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Effects of Target Trajectory Bandwidth on Manual Control Behavior in Pursuit and Preview Tracking

机译:目标轨迹带宽对追踪和预览跟踪手动控制行为的影响

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摘要

The 1960s crossover model is widely applied to quantitatively predict a human controller's (HC's) manual control behavior. Unfortunately, the theory captures only compensatory tracking behavior and, as such, a limited range of real-world manual control tasks. This article finalizes recent advances in manual control theory toward more general pursuit and preview tracking tasks. It is quantified how HCs adapt their control behavior to a final crucial task variable: the target trajectory bandwidth. Beneficial adaptation strategies are first explored offline with computer simulations, using an extended crossover model theory for pursuit and preview tracking. The predictions are then verified with data from a human-in-the-loop experiment, in which participants tracked a target trajectory with bandwidths of 1.5, 2.5, and 4 rad/s, using compensatory, as well as pursuit and preview displays. In stark contrast to the crossover regression found in compensatory tasks, humans attenuate only their feedforward response when tracking higher-bandwidth trajectories in pursuit tasks, while their behavior is generally invariant in preview tasks. A full quantitative theory is now available to predict HC manual control behavior in tracking tasks, which includes HC adaptation to all key task variables.
机译:20世纪60年代的交叉模型广泛应用于定量预测人类控制器(HC)手动控制行为。不幸的是,该理论只捕获了补偿性跟踪行为,因此,有限的现实世界手动控制任务。本文最终确定了手动控制理论的最新进展,更普遍追求和预览跟踪任务。量化HCS如何将其控制行为调整为最终关键任务变量:目标轨迹带宽。利用电脑模拟首先使用追求和预览跟踪的扩展交叉模型理论,首先探讨益处适应策略。然后使用来自LOOP实验的数据验证预测,其中参与者跟踪了使用补偿性的带宽的带宽的目标轨迹,以及追求和预览显示。与在补偿任务中发现的交叉回归对比,人类在跟踪追求任务中的高带宽轨迹时,人类只能衰减它们的前馈响应,而他们的行为通常是不变的预览任务。现在可以使用完全的定量理论来预测跟踪任务中的HC手动控制行为,其包括对所有关键任务变量的HC适应。

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