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Real-Time Emotion Detection System’s Impact on Pivotal Response Training Protocol

  • Gema Benedicto,
  • Félix de la Paz,
  • Antonio Fernández-Caballero,
  • Eduardo Fernandez

摘要

In recent years, there has been a growing emphasis on Autism Spectrum Disorder (ASD), marked by evolving classifications and increasing global prevalence. Early intervention is underscored as crucial for effective management of ASD, given that emotional dysregulation is a prominent characteristic, leading to challenges in regulating and expressing emotions in a typical manner. This study aims to propose the utilization of Empatica E4 (at the physiological level) and Face tracking (at the behavioral level) as a real-time emotion detection system, exploring its potential impact on interventions based on the Pivotal Response Treatment method (PRT) for children with autism. The goal is to enhance understanding of the child’s emotions, facilitate communication, strengthen emotional connections during interventions, and promote strategies for managing intense emotions. Integrating a real-time emotion detection system into PRT interventions holds promise for significantly enhancing the therapeutic process. By providing valuable insights into the child’s emotional state, this approach offers a promising avenue to tailor treatments to individual needs and provide greater emotional support and social development for children with ASD.