University of Sussex
Browse

File(s) under permanent embargo

Drift-correction techniques for scale-adaptive VR navigation

conference contribution
posted on 2023-06-09, 18:37 authored by Roberto Antonio Montano Murillo, Patricia Ivette Cornelio Martinez, Sriram Subramanian, Diego Martinez Plasencia
Scale adaptive techniques for VR navigation enable users to navigate spaces larger than the real space available, while allowing precise interaction when required. However, due to these techniques gradually scaling displacements as the user moves (changing user's speed), they introduce a Drift effect. That is, a user returning to the same point in VR will not return to the same point in the real space. This mismatch between the real/virtual spaces can grow over time, and turn the techniques unusable (i.e., users cannot reach their target locations). In this paper, we characterise and analyse the effects of Drift, highlighting its potential detrimental effects. We then propose two techniques to correct Drift effects and use a data driven approach (using navigation data from real users with a specific scale adaptive technique) to tune them, compare their performance and chose an optimum correction technique and configuration. Our user study, applying our technique in a different environment and with two different scale adaptive navigation techniques, shows that our correction technique can significantly reduce Drift effects and extend the life-span of the navigation techniques (i.e., time that they can be used before Drift draws targets unreachable), while not hindering users' experience.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Proceedings of the 32nd ACM User Interface Software and Technology Symposium (UIST 2019)

Publisher

Association for Computing Machinery

Page range

1123-1135

Event name

UIST 2019 32nd ACM User Interface Software and Technology Symposium

Event location

New Orleans, USA

Event type

conference

Event date

20 - 23 October, 2019

ISBN

978-1-4503-6816-2

Department affiliated with

  • Informatics Publications

Research groups affiliated with

  • Creative Technology Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2019-08-13

First Compliant Deposit (FCD) Date

2019-08-12

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC