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所有真实世界的物体都是平等的吗?在视觉工作记忆中估计搜索目标的“集合大小”。

Are all real-world objects created equal? Estimating the "set-size" of the search target in visual working memory.

机构信息

Department of Psychology, University of Central Florida, Orlando, FLorida, USA.

Department of Psychology, Stony Brook University, Stony Brook, New York, USA.

出版信息

Psychophysiology. 2022 Apr;59(4):e13998. doi: 10.1111/psyp.13998. Epub 2022 Jan 9.

Abstract

Are all real-world objects created equal? Visual search difficulty increases with the number of targets and as target-related visual working memory (VWM) load increases. Our goal was to investigate the load imposed by individual real-world objects held in VWM in the context of search. Measures of visual clutter attempt to quantify real-world set-size in the context of scenes. We applied one of these measures, the number of proto-objects, to individual real-world objects and used contralateral delay activity (CDA) to measure the resulting VWM load. The current study presented a real-world object as a target cue, followed by a delay where CDA was measured. This was followed by a four-object search array. We compared CDA and later search performance from target cues containing a high or low number of proto-objects. High proto-object target cues resulted in greater CDA, longer search RTs, target dwell times, and reduced search guidance, relative to low proto-object targets. These findings demonstrate that targets with more proto-objects result in a higher VWM load and reduced search performance. This shows that the number of proto-objects contained within individual objects produce set-size like effects in VWM and suggests proto-objects may be a viable unit of measure of real-world VWM load. Importantly, this demonstrates that not all real-world objects are created equal.

摘要

所有真实世界的物体都是平等的吗?随着目标数量的增加和目标相关视觉工作记忆 (VWM) 负载的增加,视觉搜索的难度也会增加。我们的目标是研究在搜索背景下 VWM 中单个真实世界物体所带来的负载。视觉杂乱度的度量试图量化场景中真实世界的集合大小。我们将这些度量中的一种,即原型对象的数量,应用于单个真实世界的物体,并使用对侧延迟活动 (CDA) 来测量由此产生的 VWM 负载。本研究将真实世界的物体作为目标线索呈现,然后在延迟期间测量 CDA。接着是一个包含四个物体的搜索数组。我们比较了包含高或低数量原型对象的目标线索的 CDA 和后期搜索性能。与低原型目标相比,高原型目标线索导致更大的 CDA、更长的搜索 RT、目标停留时间和减少的搜索指导。这些发现表明,具有更多原型对象的目标会导致更高的 VWM 负载和降低的搜索性能。这表明单个物体中包含的原型对象数量会在 VWM 中产生类似集合大小的效果,并表明原型对象可能是测量真实世界 VWM 负载的可行单位。重要的是,这表明并非所有真实世界的物体都是平等的。

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