Abstract

Early intervention in individuals with Autism Spectrum Disorder (ASD) can improve core and associated symptoms and facilitate skills that increase social opportunities. However, determining effective intervention success in this population, and the mechanisms that produce it, is currently restricted to observable behavior. The need of therapy assessment metrics beyond traditional behavioral criteria, led to the use of physiological signals for capturing child-therapist internal dynamics during an intervention session. Internal physiological states were measured through Electrodermal Activity (EDA) and modeled in relation to observed self- and co-regulatory behaviors. A common measure of EDA, Skin Conductance Response (SCR), was the primary signal of interest and assumed to form a non-homogeneous Poisson Process whose rate function is determined by observed regulatory behaviors. Through likelihood and …

Date

2014

Authors

Theodora Chaspari, Matthew Goodwin, Oliver Wilder-Smith, Amanda Gulsrud, Charlotte A Mucchetti, Connie Kasari, Shrikanth Narayanan

Conference

2014 IEEE international conference on acoustics, speech and signal processing (ICASSP)

Pages

1611-1615

Publisher

IEEE