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Representation of the human operator as a sampled-data system

机译:代表操作员作为采样数据系统

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摘要

An experimental and theoretical investigation is described which led to the formulation of a sampled-data model that accurately simulates the characteristics of the human operator in a compensatory tracking task. The term ?compensatory? applies to a restricted situation in which the operator could directly sense only the difference between his actual output and that defined by a reference input. The task actually studied was further restricted to visual sensing of error and manual output by horizontal movement of a vertical control lever. Error was displayed to the operator as a proportional horizontal displacement of a vertical line on a c.r.t., and his task was to keep this line as close as possible to a central zero-reference point; i.e. to track the input with the smallest possible error. Study of the effects of interposing a sample/hold operation prior to the error display indicated that the operator acted upon samples of position and velocity error taken at intervals of approximately 0.15s. The nature of the operators' responses to step and ramp inputs was in accord with this hypothesis and led to the initial formulation of a sampled-data model. Comparison of the responses of operators with those of the model in a continuous tracking task revealed some deficiencies and the model was elaborated by incorporating feedbacks to simulate more sophisticated prediction. It then proved capable of very accurate simulation, so that it was possible to study the operators' open-loop tracking behaviour by using a synthetic error signal derived from the model. The results confirmed that the basic structure of the model was correct. Some discrepancies were also apparent: these were mainly explained by the minimisation of complexity consistent with reasonably accurate simulation. It was concluded that, in the task studied, the behaviour of the human operator could be characterised by a random sampling of both position and velocity, followed by a computation of required futur-ne hand movement (according to some optimal strategy) during the succeeding sampling interval and its subsequent execution over the next sampling interval. Each sampling action seems to take from 20 to 45ms and is followed by an interval of 80?220ms before a subsequent sample can be taken.
机译:描述了一种实验和理论研究,导致形成了采样数据模型,该模型可精确模拟补偿性跟踪任务中操作员的特征。术语“补偿性”适用于受限情况,在这种情况下,操作员只能直接感知其实际输出与参考输入所定义的输出之间的差异。实际研究的任务进一步限于通过垂直控制杆的水平移动来视觉识别错误和手动输出。向操作员显示的错误是c.r.t.上垂直线的比例水平位移,他的任务是使该线尽可能靠近中心零参考点。即以尽可能小的误差跟踪输入。对在错误显示之前进行采样/保持操作的影响的研究表明,操作员对以大约0.15s的间隔获取的位置和速度误差采样采取了行动。操作员对阶跃和斜坡输入的响应的性质与该假设一致,并导致了采样数据模型的初步形成。在连续跟踪任务中,将操作员的响应与模型的响应进行比较,发现了一些缺陷,并且通过结合反馈来模拟更复杂的预测,从而对该模型进行了详细说明。然后证明了它可以进行非常精确的仿真,因此可以使用从模型得出的综合误差信号来研究操作员的开环跟踪行为。结果证实该模型的基本结构是正确的。一些差异也很明显:这些差异主要是通过与合理准确的模拟相一致的最小化复杂性来解释的。结论是,在研究的任务中,可以通过对位置和速度进行随机采样来表征操作员的行为,然后在后续操作中计算所需的未来手部运动(根据某些最佳策略)采样间隔及其在下一个采样间隔内的后续执行。每个采样动作似乎都需要20到45毫秒,然后间隔80-220毫秒,之后才能进行后续采样。

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