A3: a coding guideline for HCI+autism research using video annotation

Authors:
Joshua Hailpern;Karrie Karahalios;James Halle;Laura DeThorne;Mary-Kelsey Coletto
Affiliations:
University of Illinois, Urbana, IL, USA;University of Illinois, Urbana, IL, USA;University of Illinois, Champaign, IL, USA;University of Illinois, Champaign, IL, USA;University of Illinois, Champaign, IL, USA
Venue:
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Year:
2008

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Abstract

Due to the profile of strengths and weaknesses indicative of autism spectrum disorders (ASD), technology may play a key role in ameliorating communication difficulties with this population. This paper documents coding guidelines established through cross-disciplinary work focused on facilitating communication development in children with ASD using computerized feedback. The guidelines, referred to as A3 (pronounced A-Cubed) or Annotation for ASD Analysis, define and operationalize a set of dependent variables coded via video annotation. Inter-rater reliability data are also presented from a study currently in-progress, as well as related discussion to help guide future work in this area. The design of the A3 methodology is well-suited for the examination and evaluation of the behavior of low-functioning subjects with ASD who interact with technology.