Virtual Reality Interaction Techniques For Individuals With Autism Spectrum Disorder

Keywords

Autism spectrum disorder; Interaction techniques; Virtual reality; Vocational rehabilitation

Abstract

Virtual reality (VR) systems are seeing growing use for training individuals with Autism Spectrum Disorder (ASD). Although these systems indicate effective use of VR for training, there is little work in the literature evaluating different VR interaction techniques for this audience. In this paper, different VR interaction techniques are explored in the Virtual Reality for Vocational Rehabilitation (VR4VR) system and additional data analysis on top of our previously published preliminary results [1] was performed via a user study with nine individuals with ASD and ten neurotypical individuals. The participants tried six vocational training modules of the VR4VR system. In these modules, tangible object manipulation, haptic device, touch and snap and touchscreen were tested for object selection and manipulation; real walking and walk-in-place were tested for locomotion; and head mounted display and curtain screen were tested for display. Touchscreen and tangible interaction methods were preferred by the individuals with ASD. The walk-in-place locomotion technique were found frustrating and difficult to perform by the individuals with ASD. Curtain display received higher preference scores from individuals with ASD although they accepted the HMD as well. The observations and findings of the study are expected to give insight into the poorly explored area of experience of individuals with ASD with various interaction techniques in VR.

Publication Date

1-1-2018

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

10908 LNCS

Number of Pages

58-77

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-319-92052-8_6

Socpus ID

85050633245 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85050633245

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