Research into how virtual reality (VR) can be a beneficial technology for new and emerging large, complex data visualisations for data scientists is ongoing. In this paper, we evaluate three-dimensional VR navigation technique for data visualisations and test their effectiveness with a large graph visualisation. We evaluate two prominent navigation techniques employed in VR (Teleportation and One-Handed Flying) against two less common methods (Two-Handed Flying and Worlds-In-Miniature) and evaluate their performance and effectiveness through a series of tasks. We found Steering Patterns (One-Handed Flying and Two-Handed Flying) to be faster and preferred by participants for completing searching tasks in comparison to Teleportation. Worlds-In-Miniature was the least physically demanding of the navigations, and was preferred by participants for tasks that required an overview of the graph such as triangle counting.

关于虚拟现实（VR）如何成为有益的技术的研究正在进行中，该技术正在为数据科学家提供新的，大型的复杂数据可视化。在本文中，我们评估了用于数据可视化的三维VR导航技术，并通过大型图形可视化测试了其有效性。我们针对两种较不常用的方法（双手飞行和微型世界）评估了VR中使用的两种出色的导航技术（“传送”和“单手飞行”），并通过一系列任务评估了它们的性能和有效性。我们发现转向模式（单手飞行和两手飞行）相对于瞬移来说是更快的，并且是参与者首选的用于完成搜索任务的模式。微型世界是对导航的最低要求，