IEEE Trans Vis Comput Graph. 2019 May;25(5):2022-2031. doi: 10.1109/TVCG.2019.2898764. Epub 2019 Feb 20.
Head-mounted displays (HMDs) and large area position tracking systems can enable users to navigate virtual worlds through natural walking. Redirected walking (RDW) imperceptibly steers immersed users away from physical world obstacles allowing them to explore unbounded virtual worlds while walking in limited physical space. In cases of imminent collisions, resetting techniques can reorient them into open space. This work introduces categorically new RDW and resetting algorithms based on the use of artificial potential fields that "push" users away from obstacles and other users. Data from human subject experiments indicate that these methods reduce potential single-user resets by 66% and increase the average distance between resets by 86% compared to previous techniques. A live multi-user study demonstrates the viability of the algorithm with up to 3 concurrent users, and simulation results indicate that the algorithm scales efficiently up to at least 8 users and is effective with larger groups.
头戴式显示器 (HMD) 和大面积位置跟踪系统可以使用户通过自然行走来导航虚拟世界。重定向行走 (RDW) 可以将沉浸式用户不知不觉地引导到物理世界障碍物之外,从而使他们在有限的物理空间中行走时可以探索无限的虚拟世界。在即将发生碰撞的情况下,重置技术可以将他们重新定向到开阔空间。这项工作引入了基于人工势场的全新 RDW 和重置算法,这些算法“推动”用户远离障碍物和其他用户。人体实验数据表明,与先前的技术相比,这些方法将单个用户的潜在重置次数减少了 66%,并将重置之间的平均距离增加了 86%。一项实时多人研究表明,该算法最多可同时支持 3 个并发用户,模拟结果表明,该算法至少可以高效扩展到 8 个用户,并且对于更大的群组也是有效的。