The School of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
The School of Life Science, Beijing Institute of Technology, Beijing 100081, China.
Sensors (Basel). 2023 Aug 6;23(15):6988. doi: 10.3390/s23156988.
Inputting text is a prevalent requirement among various virtual reality (VR) applications, including VR-based remote collaboration. In order to eliminate the need for complex rules and handheld devices for typing within virtual environments, researchers have proposed two mid-air input methods-the trace and tap methods. However, the specific impact of these input methods on performance in VR remains unknown. In this study, typing tasks were used to compare the performance, subjective report, and cognitive load of two mid-air input methods in VR. While the trace input method was more efficient and novel, it also entailed greater frustration and cognitive workload. Fortunately, the levels of frustration and cognitive load associated with the trace input method could be reduced to the same level as those of the tap input method via familiarity with VR. These findings could aid the design of virtual input methods, particularly for VR applications with varying text input demands.
输入文本是各种虚拟现实 (VR) 应用程序的常见要求,包括基于 VR 的远程协作。为了消除在虚拟环境中使用复杂规则和手持设备进行打字的需求,研究人员提出了两种隔空输入方法——轨迹输入和点击输入方法。然而,这些输入方法对 VR 中性能的具体影响尚不清楚。在这项研究中,使用打字任务来比较两种隔空输入方法在 VR 中的性能、主观报告和认知负荷。虽然轨迹输入方法更高效和新颖,但它也带来了更大的挫败感和认知负荷。幸运的是,通过熟悉 VR,可以将与轨迹输入方法相关的挫败感和认知负荷水平降低到与点击输入方法相同的水平。这些发现可以帮助设计虚拟输入方法,特别是对于具有不同文本输入需求的 VR 应用程序。