Redirected walking enables users to locomote naturally within a virtual environment that is larger than the available physical space. These systems depend on steering algorithms that continuously redirect users within limited real world boundaries. While a majority of the most recent research has focused on predictive algorithms, it is often necessary to utilize reactive approaches when the user's path is unconstrained. Unfortunately, previously proposed reactive algorithms assume a completely empty space with convex boundaries and perform poorly in complex real world spaces containing obstacles. To overcome this limitation, we present Push/Pull Reactive (P2R), a novel algorithm that uses an artificial potential function to steer users away from potential collisions. We also introduce three new reset strategies and conducted an experiment to evaluate which one performs best when used with P2R. Simulation results demonstrate that the proposed approach outperforms the previous state-of-the-art reactive algorithm in non-convex spaces with and without interior obstacles.
|Original language||English (US)|
|Title of host publication||26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||7|
|State||Published - Mar 2019|
|Event||26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Osaka, Japan|
Duration: Mar 23 2019 → Mar 27 2019
|Name||26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings|
|Conference||26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019|
|Period||3/23/19 → 3/27/19|
Bibliographical noteFunding Information:
This research was supported by a Google VR Research Award.
© 2019 IEEE.
Copyright 2019 Elsevier B.V., All rights reserved.
- Centered computing
- Human computer interaction (HCI)
- Interaction paradigms
- Virtual reality