Teleoperation in an environment with latency is difficult and highly stressful for human operators, resulting in high cognitive workload and decreased human performance. This work investigates if a simple predictive display can increase performance and lower subjective workload for the human operator when teleoperating a remotely operated vehicle (ROV). A predictive display based on image transformation was developed by applying positional and scale transformations to the video feed and tested. An experiment was designed, consisting of a simple navigational task (peg-in-hole game) with a ground ROV, in three distinct conditions: C1. Latency, C2. Latency with predictive display (PD) and C3. Baseline (no added latency). Findings from N = 57 participants show a statistically significant increase of 20% in human performance with the aid of the predictive display. Although differences in subjective workload was not statistically significant, both subjective performance and actual game performance did increase significantly by using the predictive display. In fact, the latter almost doubled for participants defining themselves as regular gamers. Lastly, A principle component analysis (PCA) was conducted investigating confounding factors with confirmatory results.

在具有延迟的环境中进行远程操作非常困难，而且对操作员来说压力很大，从而导致认知工作量大和人员绩效下降。这项工作调查了简单的预测显示是否可以在操作遥控车辆（ROV）时为操作员提高性能并降低主观工作量。通过将位置和比例转换应用于视频源，开发了基于图像转换的预测显示并进行了测试。设计了一个实验，该实验由一个简单的导航任务（挂孔游戏）和在三个不同条件下的地面ROV组成：C1。延迟，C2。具有预测显示（PD）和C3的延迟。基线（不增加延迟）。来自N = 57位参与者的调查结果显示，借助预测性展示，人类的表现在统计学上有显着提高20％。尽管主观工作量的差异在统计上并不显着，但是通过使用预测显示，主观表现和实际游戏表现均显着提高。实际上，后者将自己定义为常规游戏玩家的人数几乎翻了一番。最后，进行了主成分分析（PCA），以研究具有确定性结果的混杂因素。