Supporting in-home collection and sharing of behavior evidence for diagnostic assessment of children with autism

Dr. Gregory D. Abowd, Dr. Rosa I. Arriaga, Dr. Agata Rozga

We have designed and evaluated a Clinician-directed Capture and Access system that can enable (1) parents to easily collect clinician-prescribed in-home behavior specimens(video evidence of behaviors) that have clinical utility, and (2) clinical experts to conduct diagnostic assessment for autism based on parent-collected in-home behavior specimens.
Currently, in collaboration with an autism center, a clinical trial is being conducted to validate this remote autism diagnostic model on a larger scale.


We are interested in ubiquitous computing and the research issues involved in building and evaluating ubicomp applications and services that impact our lives. Much of our work is situated in settings of everyday activity, such as the classroom, the office and the home. Our research focuses on several topics including, automated capture and access to live experiences, context-aware computing, applications and services in the home, natural interaction, software architecture, technology policy, security and privacy issues, and technology for individuals with special needs.