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One-step out-of-place resetting for redirected walking in VR

In this work, we proposed a new out-of-place resetting strategy that guides users to optimal physical locations with the most potential for free movement and a smaller amount of resetting required for their further movements. For this purpose, we calculate a heat map of the walking area according to the average walking distance using a simulation of the used RDW algorithm. Based on this heat map we identify the most suitable position for a one-step reset within a predefined searching range and use the one as the reset point. The results show that our method increases the average moving distance within one cycle of resetting. Furthermore, our resetting method can be applied to any physical area with obstacles. That means that RDW methods that were not suitable for such environments (e.g. Steer to Center) combined with our resetting can also be extended to such complex walking areas. In addition, we also present a resetting user interface to instruct users to move the nearby point, by using light spots to bring user a sense of relative displacement while the virtual scenario is still.