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Automated Measures to Understand Communication Opportunities for Young Children With Autism in the Community: A Pilot Study.

Lauren M LittleJoanne P RojasAnna BardYing LuoDwight IrvinBeth Rous
Published in: OTJR : occupation, participation and health (2019)
Community participation is vital to children's development and provides opportunities to practice social communication skills. Although previous studies suggest that young children with autism spectrum disorders (ASD) experience decreased community participation, there is little empirical evidence on the precise patterns of participation that may influence social communication opportunities. Therefore, this pilot study investigated the communication among families of children with ASD ( n = 5) versus typical development (TD; n = 5) across various community locations. We used automated, objective measures: the Language ENvironmental Analysis (LENA) system™ to measure the amount of communication and integrated this with a Global Positioning System (GPS; that is, Qstarz™) to measure community location. Results showed that families of children with ASD and TD spent a similar amount of time in community locations; however, there were differences in the amount of adult talk directed toward children with ASD versus TD across community locations. Findings suggest that automated measures may be successfully integrated to quantify social communication during community participation.
Keyphrases
  • mental health
  • autism spectrum disorder
  • healthcare
  • young adults
  • intellectual disability
  • attention deficit hyperactivity disorder
  • machine learning
  • primary care
  • mass spectrometry
  • high resolution
  • working memory