Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada.
School of Engineering, University of Guelph.
Psychol Sci. 2022 May;33(5):716-724. doi: 10.1177/09567976211048485. Epub 2022 Apr 6.
The low-prevalence effect in visual search occurs when rare targets are missed at a disproportionately high rate. This effect has enormous significance for health and public safety and has proven resistant to intervention. In three experiments (s = 41, 40, and 44 adults), we documented a dramatic reduction of the effect using a simple cognitive strategy requiring no training. Instead of asking participants to search for the presence or absence of a target, as is typically done in visual search tasks, we asked participants to engage in "similarity search"-to identify the display element most similar to a target on every trial, regardless of whether a target was present. When participants received normal search instructions, we observed strong low-prevalence effects. When participants used similarity search, we failed to detect the low-prevalence effect under identical visual conditions across three experiments.
当罕见的目标以不成比例的高频率被错过时,就会出现视觉搜索中的低频率效应。这种效应对健康和公共安全具有巨大的意义,并且已经被证明难以干预。在三项实验中(s = 41、40 和 44 名成年人),我们使用一种简单的认知策略记录了该效应的显著减少,该策略不需要任何培训。我们没有要求参与者像在视觉搜索任务中那样搜索目标的存在或不存在,而是要求参与者进行“相似性搜索”——在每次试验中识别与目标最相似的显示元素,无论目标是否存在。当参与者接受正常的搜索指令时,我们观察到强烈的低频率效应。当参与者使用相似性搜索时,我们在三个实验中相同的视觉条件下未能检测到低频率效应。