This study aimed to investigate the use of social robots as an interactive learning approach for treating children diagnosed with autism spectrum disorder (ASD). A review was conducted using the meta-analysis technique to compile pertinent research. An analysis was performed on the results of the online search process, which gathered information on pertinent research published until 31 January 2025, from three publication databases: IEEE Xplore, SCOPUS, and Google Scholar. One hundred and seven papers out of the 591 publications that were retrieved satisfied the previously established inclusion and exclusion criteria. Despite the differences in methodology and heterogeneity, the data were synthesized narratively. This review focuses on the various types of social robots used to treat ASD, as well as their communication mechanisms, development areas, target behaviors, challenges, and future directions. Both practitioners and seasoned researchers looking for a fresh approach to their next project will find this review a useful resource that offers broad summaries of state-of-the-art research in this field.
Nadeem et al. (Thu,) studied this question.
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