SPRING: Customizable, Motivation-Driven Technology for Children with Autism or Neurodevelopmental Differences
Name
17.Johnson-Picard-SPRING-IDC2017.pdf
Description
Accepted version
Size
6.14 MB
Format
Adobe PDF
Checksum (MD5)
7c4860b5381aa47128b96265f4f72e36
Author(s)
Johnson, Kristina T.
Picard, Rosalind W.
Date Issued
June 2017
Publisher
Association for Computing Machinery (ACM)
Citation
Johnson, Kristina T. and Picard, Rosalind W. 2017. "SPRING: Customizable, Motivation-Driven Technology for Children with Autism or Neurodevelopmental Differences."
Version
Author's final manuscript
Abstract
© 2017 Association for Computing Machinery. Current research to understand and enhance the development of children with neurological differences, including Autism Spectrum Disorder (ASD), is often severely limited by small sample sizes of human-gathered data in artificially structured learning environments. SPRING: Smart Platform for Research, Intervention, and Neurodevelopmental Growth is a new hardware and software system designed to 1) automate quantitative data acquisition, 2) optimize learning progressions through customized, motivating stimuli, and 3) encourage social, cognitive, and motor development in a personalized, childled play environment. SPRING can also be paired with sensors to probe the physiological underpinnings of motivation, engagement, and cognition. Here, we present the design principles and methodology for SPRING, as well as two heterogeneous case studies. The first case highlights enhanced attention and accelerated skill development using SPRING, while the second pairs SPRING data with electrodermal activity measurements to identify a possible physiological signature of engagement and challenge in learning.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3078072.3079718
