Table 2.

Key elements/points emerging from the overview of articles on the intersection of AI and ATs.

Article Study	Key Points on the Intersection of AI and ATs in Autism
Silvera Tawill et al. [33]	AI-driven socially-assistive robots for teaching support
Deng et al. [34]	AI-powered sensory management recommendation system for children with ASD.
Wan et al. [35]	AI-based system for improving emotion recognition in children with ASD.
Kumar et al. [36]	Automation of ASD diagnosis using machine learning techniques.
Jain et al. [37]	AI-driven models for recognizing and responding to user engagement in robot interventions.
Keshav et al. [38]	AI-driven models for recognizing and responding to user engagement in robot interventions.
Vahabzadeh et al. [39]	AI-driven smartglasses intervention for improving socio-emotional behaviors in students with ASD.
Cooper et al. [40]	AAC software program with an embedded artificial conversational agent for children with autism.
Huijnen et al. [41]	Roles, strengths, and challenges of AI-equipped robots in interventions for children with ASD.
Keshav et al. [42]	Tolerability and usability of AI-driven smartglasses for individuals with ASD.
Linstead et al. [43]	Usefulness in perspective of AI in the treatment dosage and in providing insights into its varied effects across different domains.
Desideri et al. [44]	Exploration of humanoid robots’ potential to enhance educational interventions for children with ASD.
Huijnen et al. [45]	Practical implementation of robots (implementing AI based algorithms), particularly robot KASPAR, in education and therapy interventions for children with ASD.
Bekele et al. [46]	Pilot study on an AI-driven robot-mediated system administering joint attention prompts to children with ASD with a demonstration of AI’s potential to enhance engagement and learning in educational activities for children with ASD.
Williams et al. [47]	Highlighting AI-like systems’ (with speech synthesizer) role in improving speech recognition and training for individuals with ASD.