Technology-Based Interventions for Autism Spectrum Disorder: A Systematic Review

Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and repetitive behaviors. Its prevalence has steadily increased, with the CDC reporting a rise from 1 in 100 children in 2006 to 1 in 44 in the United States by 2021. ASD manifests in a spectrum of symptoms, requiring tailored interventions to address each child’s unique needs. Recent advancements in technology have shown promise in aiding children with ASD, particularly through robotics and socially assistive robots (SARs). This systematic review explores the impact of technology-based interventions on children with ASD, assessing their efficacy in enhancing social skills, communication, and behavior regulation. Methodology: This review followed PRISMA guidelines, screening 46,580 articles across databases such as PubMed, Cochrane, Science Direct, Google Scholar, and PsychInfo. After applying inclusion and exclusion criteria, 254 studies were selected for in-depth review. The review focused on technology-based interventions, including robotics and socially assistive robots, with MeSH terms such as “Technology,” “Artificial Intelligence,” “Autism Spectrum Disorder,” and “ASD.” Results: Technology-based interventions, particularly SARs, demonstrated significant improvements in social interaction, emotional regulation, and communication for children with ASD. Robots such as LEGO Mindstorms and “Kaspar” were effective in enhancing eye contact, cooperation, and emotional recognition. However, results varied depending on the type of technology used, study design, and participant characteristics. Conclusion: While technology-based interventions hold promise for children with ASD, further research is needed to standardize intervention protocols, dosage, and long-term outcomes. These tools offer a non-invasive, scalable solution for enhancing social and cognitive skills, but variability in study designs limits definitive conclusions.