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Teaching Children with Autism Spectrum Disorder Desire-Based Emotion Prediction and Cause.

Angela PersickeAdel C NajdowskiJonathan TarboxMegan St Clair
Published in: Behavior analysis in practice (2022)
This study aimed to expand current research in one area of perspective taking related to teaching children with autism spectrum disorder to predict others' emotions. The current study evaluated a behavioral teaching procedure on predicting and inferring the cause of emotions based on another's desires. The procedure included a training package including multiple-exemplar training, rules, modeling, prompting, and reinforcement across scenarios in which children with autism were asked to predict how others may feel given a met or unmet desire or nondesire. Three children with autism, who did not already demonstrate this skill at baseline, were included in the study and learned a repertoire of emotion prediction and cause that generalized to untrained novel scenarios. Generalization to situations in which it was necessary to apply information about another's desires during play activities was not observed until direct in-vivo training was implemented. Future directions and implications of this research are discussed.
Keyphrases
  • autism spectrum disorder
  • climate change
  • young adults
  • intellectual disability
  • minimally invasive
  • social media
  • virtual reality