Parents and teachers of children with autism (CWA) often use several therapeutic interventions, keeping vast records to assess improvement in behavior and learning. They often employ evidence based care (EBC) techniques which involve the collection and use of vast quantities of personal and research oriented data for the diagnosis and treatment of CWA. Automated capture technologies and the associated access interfaces for exploring past experiences are particularly promising for monitoring the effectiveness of these interventions for behavioral and learning disabilities in children. Behavioral and learning data can be captured, analyzed, and mined over time to provide valuable evidence to track the progress of any intervention. Prototypes developed for this problem must address both technical and social factors to be successful.
The Autism Research Group at Georgia Tech includes researchers interested in Human Computer Interaction, Design, Artificial Intelligence, Machine Learning, and Mobile and Wearable Computing. Thus, research originating in this group covers a wide variety of domain problems and methodological approaches. Past and current projects include:
Gillian R. Hayes is a PhD candidate at Georgia Tech and part of the Ubicomp and Autism Research Groups. Her primary focus is on supporting the capture of data in unplanned, naturalistic settings, particularly for healthcare and education domain problems. She will be presenting both her own work and the work of others in the Autism Research Group at Georgia Tech. More on this group can be found at http://home.cc.gatech.edu/autism, and more on Gillian can be found at http://www.gillianhayes.com