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

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

Content Provider	ACM Digital Library
Author	DeThorne, Laura Coletto, Mary-Kelsey Hailpern, Joshua Karahalios, Karrie Halle, James
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.
Starting Page	11
Ending Page	18
Page Count	8
File Format	PDF
ISBN	9781595939760
DOI	10.1145/1414471.1414476
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-10-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Audio feedback Guidline Autism Visualization Asd Coding Kappa Point-by-point agreement Video Reliability Annotation
Content Type	Text
Resource Type	Article

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