六自由度虚拟现实中的手控延迟和瞄准精度

IF 2.3 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Advances in Human-Computer Interaction Pub Date : 2023-09-25 DOI:10.1155/2023/1563506
Viktor Kelkkanen, David Lindero, Markus Fiedler, Hans-Jürgen Zepernick
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引用次数: 0

摘要

所有虚拟现实(VR)系统都有一些固有的手动控制器延迟,即使在本地操作。在远程渲染的VR中,由于数据的远程传输,通常通过共享的低容量通道进行,可能会增加额外的延迟。增加的延迟会对人类VR操作员的性能产生负面影响,但损害的程度取决于给定的任务。这项工作量化了瞄准精度与手控延迟、虚拟目标速度和目标运动可预测性之间的关系。测试的环境涉及到一个在直线上移动时多次改变方向的目标。主要结论是,在给定测试环境下,首先,随着延迟和目标速度的增加,目标运动的可预测性变得更加重要。在延迟超过约130 ms和目标速度超过约3.5°/s时,通常观察到精度的显着差异。其次,如果无法预测目标运动,延迟在大约90 ms和大约3.5°/s时开始显著影响精度。如果可以的话,这个数字大约是130毫秒和12.7°/s。最后,当目标运动改变到一个新的和不可预测的方向时,反应时间平均为190-200毫秒。
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Hand-Controller Latency and Aiming Accuracy in 6-DOF VR
All virtual reality (VR) systems have some inherent hand-controller latency even when operated locally. In remotely rendered VR, additional latency may be added due to the remote transmission of data, commonly conducted through shared low-capacity channels. Increased latency will negatively affect the performance of the human VR operator, but the level of detriment depends on the given task. This work quantifies the relations between aiming accuracy and hand-controller latency, virtual target speed, and the predictability of the target motion. The tested context involves a target that changes direction multiple times while moving in straight lines. The main conclusions are, given the tested context, first, that the predictability of target motion becomes significantly more important as latency and target speed increase. A significant difference in accuracy is generally observed at latencies beyond approximately 130 ms and at target speeds beyond approximately 3.5°/s. Second, latency starts to significantly impact accuracy at roughly 90 ms and approximately 3.5°/s if the target motion cannot be predicted. If it can, the numbers are approximately 130 ms and 12.7°/s. Finally, reaction times are on average 190–200 ms when the target motion changes to a new and unpredictable direction.
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来源期刊
Advances in Human-Computer Interaction
Advances in Human-Computer Interaction COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
6.30
自引率
3.40%
发文量
22
审稿时长
36 weeks
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