Faculté des Sciences du Sport, Institut des Sciences du Mouvement, Université de Méditerranée, 163 Avenue de Luminy, 13009 Marseille, France.
Exp Brain Res. 2010 Apr;202(2):397-411. doi: 10.1007/s00221-009-2147-0. Epub 2010 Jan 8.
This study concerns the process by which agents select control laws. Participants adjusted their walking speed in a virtual environment in order to intercept approaching targets. Successful interception can be achieved with a constant bearing angle (CBA) strategy that relies on prospective information, or with a modified required velocity (MRV) strategy, which also includes predictive information. We manipulated the curvature of the target paths and the display condition of these paths. The curvature manipulation had large effects on the walking kinematics when the target paths were not displayed (informationally poor display). In contrast, the walking kinematics were less affected by the curvature manipulation when the target paths were displayed (informationally rich display). This indicates that participants used an MRV strategy in the informationally rich display and a CBA strategy in the informationally poor display. Quantitative fits of the respective models confirm this information-driven switch between the use of a strategy that relies on prospective information and a strategy that includes predictive information. We conclude that agents are able of taking advantage of available information by selecting a suitable control law.
本研究关注的是主体选择控制律的过程。参与者在虚拟环境中调整行走速度，以拦截接近的目标。成功的拦截可以通过依赖前瞻性信息的恒定方位角（CBA）策略或依赖预测性信息的修正目标速度（MRV）策略来实现。我们操纵了目标路径的曲率和这些路径的显示条件。当目标路径未显示时（信息匮乏显示），曲率操纵对行走运动学有很大影响。相比之下，当目标路径显示时（信息丰富显示），曲率操纵对行走运动学的影响较小。这表明参与者在信息丰富的显示中使用了 MRV 策略，而在信息匮乏的显示中使用了 CBA 策略。对相应模型的定量拟合证实了这种在依赖前瞻性信息的策略和包含预测性信息的策略之间的信息驱动切换。我们的结论是，主体能够通过选择合适的控制律来利用可用信息。
