Abstract

This study explored the application of facial motion capture to Autism Spectrum Disorder therapy. The FaceShift technology was utilized in a behavior change intervention for children with ASD. The intervention focused on using facial expressions to display emotions.

The results of the study exhibit that all students involved achieved a higher percent in both facial expressions attempted and successfully demonstrated in intervention over baseline. However, this increase was not maintained in generalization. Without a successful generalization the intervention would not be recommended in its current framework. Recommendations for further research are provided.

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer and Information Technology

Date of Award

Spring 2014

First Advisor

Nicoletta Adamo-Villani

Committee Member 1

David M. Wittinghill

Committee Member 2

Teresa Taber-Doughty

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