A scalable computational approach to assessing response to name in toddlers with autism
Abstract
This study is part of a larger research program focused on developing objective, scalable tools for digital behavioral phenotyping. We evaluated whether a digital app delivered on a smartphone or tablet using computer vision analysis (CVA) can elicit and accurately measure one of the most common early autism symptoms, namely failure to respond to a name call.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 28, 2021
- Source ID
- 10.1111/jcpp.13381
Entities
People
- Adrianne Harris
- Barbara Walter
- Brian Eichner
- Eliana M. Perrin
- Geraldine Dawson
- Guillermo Sapiro
- Jacqueline Flowers
- Jeffrey Baker
- Jill Howard
- Kimberly Carpenter
- Lauren Franz
- Marina Spanos
- Martha Gagliano
- Matias Di Martino
- Naomi Davis
- Pradeep Raj
- Rachel Aiello
- Sam Perochon
- Scott Compton
- Scott H. Kollins
- Steven Espinosa
- Zhuoqing Chang
Organizations
- Duke University
- Office of Naval Research