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Improved Learning a Coincident Timing Task With a Predictable Resisting Force

机译:用可预测的抗力改进学习一致的时序任务

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摘要

The present study analyzes the learning in a coincident timing task with force perturbation. We aimed to verify whether a predictable load (constant spring) applied to hand movements could facilitate learning and, thus, performance improvement with respect to movements without any external load and an unpredictable load to perform a coincident timing task with a few number of repetitions (n = 28) under acquisition and transfer phases. The results showed that the group with a predictable load had a significant better performance with lower percentage of errors and smaller time variance in the acquisition and transfer phase. The groups with no load and unpredictable load had a similar performance in the transfer phase. It can be concluded that adding a predictable force to the coincident timing task results in performance improvement. Therefore, learning to reach a target at a correct time could be improved with the application of predictable external loads.
机译:本研究分析了强制扰动的一致正时任务中的学习。 我们旨在验证应用于手动运动的可预测负载(恒定弹簧)是否可以促进学习,从而对没有任何外部负载的运动和不可预测的负载来执行具有几个重复的重合时序任务的性能改善( n = 28)在收购和转移阶段下。 结果表明,具有可预测载荷的组具有显着更好的性能,误差百分比较低,而采集和转移阶段的时间差异较小。 没有负载和不可预测负载的组在转移阶段具有类似的性能。 可以得出结论,向重合时序任务添加可预测的力量会导致性能改进。 因此,通过应用可预测的外部负载,可以改善在正确时间达到目标的目标。

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