Title

Virtual Reality Interaction Techniques For Individuals With Autism Spectrum Disorder: Design Considerations And Preliminary Results

Keywords

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

Abstract

Virtual reality systems are seeing growing use for training individuals with Autism Spectrum Disorder (ASD). Although the tested systems indicate effective use of virtual reality for training, there is little work in the literature evaluating different virtual reality interaction techniques for this specific group of audience. Individuals with ASD are stated to have different characteristics and perceptions. This requires careful exploration of good design principles in interaction. This paper presents design and preliminary evaluation of interaction techniques for individuals with ASD to be used in a highly immersive virtual reality vocational training system VR4VR [1]. The system includes motion tracking cameras, a head mounted display, real time tracked objects, and several interaction tools such as haptic device and touchscreen. In this system, tangible object manipulation, haptic device interaction, touch and snap technique and touchscreen interaction were implemented for object selection and manipulation; real walking and walk in place techniques were implemented for locomotion. A user study was performed with five individuals with ASD who had no prior VR experience. The preliminary testing results and observations that show the preference of the users with ASD on the implemented interaction techniques are shared in this paper with the aim of contributing to the future studies that utilize VR for individuals with ASD.

Publication Date

1-1-2016

Publication Title

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

Volume

9732

Number of Pages

127-137

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-319-39516-6_12

Socpus ID

84978786136 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84978786136

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