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Analysis of Human Skill Development in Manual Ramp-Tracking Tasks

机译：手动坡道跟踪任务中的人类技能发展分析

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Human modelling approaches are typically limited to feedback-only, compensatory tracking tasks. Advances in system identification techniques allow us to consider more realistic tasks that involve feedforward and even precognitive control. In this paper we study the human development of a feedforward control response while learning to accurately follow a ramp-shaped target signal in the presence of a disturbance acting on the controlled element. An experiment was conducted in which two groups of eight subjects each tracked ramps of different steepnesses in a random or ordered fashion. In addition, ordered runs were followed by a ‘surprise’ run with a random ramp steepness. Results show that operators learn rapidly, continue to learn during the entire experiment, and can adapt very quickly to surprise situations. Experiments involving learning operators are challenging, as it is difficult to balance-out all experimental conditions and control for inevitable differences between (groups of) subjects.
机译：人体建模方法通常仅限于仅反馈的补偿性跟踪任务。系统识别技术的进步使我们能够考虑涉及前馈甚至预知控制的更现实的任务。在本文中，我们研究了前馈控制响应的人类发展，同时学习了在受到作用于受控元件的干扰的情况下准确跟踪斜坡形目标信号的过程。进行了一个实验，其中两个八人一组，每个人以随机或有序方式跟踪不同陡度的斜坡。此外，在有序运行之后是带有随机斜坡陡度的“惊奇”运行。结果表明，操作员学习迅速，可以在整个实验过程中继续学习，并且可以很快适应突发情况。涉及学习操作者的实验具有挑战性，因为很难平衡所有实验条件并控制（一组）受试者之间不可避免的差异。

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