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什么是视觉对象?来自多目标跟踪中目标合并的证据。

What is a visual object? Evidence from target merging in multiple object tracking.

作者信息

Scholl B J, Pylyshyn Z W, Feldman J

机构信息

Harvard University, Cambridge, MA, USA.

出版信息

Cognition. 2001 Jun;80(1-2):159-77. doi: 10.1016/s0010-0277(00)00157-8.

Abstract

The notion that visual attention can operate over visual objects in addition to spatial locations has recently received much empirical support, but there has been relatively little empirical consideration of what can count as an 'object' in the first place. We have investigated this question in the context of the multiple object tracking paradigm, in which subjects must track a number of independently and unpredictably moving identical items in a field of identical distractors. What types of feature clusters can be tracked in this manner? In other words, what counts as an 'object' in this task? We investigated this question with a technique we call target merging: we alter tracking displays so that distinct target and distractor locations appear perceptually to be parts of the same object by merging pairs of items (one target with one distractor) in various ways - for example, by connecting item locations with a simple line segment, by drawing the convex hull of the two items, and so forth. The data show that target merging makes the tracking task far more difficult to varying degrees depending on exactly how the items are merged. The effect is perceptually salient, involving in some conditions a total destruction of subjects' capacity to track multiple items. These studies provide strong evidence for the object-based nature of tracking, confirming that in some contexts attention must be allocated to objects rather than arbitrary collections of features. In addition, the results begin to reveal the types of spatially organized scene components that can be independently attended as a function of properties such as connectedness, part structure, and other types of perceptual grouping.

摘要

视觉注意除了可以作用于空间位置外,还能作用于视觉对象这一观点最近得到了大量实证支持,但对于首先什么可以被视为一个“对象”,实证研究相对较少。我们在多对象跟踪范式的背景下研究了这个问题,在该范式中,受试者必须在一组相同的干扰项中跟踪多个独立且不可预测移动的相同项目。以这种方式可以跟踪哪些类型的特征集群?换句话说,在这个任务中什么被视为一个“对象”?我们用一种称为目标合并的技术研究了这个问题:我们改变跟踪显示,通过以各种方式合并成对的项目(一个目标与一个干扰项),使不同的目标和干扰项位置在感知上看起来是同一对象的一部分——例如,用一条简单的线段连接项目位置,绘制两个项目的凸包等等。数据表明,目标合并会使跟踪任务在不同程度上变得更加困难,具体取决于项目的合并方式。这种效果在感知上很显著,在某些情况下会导致受试者跟踪多个项目的能力完全丧失。这些研究为跟踪基于对象的性质提供了有力证据,证实了在某些情况下,注意力必须分配给对象而不是任意的特征集合。此外,研究结果开始揭示出一些空间组织的场景成分类型,这些成分可以根据诸如连通性、部分结构和其他类型的感知分组等属性独立地被关注。

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