Summary
The concept and comprehension of Autism Spectrum Disorder (ASD) have evolved significantly since its initial delineation by Leo Kanner in 1943. Kanner’s seminal work led him to characterize ASD as a neurodevelopmental disorder, noting that affected individuals exhibited inherent challenges in forming typical social connections. This early understanding underscored the apparent incapacity of children with ASD to establish biologically provided contact with others (Harris, 2018). However, contemporary perspectives, as articulated by the Centers for Disease Control And Prevention (CDC), recognize ASD as a developmental disability arising from neurological variances that manifest diversely, encompassing social communication difficulties, restricted or repetitive behaviors, and distinct learning, movement, or attention patterns (cdc, 2022).
Individuals diagnosed with ASD often manifest behaviors and interests divergent from societal norms, setting them apart from those with conditions primarily characterized by social communication challenges. These idiosyncratic behaviors span a spectrum, ranging from meticulous object arrangement to distress when routines are disrupted, repetitive utterances (echolalia), and intense focus on specific object details or sensory stimuli (Antonio M. Persico, Valerio Napolioni, 2013). Recent studies by Whalen et al. and Hopkins et al. have illuminated the potential of artificial intelligence (AI) to ameliorate the lives of individuals with autism, exploring the efficacy of AI-based interventions such as computer-assisted systems (CAS) like “Teach Town” and “Face Say” in enhancing social and communication skills across various age groups (Whalen, 2010).These studies revealed significant improvements in responsive language, social abilities, and interactions with peers among participants aged 3-15 years who underwent AI-based interventions.
The results underscore the transformative potential of AI technologies in supporting individuals with ASD. By providing targeted interventions tailored to their unique challenges, AI-based approaches hold promise for enhancing the social and communication skills of individuals with autism, thereby facilitating their integration into society and enhancing their overall well-being. Integrating AI into autism intervention strategies represents a crucial step forward in providing comprehensive support for individuals with ASD, promoting their overall inclusion and well-being, and contributing to a more inclusive society.
Objectives
1- Develop an AI-power intervention program to enhance social and communication skills in individuals diagnosed with Autism Spectrum Disorder (ASD).
2- Design and implement technology-driven tools for emotional regulation and stress management specifically targeted at individuals with ASD.
3- Conduct user-centered research to understand the unique needs and challenges faced by individuals with ASD in social and communication contexts.
4- Evaluate the effectiveness of the AI-assisted intervention program in real-world settings, assessing improvements in social interaction, communication abilities, and emotional well-being.
5- Investigate the potential of AI technology in early detection and diagnosis of autism symptoms through analysis of behavioral patterns and facial expressions.
6- Collaborate with educators, therapists, and healthcare professionals to integrate the AI-assisted intervention program into existing support systems for individuals with ASD.
Funding Agency:
MOHERI