Multimodal annotation tool for challenging behaviors in people with Autism spectrum disorders
Name
Picard_Multimodal annotation.pdf
Size
348.62 KB
Format
Adobe PDF
Checksum (MD5)
d5bda57fc64430b8e222694ea238a472
Author(s)
Sano, Akane
Deprey, Jean
Picard, Rosalind W.
Hernandez Rivera, Javier
Eckhardt, Micah Rye
Goodwin, Matthew
Date Issued
September 2012
Journal
Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
Publisher
Association for Computing Machinery (ACM)
Citation
Akane Sano, Javier Hernandez, Jean Deprey, Micah Eckhardt, Matthew S. Goodwin, and Rosalind W. Picard. 2012. Multimodal annotation tool for challenging behaviors in people with Autism spectrum disorders. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12). ACM, New York, NY, USA, 737-740.
Version
Author's final manuscript
Abstract
Individuals diagnosed with Autism Spectrum Disorders (ASD) often have challenging behaviors (CB's), such as self-injury or emotional outbursts, which can negatively impact the quality of life of themselves and those around them. Recent advances in mobile and ubiquitous technologies provide an opportunity to efficiently and accurately capture important information preceding and associated with these CB's. The ability to obtain this type of data will help with both intervention and behavioral phenotyping efforts. Through collaboration with behavioral scientists and therapists, we identified relevant design requirements and created an easy-to-use mobile application for collecting, labeling, and sharing in-situ behavior data in individuals diagnosed with ASD. Furthermore, we have released the application to the community as an open-source project so it can be validated and extended by other researchers.
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2370216.2370378
