David Goedicke
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 |
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