Abaris: evaluating automated capture applied to structured autism interventions

  • Authors:
  • Julie A. Kientz;Sebastian Boring;Gregory D. Abowd;Gillian R. Hayes

  • Affiliations:
  • College of Computing & GVU Center, Georgia Institute of Technology, Atlanta, GA;College of Computing & GVU Center, Georgia Institute of Technology, Atlanta, GA;College of Computing & GVU Center, Georgia Institute of Technology, Atlanta, GA;College of Computing & GVU Center, Georgia Institute of Technology, Atlanta, GA

  • Venue:
  • UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
  • Year:
  • 2005

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Abstract

We present an example of an automated capture application which provides access to details of discrete trial training, a highly structured intervention therapy often used with developmentally disabled children. This domain presents an interesting case study for capture technology, because of the well-defined practices and the tradition of manual recording and review of materials. There is a strong motivation for therapists to review the rich record of therapy sessions that is made possible by recorded video, but acceptance hinges on minimal intrusion upon the human activities. To achieve that, we leverage several perception technologies that fit with the natural activities of the live experience and allow the creation of meaningful indices. We also critically explore the contribution various perception technologies have on the overall utility of the capture system.