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越多越好:多个目标的相对流行率会影响搜索准确性。

More is better: Relative prevalence of multiple targets affects search accuracy.

作者信息

Cheng Phillip Xin, Rich Anina N

机构信息

Perception in Action Research Centre (PARC), Department of Cognitive Science, Faculty of Human Sciences, Macquarie University, Sydney, NSW, Australia.

ARC Centre of Excellence in Cognition and its Disorders, Macquarie University, Sydney, NSW, Australia.

出版信息

J Vis. 2018 Apr 1;18(4):2. doi: 10.1167/18.4.2.

Abstract

In real-world searches such as airport baggage screening and radiological examinations, miss errors can be life threatening. Misses increase for additional targets after detecting an initial target, termed "subsequent search misses" (SSMs), and also when targets are more often absent than present, termed the low-prevalence effect. Real-world search tasks often contain more than one target, but the prevalence of these multitarget occasions varies. For example, a cancerous tumor sometimes coexists with a benign tumor and sometimes exists alone. This study aims to investigate how the relative prevalence of multiple targets affects search accuracy. Naive observers searched for all Ts (zero, one, or two) among Ls. In Experiment 1, SSMs occurred in small but not large set sizes, which may be explained by classic capacity limit effects such as the attentional blink and repetition blindness. Experiment 2 showed an interaction between SSMs and the relative prevalence of dual-target trials: Low prevalence of dual-target trials increased SSMs relative to high prevalence dual-target trials. The prevalence of dual-target trials did not affect accuracy on single-target trials. These results may provide a novel avenue for reducing misses by increasing the prevalence of instances with multiple targets. Future efforts should take into account the relative prevalence of multiple targets to effectively reduce life-threatening miss errors.

摘要

在诸如机场行李安检和放射检查等现实世界的搜索任务中,漏检错误可能会危及生命。在检测到初始目标后,对于额外目标的漏检会增加,这被称为“后续搜索漏检”(SSMs),并且当目标出现的频率低于不出现的频率时,即出现低患病率效应时,漏检也会增加。现实世界的搜索任务通常包含不止一个目标,但这些多目标情况的患病率各不相同。例如,癌性肿瘤有时与良性肿瘤共存,有时单独存在。本研究旨在调查多个目标的相对患病率如何影响搜索准确性。未受过训练的观察者在L中搜索所有的T(零个、一个或两个)。在实验1中,SSMs出现在小集合规模而非大集合规模中,这可能由诸如注意瞬脱和重复盲视等经典容量限制效应来解释。实验2显示了SSMs与双目标试验的相对患病率之间的相互作用:相对于高患病率双目标试验,双目标试验的低患病率增加了SSMs。双目标试验的患病率并未影响单目标试验的准确性。这些结果可能为通过增加多目标情况的患病率来减少漏检提供一条新途径。未来的研究应考虑多个目标的相对患病率,以有效减少危及生命的漏检错误。

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