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Anchoring visual search in scenes: Assessing the role of anchor objects on eye movements during visual search

机译:在场景中锚定视觉搜索:评估视觉搜索过程中锚对象在眼睛运动中的作用

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The arrangement of the contents of real-world scenes follows certain spatial rules that allow for extremely efficient visual exploration. What remains underexplored is the role different types of objects hold in a scene. In the current work, we seek to unveil an important building block of scenes—anchor objects. Anchors hold specific spatial predictions regarding the likely position of other objects in an environment. In a series of three eye tracking experiments we tested what role anchor objects occupy during visual search. In all of the experiments, participants searched through scenes for an object that 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, object. We found that relevant anchor objects can guide visual search leading to faster reaction times, less scene coverage, and less time between fixating the anchor and the target. The choice of anchor objects was confirmed through an independent large image database, which allowed us to identify key attributes of anchors. Anchor objects seem to play a unique role in the spatial layout of scenes and need to be considered for understanding the efficiency of visual search in realistic stimuli.
机译:真实场景内容的排列遵循某些空间规则,可以实现极为有效的视觉探索。尚待探讨的是不同类型的对象在场景中扮演的角色。在当前的工作中,我们试图揭示场景的重要组成部分-锚对象。锚点具有与环境中其他对象的可能位置有关的特定空间预测。在一系列的三个眼动跟踪实验中,我们测试了锚对象在视觉搜索过程中所扮演的角色。在所有实验中,参与者都在场景中搜索在每个实验开始时提示的对象。至关重要的是,在一半的场景中,将目标相关的锚替换为不相关的,尽管在语义上一致的对象。我们发现相关的锚对象可以引导视觉搜索,从而导致更快的反应时间,更少的场景覆盖以及更少的固定锚和目标之间的时间。锚对象的选择是通过一个独立的大型图像数据库进行确认的,该数据库使我们能够识别锚的关键属性。锚对象似乎在场景的空间布局中扮演着独特的角色,需要考虑锚对象以了解现实刺激中视觉搜索的效率。

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