Overcoming Spatial Constraints in VR: A Survey of Redirected Walking Techniques
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Jia-Hong Liu,
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Yang-Fu Ren,
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Qi Wen Gan,
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Kui Huang,
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Fiona Xiao Yu Chen,
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Er-Xia Luo,
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Khang Yeu Tang,
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Yue-Yao Fu,
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Cheng-Wei Fan,
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Sen-Zhe Xu,
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Song-Hai Zhang
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Abstract
As the virtual reality (VR) technology strives to provide immersive and natural user experiences, the challenge of aligning vast virtual environments with limited physical spaces remains significant. This survey comprehensively explores the advancements in redirected walking (RDW) techniques aimed at overcoming spatial constraints in VR. RDW addresses this by subtly manipulating users’ physical movements to allow for seamless navigation within constrained areas. The survey delves into gain perception mechanisms, detailing how slight discrepancies between virtual and real-world movements can be utilized without user awareness, thus extending the effective navigable space. Various RDW control algorithms for gain-based RDW are analyzed, highlighting their implementation and effectiveness in maintaining immersion and minimizing perceptual disturbances. Furthermore, novel methods extending beyond traditional gain-based techniques are discussed, showcasing innovative approaches that further refine VR interactions. The practical implications of RDW in enhancing safety and reducing physical collisions in VR environments are underscored, alongside its potential to improve user experience by aligning virtual exploration more closely with natural human behavior patterns. Through a thorough review of existing literature and recent advancements, this survey provides a systematic understanding for researchers, developers, and industry professionals. It underscores the importance of RDW in the future of VR, emphasizing RDW's role in making VR more accessible and practical across various applications, from education and training to therapy and entertainment. The paper concludes with a forward-looking perspective on the continued evolution and potential of RDW in revolutionizing virtual reality experiences.
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