Abaris: Evaluating automated capture applied to structured autism interventions
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Abaris : Evaluating automated capture applied to structured autism interventions. / Kientz, Julie A.; Boring, Sebastian; Abowd, Gregory D.; Hayes, Gillian R.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 323-339 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3660 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Abaris
T2 - 7th International Conference on Ubiquitous Computing, UbiComp 2005
AU - Kientz, Julie A.
AU - Boring, Sebastian
AU - Abowd, Gregory D.
AU - Hayes, Gillian R.
PY - 2005/12/1
Y1 - 2005/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33646019261&partnerID=8YFLogxK
M3 - Article in proceedings
AN - SCOPUS:33646019261
SN - 3540287604
SN - 9783540287605
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 323
EP - 339
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Y2 - 11 September 2005 through 14 September 2005
ER -
ID: 214650284