A Gaze-Contingent Adaptive Virtual Reality Driving Environment for Intervention in Individuals with Autism Spectrum Disorders

Author:

Wade Joshua1,Zhang Lian1,Bian Dayi1,Fan Jing1,Swanson Amy2,Weitlauf Amy2,Sarkar Medha3,Warren Zachary4,Sarkar Nilanjan5

Affiliation:

1. Department of Electrical Engineering and Computer Science, Vanderbilt University, TN, USA

2. Treatment and Research Institute for Autism Spectrum Disorders, Kennedy Center, Vanderbilt University, TN, USA

3. Department of Computer Science, Middle Tennessee State University, TN, USA

4. Department of Pediatrics and Psychiatry, Vanderbilt University, TN, USA

5. Department of Mechanical Engineering, Vanderbilt University, TN, USA

Abstract

In addition to social and behavioral deficits, individuals with Autism Spectrum Disorder (ASD) often struggle to develop the adaptive skills necessary to achieve independence. Driving intervention in individuals with ASD is a growing area of study, but it is still widely under-researched. We present the development and preliminary assessment of a gaze-contingent adaptive virtual reality driving simulator that uses real-time gaze information to adapt the driving environment with the aim of providing a more individualized method of driving intervention. We conducted a small pilot study of 20 adolescents with ASD using our system: 10 with the adaptive gaze-contingent version of the system and 10 in a purely performance-based version. Preliminary results suggest that the novel intervention system may be beneficial in teaching driving skills to individuals with ASD.

Funder

National Institutes of Health

National Science Foundation

Vanderbilt Kennedy Center

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

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