AI-based Emotional Learning System for Individuals with Autism Spectrum Disorder

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication difficulties and restricted, repetitive patterns of behavior. Individuals with ASD often experience challenges with emotion regulation, which can lead to a variety of negative consequences, including anxiety, depression, and social isolation. Artificial intelligence (AI) has the potential to be a valuable tool for developing interventions to address emotion regulation difficulties in ASD. AI-based emotion regulation tools could provide individuals with ASD with personalized feedback and support, helping them to identify, understand, and manage their emotions. In this paper, we discuss the development of an AI-based emotion regulation tool for ASD. The tool utilizes a combination of machine learning and natural language processing techniques to identify and classify emotions from facial expressions and text-based communication. The tool also provides personalized feedback and support to users, helping them to develop effective emotion regulation strategies. We present a preliminary evaluation of the tool, which demonstrates its ability to accurately identify emotions from facial expressions and text-based communication. We also discuss the potential benefits of the tool for individuals with ASD.