Department of Psychology, University of British Columbia, 2136 West Mall, Vancouver, BC, V6T 1Z4, Canada.
Behav Res Methods. 2024 Dec;56(8):8396-8421. doi: 10.3758/s13428-024-02482-5. Epub 2024 Aug 8.
This tutorial provides instruction on how to use the eye tracking technology built into virtual reality (VR) headsets, emphasizing the analysis of head and eye movement data when an observer is situated in the center of an omnidirectional environment. We begin with a brief description of how VR eye movement research differs from previous forms of eye movement research, as well as identifying some outstanding gaps in the current literature. We then introduce the basic methodology used to collect VR eye movement data both in general and with regard to the specific data that we collected to illustrate different analytical approaches. We continue with an introduction of the foundational ideas regarding data analysis in VR, including frames of reference, how to map eye and head position, and event detection. In the next part, we introduce core head and eye data analyses focusing on determining where the head and eyes are directed. We then expand on what has been presented, introducing several novel spatial, spatio-temporal, and temporal head-eye data analysis techniques. We conclude with a reflection on what has been presented, and how the techniques introduced in this tutorial provide the scaffolding for extensions to more complex and dynamic VR environments.
本教程提供了如何使用虚拟现实 (VR) 头显中内置的眼动追踪技术的说明，重点介绍了当观察者处于全向环境中心时头部和眼睛运动数据的分析。我们首先简要描述了 VR 眼动研究与之前的眼动研究形式有何不同，并指出了当前文献中的一些突出差距。然后，我们介绍了收集 VR 眼动数据的基本方法，包括一般方法和我们为说明不同分析方法而收集的特定数据的方法。接下来，我们介绍了 VR 数据分析的基础思想，包括参考系、如何映射眼睛和头部位置以及事件检测。在下一部分中，我们介绍了核心的头部和眼睛数据分析，重点是确定头部和眼睛的指向。然后，我们扩展了前面介绍的内容，介绍了几种新颖的空间、时空和时间头部-眼睛数据分析技术。最后，我们对前面介绍的内容进行了反思，并讨论了本教程中介绍的技术如何为更复杂和动态的 VR 环境提供扩展的基础。
