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在虚拟现实拦截任务中,对未来球位置的扫视揭示了基于记忆的预测。

Saccades to future ball location reveal memory-based prediction in a virtual-reality interception task.

作者信息

Diaz Gabriel, Cooper Joseph, Rothkopf Constantin, Hayhoe Mary

机构信息

Center for Perceptual Systems, University of Texas Austin, Austin, TX, USA.

出版信息

J Vis. 2013 Jan 16;13(1):20. doi: 10.1167/13.1.20.

Abstract

Despite general agreement that prediction is a central aspect of perception, there is relatively little evidence concerning the basis on which visual predictions are made. Although both saccadic and pursuit eye-movements reveal knowledge of the future position of a moving visual target, in many of these studies targets move along simple trajectories through a fronto-parallel plane. Here, using a naturalistic and racquet-based interception task in a virtual environment, we demonstrate that subjects make accurate predictions of visual target motion, even when targets follow trajectories determined by the complex dynamics of physical interactions and the head and body are unrestrained. Furthermore, we found that, following a change in ball elasticity, subjects were able to accurately adjust their prebounce predictions of the ball's post-bounce trajectory. This suggests that prediction is guided by experience-based models of how information in the visual image will change over time.

摘要

尽管人们普遍认为预测是感知的核心方面,但关于视觉预测的依据的证据相对较少。虽然扫视和追踪眼动都揭示了对移动视觉目标未来位置的了解,但在许多此类研究中,目标沿着通过额状平行平面的简单轨迹移动。在这里,我们在虚拟环境中使用基于球拍的自然拦截任务,证明即使目标遵循由物理相互作用的复杂动力学决定的轨迹,且头部和身体不受约束,受试者也能对视觉目标运动做出准确预测。此外,我们发现,在球的弹性发生变化后,受试者能够准确调整他们对球反弹后轨迹的反弹前预测。这表明预测是由基于经验的模型指导的,该模型描述了视觉图像中的信息将如何随时间变化。

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