Strafing Gain: Redirecting Users One Diagonal Step at a Time

Abstract

Redirected walking can effectively utilize a user’s physical space when traversing larger virtual environments by using virtual self-motion gains for a user’s physical motions. In particular, curvature gain presents unique advantages in redirection but can lead to suboptimal orientations. To prevent this and add additional utility in redirected walking, we formally present strafing gain. Strafing gain seeks to add incremental lateral movements to a user’s position causing the user to walk along a diagonal trajectory while maintaining the original orientation of the user. In a study with 27 participants, we tested 11 values to determine the detection thresholds of strafing gain. The study, which was modeled on prior detection threshold studies, found that strafing gain could successfully redirect participants to walk along a 5.57° diagonal to the right and a 4.68° diagonal to the left. Furthermore, a supplementary study with 10 participants was conducted, verifying that orientation was maintained throughout redirection and validating the obtained detection thresholds. We discuss the implications of these findings and potential ways of improving these quantities in real-world applications.

Topics & Concepts