Diaz Krystina, Becker Mark W, Peltier Chad, Bolkhovsky Jeffrey B
Leidos Inc., Reston, VA, USA.
Naval Submarine Medical Research Laboratory (NSMRL), Groton, CT, USA.
Cogn Res Princ Implic. 2025 Aug 15;10(1):49. doi: 10.1186/s41235-025-00653-2.
Visual search performance is a critical factor in many high-stakes duties, warranting the need for strategies to enhance target detection accuracy. Research using rapid serial visual presentation (RSVP) of stimuli shows that observers can detect categorically defined, pre-specified targets even when the presentation rate is rapid, suggesting RSVP as a viable strategy. To investigate how and how well RSVP can improve target detection in complex search arrays, five experiments were conducted to compare search performance between Full-Image search conditions and various RSVP-based conditions. Stimulus presentation time/total search time was the same across conditions. Experiment 1 demonstrated the utility of RSVP to enhance target identification in simple arrays (i.e., Landolt Cs). Experiment 2 involved more complex scenes and target-present/-absent judgments. Results showed that RSVP increased target detections due to both a liberal change in criterion and an increase in sensitivity. Experiment 3 provides some evidence against the reduction in peripheral clutter as the primary contributor to RSVP performance increases. Experiments 4 and 5 prompted and limited eye movements, respectively, to distinguish the role of eye movements in RSVP-based search. These two latter experiments imply that lower target detection performance under time constraints in whole image search conditions is attributable to time-wasting, irrelevant and inefficient eye movements. These experiments suggest that RSVP advantage occurs because the method maximizes time for inspecting and processing each search image/segment. Real-world visual search tasks may benefit from segmenting the search display and presenting images in an RSVP stream.
视觉搜索性能是许多高风险任务中的关键因素,因此需要采取策略来提高目标检测的准确性。使用刺激的快速序列视觉呈现(RSVP)进行的研究表明,即使呈现速度很快,观察者也能检测出明确界定的、预先指定的目标,这表明RSVP是一种可行的策略。为了研究RSVP如何以及在多大程度上能够提高复杂搜索阵列中的目标检测能力,进行了五项实验,比较全图像搜索条件和各种基于RSVP的条件下的搜索性能。各条件下的刺激呈现时间/总搜索时间相同。实验1证明了RSVP在增强简单阵列(即兰多尔特C形)中目标识别方面的效用。实验2涉及更复杂的场景以及目标存在/不存在的判断。结果表明,RSVP提高了目标检测率,这是由于标准的宽松变化和灵敏度的提高。实验3提供了一些证据,反驳了周边杂波减少是RSVP性能提高的主要原因这一观点。实验4和实验5分别促使并限制了眼动,以区分眼动在基于RSVP的搜索中的作用。后两个实验表明,在全图像搜索条件下,时间限制下较低的目标检测性能归因于浪费时间、无关且低效的眼动。这些实验表明,RSVP的优势在于该方法最大限度地增加了检查和处理每个搜索图像/片段的时间。现实世界中的视觉搜索任务可能会受益于分割搜索显示并以RSVP流的形式呈现图像。