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曲线轨迹目标运动追踪中转向动作的时机。

Timing of steering actions in locomotor interception of targets following curving trajectories.

机构信息

Aix Marseille Univ, CNRS, Inst Sci Mouvement, Marseille, France.

University Medical Center Groningen, Department of Human Movement Sciences, Groningen, The Netherlands.

出版信息

J Vis. 2023 Mar 1;23(3):11. doi: 10.1167/jov.23.3.11.

Abstract

Recent work on the visual guidance of locomotor interception of nonuniformly moving targets argued for an early reliance on first-order (velocity-based) changes in the target's bearing angle that was complemented approximately 1 second later with reliance on second-order (acceleration-based) changes. Here we provide further support for this hypothesis in a virtual driving task, in which 19 participants steered a vehicle to intercept targets moving along receding circular trajectories. Adopting a set of carefully designed target trajectories, we tested discriminating predictions with respect to the timing and direction of the first steering action. Analyses of temporal and directional characteristics of first steering events revealed a pattern of results that was fully compatible with our predictions. Moreover, application of the recently developed QuID method, focusing on the temporal co-evolution of steering behavior and the potential information sources driving it, confirmed the operative progression from early reliance on first-order changes to subsequent (after approximately 1 second) reliance on a combination of first- and second-order changes in the target's bearing angle over the course of action at the individual-trial level. The finding of an evolution over time toward higher-order informational variables, potentially captured by a fractional-order time derivative, may have consequences for other locomotor interception tasks such as running to catch a fly ball.

摘要

最近关于非匀速运动目标的视觉引导追踪的研究工作表明,早期需要依赖于目标方位角的一阶(基于速度)变化,大约 1 秒后,再依赖于二阶(基于加速度)变化。在这里,我们在一个虚拟驾驶任务中为这个假设提供了进一步的支持,在这个任务中,19 名参与者驾驶车辆追踪沿着退离圆形轨迹运动的目标。通过采用一组精心设计的目标轨迹,我们根据第一次转向动作的时间和方向来测试区分预测。对第一次转向事件的时间和方向特征的分析结果与我们的预测完全吻合。此外,最近开发的 QuID 方法的应用,重点关注转向行为和潜在的信息源的时间协同进化,证实了从早期依赖于一阶变化到随后(大约 1 秒后)依赖于目标方位角的一阶和二阶变化的组合的操作过程,这是在个体试验水平上的行动过程中。随着时间的推移,向更高阶信息变量的演变,可能被分数阶时间导数捕捉到,这可能对其他运动追踪任务(如跑着去接住一个飞球)产生影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c08/10050912/a0ecc246a425/jovi-23-3-11-f001.jpg

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