VR-OOM: Virtual reality on-road driving simulation

Goedicke, David; Li, Jamy; Evers, Vanessa; Ju, Wendy

Abstract

Researchers and designers of in-vehicle interactions and interfaces currently have to choose between performing evaluation and human factors experiments in laboratory driving simulators or on-road experiments. To enjoy the benefit of customizable course design in controlled experiments with the immediacy and rich sensations of on-road driving, we have developed a new method and tools to enable VR driving simulation in a vehicle as it travels on a road. In this paper, we describe how the cost-effective and flexible implementation of this platform allows for rapid prototyping. A preliminary pilot test (N = 6), centered on an autonomous driving scenario, yields promising results, illustrating proof of concept and indicating that a basic implementation of the system can invoke genuine responses from test participants.

Citation

Goedicke, D., Li, J., Evers, V., & Ju, W. (2018, April). VR-OOM: Virtual reality on-road driving simulation. Presented at CHI '18: CHI Conference on Human Factors in Computing Systems, Montreal, Canada

• Presentation Conference Type: Conference Paper (published)
• Conference Name: CHI '18: CHI Conference on Human Factors in Computing Systems
• Start Date: Apr 21, 2018
• End Date: Apr 26, 2018
• Online Publication Date: Apr 19, 2018
• Publication Date: 2018
• Deposit Date: May 7, 2024
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Article Number: 165
• Book Title: CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
• ISBN: 9781450356206
• DOI: https://doi.org/10.1145/3173574.3173739
• Public URL: http://researchrepository.napier.ac.uk/Output/3636843