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Abstract     

Designing Capture Applications to Support the Education of Children with Autism (Full Paper)
Gillian Hayes1, Julie Kientz1, Khai Truong1, David White1, Gregory Abowd1, and Trevor Pering2
1 Georgia Institute of Technology, 2 Intel Research

We explore the social and technical design issues involved in tracking the effectiveness of educational and therapeutic interventions for children with autism (CWA). Automated capture can be applied in a variety of settings to provide a means of keeping valuable records of interventions. We present the findings from qualitative studies and the designs of capture prototypes. These experiences lead to conclusions about specific considerations for building technologies to assist in the treatment of CWA, as well as other fragile demographics. Our work also reflects back on the automated capture problem itself, informing us as computer scientists how that class of applications must be reconsidered when the analysis of data in the access phase continually influences the capture needs and when social and practical constraints conflict with data collection needs.



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