  We have developed a system for automatic facial expression recognition, which
runs on Google Glass and delivers real-time social cues to the wearer. We
evaluate the system as a behavioral aid for children with Autism Spectrum
Disorder (ASD), who can greatly benefit from real-time non-invasive emotional
cues and are more sensitive to sensory input than neurotypically developing
children. In addition, we present a mobile application that enables users of
the wearable aid to review their videos along with auto-curated emotional
information on the video playback bar. This integrates our learning aid into
the context of behavioral therapy. Expanding on our previous work describing
in-lab trials, this paper presents our system and application-level design
decisions in depth as well as the interface learnings gathered during the use
of the system by multiple children with ASD in an at-home iterative trial.

Human-Computer Interaction