FAR: End-to-End Vibrotactile Distributed System Designed to Facilitate Affect Regulation in Children Diagnosed with Autism Spectrum Disorder Through Slow Breathing

要旨

To address difficulties with affect dysregulation in youth diagnosed with autism spectrum disorder (ASD), we designed and developed an end-to-end vibrotactile breathing pacer system and evaluated its usability. In this paper we describe the system architecture and the features we deployed for this system based on expert advice and reviews. Through piloting this system with one child diagnosed with ASD, we learned that our system was used in ways we did and did not anticipate. For example, the paced-breathing personalization procedure did not meet the attention span of the pilot participant but two instead of one pacer devices encouraged caregiver’s involvement. This paper details our learnings and concludes with a list of system design guidelines at the system architecture level. To the best of our knowledge, this is the first fully functional vibrotactile system designed for ASD children that withstood usability testing in vitro for two weeks.

著者
Pardis Miri
Stanford University, Palo Alto, California, United States
Mehul Arora
Stanford University, stanford, California, United States
Aman Malhotra
Stanford University, Stanford, California, United States
Robert Flory
Intel, Hillsboro, Oregon, United States
Stephanie Hu
Stanford University, Stanford, California, United States
Ashley Lowber
Stanford University, Stanford, California, United States
Ishan Goyal
Stanford University, Stanford, California, United States
Jacqueline Nguyen
Stanford University, Stanford, California, United States
John P. Hegarty
Stanford University, Stanford, California, United States
Marlo Kohn
Stanford University, Stanford, California, United States
David Schneider
Stanford University, Stanford, California, United States
Heather Culbertson
University of Southern California, Los Angeles, California, United States
Daniel L. K. Yamins
Stanford, Stanford, California, United States
Lawrence Fung
Stanford University, Stanford, California, United States
Antonio Hardan
Stanford University, Stanford, California, United States
James J. Gross
Stanford University, Stanford, California, United States
Keith Marzullo
University of Maryland, Maryland, Washington, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517619

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Haptic Sensing

386
4 件の発表
2022-05-02 20:00:00
2022-05-02 21:15:00