Familiar Video Stories as Means for Children with Autism: An Analytics Approach

Comments

Faculty Mentor: Dr. Nikos Chrisochoides

Computer Science

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

Upload File

wf_no

This document is currently not available here.

Share

COinS
 
Feb 13th, 8:00 AM Feb 13th, 12:30 PM

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.