A Wearable Social Interaction Aid for Children with Autism
Late-Breaking Works: Interaction in Specific Domains
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Washington, Peter
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Voss, Catalin
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Haber, Nick
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Tanaka, Serena
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Daniels, Jena
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Feinstein, Carl
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Winograd, Terry
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Wall, Dennis
Extended Abstracts of the ACM CHI'16 Conference on Human Factors in
Computing Systems
2016-05-07
v.2
p.2348-2354
© Copyright 2016 ACM
Summary: Over 1 million children under the age of 17 in the US have been identified
with Autism Spectrum Disorder (ASD). These children struggle to recognize
facial expressions, make eye contact, and engage in social interactions.
Gaining these skills requires intensive behavioral interventions that are often
expensive, difficult to access, and inconsistently administered.nWe have
developed a system to automate facial expression recognition that runs on
wearable glasses and delivers real time social cues, with the goal of creating
a behavioral aid for children with ASD that maximizes behavioral feedback while
minimizing the distractions to the child. This paper describes the design of
our system and interface decisions resulting from initial observations gathered
during multiple preliminary trials.
