VR-OOM: Virtual Reality On-rOad driving siMulation

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

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    22 Citations (Scopus)
    1 Downloads (Pure)


    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.
    Original languageEnglish
    Title of host publicationCHI '18. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
    Number of pages11
    ISBN (Electronic)978-1-4503-5620-6
    Publication statusPublished - Apr 2018
    EventConference on Human Factors in Computing Systems, CHI 2018 - Palais des Congrès de Montréal, Montreal, Canada
    Duration: 21 Apr 201826 Apr 2018


    ConferenceConference on Human Factors in Computing Systems, CHI 2018
    Abbreviated titleCHI
    Internet address


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