BiRD: Using Bidirectional Rotation Gain Differences to Redirect Users during Back-and-forth Head Turns in Walking
Sen-Zhe Xu, Fiona Xiao Yu Chen, Ran Gong, Fang-Lue Zhang, Song-Hai Zhang
Abstract
Redirected walking (RDW) facilitates user navigation within expansive virtual spaces despite the constraints of limited physical spaces. It employs discrepancies between human visual-proprioceptive sensations, known as gains, to enable the remapping of virtual and physical environments. In this paper, we explore how to apply rotation gain while the user is walking. We propose to apply a rotation gain to let the user rotate by a different angle when reciprocating from a previous head rotation, to achieve the aim of steering the user to a desired direction. To apply the gains imperceptibly based on such a Bidirectional Rotation gain Difference (BiRD), we conduct both measurement and verification experiments on the detection thresholds of the rotation gain for reciprocating head rotations during walking. Unlike previous rotation gains which are measured when users are turning around in place (standing or sitting), BiRD is measured during users' walking. Our study offers a critical assessment of the acceptable range of rotational mapping differences for different rotational orientations across the user's walking experience, contributing to an effective tool for redirecting users in virtual environments.
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Builds on8
- A Steering Algorithm for Redirected Walking Using Reinforcement LearningRyan R. Strauss, Raghuram Ramanujan, Andrew Becker, Tabitha C. PeckIEEE VR 2020 · 81 citations
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- FREE-RDW: A Multi-user Redirected Walking Method for Supporting Non-forward StepsTianyang Dong, Tieqi Gao, Yinyan Dong, Liming Wang et al.IEEE VR 2023 · 12 citations
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