Familiar Video Stories as Means for Children with Autism: An Analytics Approach
Description/Abstract/Artist Statement
Chen et al. developed a video face replacement technology, which presents a unique and individualized video to a child with Autism Spectrum Disorder (ASD) that includes familiar faces and places. With this technology, it was found that the personalized videos encouraged children with ASD to express more positive emotions during a novel experience. In order to ascertain how much of the desired information was actually gleaned from watching the video social story, an existing video learning analytic system was used to determine how subjects with ASD perceived the videos. The preliminary results of this pilot study indicate the need for further investigation into how the user interface and its enhancements can provide precise information on the perception and cognition of the individuals with ASD.
Presentation Type
Event
Location
Learning Commons @ Perry Library, Northwest Atrium
Start Date
2-13-2016 8:00 AM
End Date
2-13-2016 12:30 PM
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Familiar Video Stories as Means for Children with Autism: An Analytics Approach
Learning Commons @ Perry Library, Northwest Atrium
Chen et al. developed a video face replacement technology, which presents a unique and individualized video to a child with Autism Spectrum Disorder (ASD) that includes familiar faces and places. With this technology, it was found that the personalized videos encouraged children with ASD to express more positive emotions during a novel experience. In order to ascertain how much of the desired information was actually gleaned from watching the video social story, an existing video learning analytic system was used to determine how subjects with ASD perceived the videos. The preliminary results of this pilot study indicate the need for further investigation into how the user interface and its enhancements can provide precise information on the perception and cognition of the individuals with ASD.
Comments
Faculty Mentor: Dr. Nikos Chrisochoides
Computer Science