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Technology for just-in-time in-situ learning of facial affect for persons diagnosed with an autism spectrum disorder
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ACM SIGACCESS Conference on Computers and Accessibility archive
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility table of contents
Halifax, Nova Scotia, Canada
SESSION: Cognition and memory (I) table of contents
Pages 19-26  
Year of Publication: 2008
ISBN:978-1-59593-976-0
Authors
Miriam Madsen  MIT Media Lab, Cambridge, MA, USA
Rana el Kaliouby  MIT Media Lab, Cambridge, MA, USA
Matthew Goodwin  Groden Center, Providence, RI, USA
Rosalind Picard  MIT Media Lab, Cambridge, MA, USA
Sponsors
ACM: Association for Computing Machinery
SIGACCESS: ACM Special Interest Group on Accessible Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Many first-hand accounts from individuals diagnosed with autism spectrum disorders (ASD) highlight the challenges inherent in processing high-speed, complex, and unpredictable social information such as facial expressions in real-time. In this paper, we describe a new technology aimed at helping people capture, analyze, and reflect on a set of social-emotional signals communicated by facial and head movements in live social interaction that occurs with their everyday social companions. We describe our development of a new combination of hardware using a miniature camera connected to an ultramobile PC together with custom software developed to track, capture, interpret, and intuitively present various interpretations of the facial-head movements (e.g., presenting that there is a high probability the person looks "confused"). This paper describes this new technology together with the results of a series of pilot studies conducted with adolescents diagnosed with ASD who used the technology in their peer-group setting and contributed to its development via their feedback.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
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2
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Collaborative Colleagues:
Miriam Madsen: colleagues
Rana el Kaliouby: colleagues
Matthew Goodwin: colleagues
Rosalind Picard: colleagues