Abaris: Evaluating automated capture applied to structured autism interventions

Julie A. Kientz*, Sebastian Boring, Gregory D. Abowd, Gillian R. Hayes

*Corresponding author for this work
27 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages17
Publication date1 Dec 2005
Pages323-339
ISBN (Print)3540287604, 9783540287605
Publication statusPublished - 1 Dec 2005
Event7th International Conference on Ubiquitous Computing, UbiComp 2005 - Tokyo, Japan
Duration: 11 Sept 200514 Sept 2005

Conference

Conference7th International Conference on Ubiquitous Computing, UbiComp 2005
Country/TerritoryJapan
CityTokyo
Period11/09/200514/09/2005
SponsorKDDI R and D Labs, NTT DoCoMo, NEC, Fuji Xerox, Fujitsu
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3660 LNCS
ISSN0302-9743

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