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Anchoring spatial predictions: Evidence for the critical role of anchor objects for visual search in scenes.

机译:锚定空间预测:锚对象在场景中进行视觉搜索的关键作用的证据。

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Real-world scenes follow certain rules known as scene grammar, which allow for extremely efficient visual search. In the current work, we seek to understand what role objects, specifically anchor objects, hold during a visual search in 3D rendered scenes. Anchors are normally, large and diagnostic of the scene they are found in. However, what distinguishes anchors from other objects is the specific spatial information which they carry regarding other objects. Our lab previously showed that participants have a precise notion of where objects belong relative to anchors but not relative to other objects (Boettcher & Vo, 2016). In a series of two eye-tracking experiments we tested what role anchor objects occupy during visual search. In Experiment 1, participants searched through scenes for an object which was cued in the beginning of each trial. Critically, in half of the scenes a target relevant anchor was swapped for an irrelevant, albeit semantically consistent, anchor. This lead to marginally faster reaction times and time to first fixation on the target. Additionally, subjects covered significantly less of the scene when the anchor was present compared to swapped. These marginal effects might underestimate the role of anchors owed to the sheer speed of the search, partly due to the guidance available from the physical features of the target. Therefore, in Experiment 2 participants were briefly shown a target-absent scene before the target cue. Search was then restricted to a gaze-contingent window. Participants were now significantly faster to respond, and the area of the scene which they covered was significantly smaller for trials with congruent compared to swapped anchors. Moreover, observers were marginally faster at fixating the target in the anchor present trials. Taken together, anchor objects seem to play a critical role in scene grammar, and specifically in executing it during visual search within scenes.
机译:现实世界中的场景遵循某些称为场景语法的规则,可以实现极为有效的视觉搜索。在当前工作中,我们试图了解在3D渲染场景的视觉搜索过程中将保留哪些角色对象,尤其是锚对象。锚通常是大型的,并且可以诊断出它们所在的场景。但是,将锚与其他对象区分开来的是它们所携带的有关其他对象的特定空间信息。我们的实验室先前表明,参与者对对象相对于锚点的位置有确切的了解,但相对于其他对象却不相关(Boettcher&Vo,2016)。在一系列的两个眼动追踪实验中,我们测试了锚对象在视觉搜索过程中所扮演的角色。在实验1中,参与者在场景中搜索在每个试验开始时提示的对象。至关重要的是,在一半的场景中,将目标相关锚替换为不相关(尽管在语义上一致)的锚。这导致反应时间和首次固定在目标上的时间略快。此外,与交换锚点相比,当锚出现时,对象覆盖的场景少得多。由于搜索速度之快,这些边际效应可能会低估锚点的作用,部分原因是可以从目标的物理特征中获得指导。因此,在实验2中,向参与者简要显示了目标提示之前没有目标的场景。然后将搜索限制在视线范围内。现在,参与者的响应速度显着加快,并且与交换后的锚点相比,对于全等的试验,参与者所覆盖的场景区域明显较小。而且,观察者在锚定当前试验中固定目标的速度略快。综上所述,锚对象似乎在场景语法中起着至关重要的作用,尤其是在场景内的视觉搜索过程中执行它时。

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