautism spectrum disorderautisticchildrenextended realitymixed realitymobile appmobile phonepreschoolvirtual reality

Identifiers

PMID38373032
PMCPMC10913001
OpenAlexW4390072097

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.