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在全向跑步机上的转向行走

Redirected Walking on Omnidirectional Treadmill.

作者信息

Wang Ziyao, Wang Yiye, Yan Shiqi, Zhu Zhongzheng, Zhang KanJian, Wei Haikun

出版信息

IEEE Trans Vis Comput Graph. 2024 Jul;30(7):3884-3901. doi: 10.1109/TVCG.2023.3244359. Epub 2024 Jun 27.

Abstract

Redirected walking (RDW) and omnidirectional treadmill (ODT) are two effective solutions to the natural locomotion interface in virtual reality. ODT fully compresses the physical space and can be used as the integration carrier of all kinds of devices. However, the user experience varies in different directions of ODT, and the premise of interaction between users and integrated devices is a good match between virtual and real objects. RDW technology uses visual cues to guide the user's location in physical space. Based on this principle, combining RDW technology with ODT to guide the user's walking direction through visual cues can effectively improve user experience on ODT and make full use of various devices integrated on ODT. This paper explores the novel prospects of combining RDW technology with ODT and formally puts forward the concept of O-RDW (ODT-based RDW). Two baseline algorithms, i.e., OS2MD (ODT-based steer to multi-direction), and OS2MT (ODT-based steer to multi-target), are proposed to combine the merits of both RDW and ODT. With the help of the simulation environment, this paper quantitatively analyzes the applicable scenarios of the two algorithms and the influence of several main factors on the performance. Based on the conclusions of the simulation experiments, the two O-RDW algorithms are successfully applied in the practical application case of multi-target haptic feedback. Combined with the user study, the practicability and effectiveness of O-RDW technology in practical use are further verified.

摘要

重定向行走(RDW)和全向跑步机(ODT)是虚拟现实中自然运动界面的两种有效解决方案。ODT充分压缩了物理空间,可作为各类设备的集成载体。然而,用户在ODT不同方向上的体验有所不同,且用户与集成设备之间交互的前提是虚拟与真实物体的良好匹配。RDW技术利用视觉线索来引导用户在物理空间中的位置。基于这一原理,将RDW技术与ODT相结合,通过视觉线索引导用户的行走方向,能够有效提升用户在ODT上的体验,并充分利用集成在ODT上的各种设备。本文探讨了将RDW技术与ODT相结合的新前景,并正式提出了基于ODT的RDW(O-RDW)概念。提出了两种基线算法,即基于ODT的转向多方向(OS2MD)和基于ODT的转向多目标(OS2MT),以结合RDW和ODT的优点。借助仿真环境,本文定量分析了这两种算法的适用场景以及几个主要因素对性能的影响。基于仿真实验的结论,将两种O-RDW算法成功应用于多目标触觉反馈的实际应用案例中。结合用户研究,进一步验证了O-RDW技术在实际应用中的实用性和有效性。

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