Evaluating the effectiveness of intelligent interaction technology in autism interventions: A meta-analysis based on trial assessment.
Zhou Quan, Li Dandan, Zhang Yanan, Zhang Qingqing, Li Yongyi, Zhu Chunyan, Wang Kai
What this study means for families
This research looked at 13 studies with 459 autistic children and teens to see if virtual reality and robot technologies help with autism interventions. The results showed these technologies can be helpful, especially virtual reality. Children aged 2-6 years old seemed to benefit the most. The technologies helped with social skills, thinking skills, and behavior. However, the research on robots was less clear about whether they're helpful.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Research summary
This meta-analysis examined 13 studies involving 459 individuals with autism (ages 2-15) to evaluate the effectiveness of intelligent interaction technologies, including Extended Reality (XR) and robotic systems, for autism interventions. The overall analysis found significant positive effects (SMD=0.66, 95% CI: 0.27-1.05, p < 0.001) across social, cognitive, and behavioral domains. XR interventions showed particularly strong effects (SMD=0.80, 95% CI: 0.47-1.13), while robotic interventions showed high heterogeneity and inconclusive results. Preschool-aged children (2-6 years) demonstrated the largest improvements (SMD=1.00, p = 0.007).
The study included participants from multiple continents but lacked African representation. No significant publication bias was detected.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Key findings
- 1
Intelligent interaction technologies showed significant overall effectiveness for autism interventions (SMD=0.66)
Confidence: highRelevance: high - 2
Extended Reality (XR) interventions demonstrated strong positive effects (SMD=0.80)
Confidence: highRelevance: high - 3
Preschool-aged children (2-6 years) showed the largest improvements (SMD=1.00)
Confidence: moderateRelevance: high - 4
Robotic interventions showed high heterogeneity and inconclusive effectiveness
Confidence: moderateRelevance: moderate
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Clinical implications
XR technologies show promise as effective autism interventions, particularly for preschool children and cognitive targets. Clinicians should consider XR-based interventions as evidence-based options. Further research needed on robotic interventions before clinical recommendations. Age-specific intervention planning may optimize outcomes.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Limitations
Sample size limited to 459 participants across 13 studies. No representation from African populations. High heterogeneity observed in robotic intervention studies. Age range restricted to 2-15 years. Limited geographical diversity may affect generalizability of findings.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Original abstract
This research aims to conduct a systematic review of the literature on the utilization of intelligent interaction technologies, including Extended Reality (XR) and robotic systems, within the context of autism interventions. This study commenced on June 16, 2022, and conducted a systematic search of publications from 2017 to 2024 using Boolean terms such as "Virtual Reality" AND "autism" AND "RCT" in PubMed, Web of Science, Cochrane Library, SpringerLink, and Embase. Two reviewers independently conducted research selection, data extraction, and quality assessment (using Cochrane Risk of Bias tool, RoB 2), and resolved differences through discussion. Statistical analysis was conducted in STATA using a random-effects model to calculate Standardized Mean Difference (SMD), supplemented by sensitivity analysis, funnel plot, and Egger's test to ensure robustness.
The meta-analysis included 13 studies involving 459 individuals with ASD from different regions (age range: 2-15 years, diagnosed using standardized instruments), including Europe, the Americas, Asia, and the Middle East, but without representatives from Africa. The results showed that intelligent interactive intervention demonstrated significant efficacy (SMD=0.66, 95 % CI: 0.27-1.05, p < 0.001). Subgroup analyses indicated that age and intervention targets influenced the effect size, with particularly pronounced positive impacts observed in preschool-aged children and cognitive interventions. Subgroup analysis of intervention measures showed that the XR group exhibited a more positive effect.
In contrast, the robotic group, due to high heterogeneity and wide confidence intervals, did not lead to a conclusion that this intervention was effective overall. Additionally, sensitivity analysis, funnel plots, and Egger's test were conducted, demonstrating that the results are stable and no significant publication bias. In conclusion, the overall efficacy of intelligent interaction as an intervention is positive, showing benefits in social, cognitive, and behavioral aspects of ASD, particularly with XR (SMD=0.80, 95 % CI: 0.47-1.13). However, further research is required to ascertain the effects of robots.
Furthermore, this study suggests intelligent interaction demonstrated larger effects for preschool-aged children(2-6 years; SMD=1.00, p = 0.007).
Evidence Grade
strong
Grade assigned by AutismInsights based on study type and published abstract.
Study Details
- Type
- Meta-Analysis
- Journal
- Research in developmental disabilities
- Year
- 2025
- PMID
- 40784194
- DOI
- 10.1016/j.ridd.2025.105087
MeSH Terms