Virtual reality (VR) systems allow a user to explore virtual environments (VEs) intuitively by linking display and interaction to physical movements in the real world. Walking is an intuitive method of traversal, but challenging for VR; VEs do not need to match physical spaces, so users may encounter obstacles in the real world. Redirected walking (RDW) is a technique which remaps a user’s physical walk onto a subtly different virtual path. The user then unknowingly adjusts their physical path to account for the change. With carefully selected transformations the user can be steered away from physical obstacles, allowing free walking in the VE. However, state of the art RDW techniques still require a large amount of physical space. The work in this thesis aims to reduce physical space requirements for RDW techniques. Certain RDW tasks such as infinite straight-line walking require large amounts of physical space due to perceptual limits. However, VEs which contain obstacles may not contain long straight paths and can be analysed to provide useful information about future user walk directions. This research therefore focuses specifically on the application of RDW in obstacle-rich VEs to small physical spaces. We present the following contributions on this theme: (1) MCRDW, a gain selection algorithm for RDW which uses simulated walks to anticipate future user trajectories, (2) a psychophysical study on tolerance to rate of gain change, the results of which indicate that slow gain change is significantly harder to detect than sudden gain change, and (3) Shared Spaces, a multi-user technique to allow users to share spaces virtually while allowing real walking locally.


    Access

    Download


    Export, share and cite



    Title :

    Redirected Walking in Obstacle-Rich Virtual Environments


    Contributors:

    Publication date :

    2022-11-28


    Remarks:

    Doctoral thesis, UCL (University College London).


    Type of media :

    Theses


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



    Toward full-immersive multiuser virtual reality with redirected walking

    Van Onsem, Thomas / Struye, Jakob / Perez, Xavier Costa et al. | BASE | 2023

    Free access

    Visuo-Haptic Redirected Walking Using Handrail

    Matsumoto, Keigo / Narumi, Takuji / Yanase, Yohei et al. | DataCite | 2018


    Visual capture of gait during redirected walking

    Rothacher, Yannick / Nguyen, Anh / Lenggenhager, Bigna et al. | BASE | 2018

    Free access

    Short-term trajectory prediction for full-immersive multiuser virtual reality with redirected walking

    Lemic, Filip / Struye, Jakob / Famaey, Jeroen | BASE | 2023

    Free access

    Effect of Environment Size on Curvature Redirected Walking Thresholds

    Nguyen, Anh Thy H / Rothacher, Yannick / Kunz, Andreas et al. | BASE | 2018

    Free access