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Additive Effects of Prior Knowledge and Predictive Visual Information in Improving Continuous Tracking Performance

机译:先前知识和预测视觉信息提高连续跟踪性能的附加效应

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摘要

Visual information and prior knowledge represent two different sources of predictability for tasks which each have been reported to have a beneficial effect on dual-task performance. What if the two were combined? Adding multiple sources of predictability might, on the one hand, lead to additive, beneficial effects on dual-tasking. On the other hand, it is conceivable that multiple sources of predictability do not increase dual-task performance further, as they complicate performance due to having to process information from multiple sources. In this study, we combined two sources of predictability, predictive visual information and prior knowledge (implicit learning and explicit learning) in a dual-task setup. 22 participants performed a continuous tracking task together with an auditory reaction time task over three days. The middle segment of the tracking task was repeating to promote motor learning, but only half of the participants was informed about this. After the practice blocks (day 3), we provided participants with predictive visual information about the tracking path to test whether visual information would add to beneficial effects of prior knowledge (additive effects of predictability). Results show that both predictive visual information and prior knowledge improved dual-task performance, presented simultaneously or in absence of each other. These results show that processing of information relevant for enhancement of task performance is unhindered by dual-task demands.
机译:视觉信息和先验知识代表了两个不同的可预测性来源,这些可预测性是每个都据报道对双任务性能有益的影响。如果两者合并怎么办?一方面,增加了多种可预测性的来源,导致对双任务的添加,有益的影响。另一方面,可以想到,由于它们必须从多个源处理信息,因此可以进一步增加多个可预测性的源不提高双任务性能。在这项研究中,我们将两个可预测性,预测性视觉信息和先前知识(隐式学习和显式学习)组合在双任务设置中。 22参与者在三天内与听觉反应时间任务一起进行连续跟踪任务。追踪任务的中间部分重复推动汽车学习,但只有一半的参与者获悉这一点。在练习块(第3天)之后,我们为参与者提供了有关跟踪路径的预测视觉信息,以测试视觉信息是否会增加对先前知识的有益效果(可预测性的添加性效果)。结果表明,两个预测视觉信息和先验知识都改善了双重任务性能,同时或在彼此不存在中呈现。这些结果表明,对任务性能提高相关的信息的处理是通过双重任务需求阻碍的。

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