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Visual control strategies for the interception of moving targets on foot

机译:步行拦截移动目标的视觉控制策略

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Navigating through complex, dynamic environments requires people to select actions and guide locomotion relative to moving objects. When people intercept moving targets on foot, their behavior is consistent with a constant bearing angle (CBA) strategy, according to which interception is achieved by moving so as to keep the target at a fixed bearing angle. However, the CBA model does not explain how direction and speed of locomotion are coordinated during interception, nor does it account for the ability to perceive whether interception is even possible given the person's movement capabilities. In this study, we introduce an alternative to the CBA model that offers a starting point for addressing these limitations and accounts for findings from previous studies that were difficult to reconcile with the CBA model. The new model is based on eyeheight-scaled information that specifies the locomotor speed (in units of eyeheights per second) needed to intercept the target as a function of the direction in which one intends to move. In Experiment 1, we tested the predictions of the new model by manipulating eyeheight, which should affect walking trajectories if subjects rely on eyeheight-scaled information but not if they use a CBA strategy. Subjects walked in a virtual environment viewed through a head-mounted display to intercept targets that appeared on the left or right side and moved inward. Target speed and trajectory varied across trials. Analyses focused on walking speed and direction in the control and reduced-EH conditions. In Experiment 2, we tested another prediction of the new modela??that the perceived walking speed needed to intercept the target should be affected by manipulations of visual self-motion information. This prediction was tested by manipulating subjects' movement relative to the stationary background in the virtual environment without affecting their movement relative to the moving target.
机译:在复杂,动态的环境中导航需要人们选择动作并引导相对于移动对象的运动。当人们徒步拦截移动的目标时,其行为与恒定的方位角(CBA)策略一致,根据该策略,通过移动来实现拦截,从而将目标保持在固定的方位角。但是,CBA模型没有解释在拦截过程中如何协调运动的方向和速度,也没有考虑到在给定人员运动能力的情况下感知拦截是否可能的能力。在这项研究中,我们介绍了CBA模型的替代方法,它为解决这些局限性提供了一个起点,并解释了以前研究难以与CBA模型协调的发现。新模型基于视线高度缩放信息,该信息指定了根据目标移动方向来拦截目标所需的运动速度(以眼高/秒为单位)。在实验1中,我们通过操纵眼高测试了新模型的预测,如果受试者依赖于眼高缩放的信息,这会影响步行轨迹,但如果他们使用CBA策略,则不会影响步行轨迹。受试者在通过头戴式显示器观看的虚拟环境中行走,以拦截出现在左侧或右侧并向内移动的目标。不同试验的目标速度和轨迹各不相同。在控制和降低EH条件下,分析重点放在步行速度和方向上。在实验2中,我们测试了新模型的另一种预测-拦截目标所需的感知步行速度应受到视觉自我运动信息的操纵的影响。通过在虚拟环境中操纵对象相对于固定背景的移动而不影响对象相对于移动目标的移动来测试此预测。

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