Teleportation, a widely-used locomotion technique in Virtual Reality (VR), allows instantaneous movement within VR environments. Enhanced hand tracking in modern VR headsets has popularized hands-only teleportation methods, which eliminate the need for physical controllers. However, these techniques have not fully explored the potential of bi-manual input, where each hand plays a distinct role in teleportation: one controls the teleportation point and the other confirms selections. Additionally, the influence of users' posture, whether sitting or standing, on these techniques remains unexplored. Furthermore, previous teleportation evaluations lacked assessments based on established human motor models such as Fitts' Law. To address these gaps, we conducted a user study (N=20) to evaluate bi-manual pointing performance in VR teleportation tasks, considering both sitting and standing postures. We proposed a variation of the Fitts' Law model to accurately assess users' teleportation performance. We designed and evaluated various bi-manual teleportation techniques, comparing them to uni-manual and dwell-based techniques. Results showed that bi-manual techniques, particularly when the dominant hand is used for pointing and the non-dominant hand for selection, enable faster teleportation compared to other methods. Furthermore, bi-manual and dwell techniques proved significantly more accurate than uni-manual teleportation. Moreover, our proposed Fitts' Law variation more accurately predicted users' teleportation performance compared to existing models. Finally, we developed a set of guidelines for designers to enhance VR teleportation experiences and optimize user interactions.

翻译：传送是虚拟现实（VR）中广泛使用的移动技术，允许用户在VR环境中瞬间移动。现代VR头显增强的手部追踪功能推动了仅用手部进行传送方法的普及，这种方法无需物理控制器。然而，这些技术尚未充分探索双手输入（bi-manual input）的潜力，其中每只手在传送中扮演不同角色：一只手控制传送点，另一只手确认选择。此外，用户姿势（坐姿或站姿）对这些技术的影响仍未被研究。进一步，以往的传送评估缺乏基于已建立的人体运动模型（如菲茨定律）的评估。为填补这些空白，我们开展了一项用户研究（N=20），评估VR传送任务中的双手指向性能，同时考虑坐姿和站姿。我们提出了一种菲茨定律模型的变体，以准确评估用户的传送性能。我们设计并评估了多种双手传送技术，并与单手及基于停留的技术进行比较。结果表明，双手技术（尤其是当优势手用于指向、非优势手用于选择时）能实现比其他方法更快的传送。此外，双手和停留技术比单手传送显著更准确。而且，与现有模型相比，我们提出的菲茨定律变体能更准确地预测用户的传送性能。最后，我们为设计师制定了一套指南，以增强VR传送体验并优化用户交互。