Univ Paris-Sud, Laboratoire Contrôle Moteur et Perception, UPRES EA 4042, Orsay, F- 91405 Cédex.
J Exp Psychol Hum Percept Perform. 2010 Jun;36(3):729-50. doi: 10.1037/a0016462.
The simple task of bouncing a ball on a racket offers a model system for studying how human actors exploit the physics and information of the environment to control their behavior. Previous work shows that people take advantage of a passively stable solution for ball bouncing but can also use perceptual information to actively stabilize bouncing. In this article, we investigate (a) active and passive contributions to the control of bouncing, (b) the visual information in the ball's trajectory, and (c) how it modulates the parameters of racket oscillation. We used a virtual ball bouncing apparatus to manipulate the coefficient of restitution alpha and gravitational acceleration g during steady-state bouncing (Experiment 1) and sudden transitions (Experiment 2) to dissociate informational variables. The results support a form of mixed control, based on the half-period of the ball's trajectory, in which racket oscillation is actively regulated on every cycle in order to keep the system in or near the passively stable region. The mixed control mode may be a general strategy for integrating passive stability with active stabilization in perception-action systems.
简单的球拍击球任务为研究人类行为者如何利用环境的物理和信息来控制自身行为提供了一个模型系统。先前的研究表明,人们利用球的被动稳定解来击球,但也可以利用感知信息来主动稳定击球。在本文中,我们研究了(a)击球控制中的主动和被动贡献,(b)球轨迹中的视觉信息,以及(c)它如何调节球拍振动的参数。我们使用虚拟球击球装置在稳态击球期间(实验 1)和突然过渡期间(实验 2)操纵恢复系数 alpha 和重力加速度 g,以分离信息变量。结果支持一种基于球轨迹半周期的混合控制形式,其中为了使系统处于或接近被动稳定区域,球拍振动在每个周期都被主动调节。混合控制模式可能是整合感知-动作系统中被动稳定性和主动稳定性的一般策略。