False feedback increases detection of low-prevalence targets in visual search
False feedback increases detection of low-prevalence targets in visual search
复制标题
DOI：
10.3758/s13414-012-0354-4
复制
发表时间：
2012-11-01
影响因子：
1.7
通讯作者：
Dolgov, Igor
中科院分区：
文献类型：
--
作者：
Schwark, Jeremy;Sandry, Joshua;Dolgov, Igor
许多关键的搜索任务，如机场和医疗筛查，涉及搜索很少出现的目标。这些低流行率的目标与极高的错过率相关Wolfe，Horowitz，& Kenner（Nature，435，439-440，2005）。膨胀的未命中率是由标准偏移引起的，可能是由于观察者试图将未命中和假警报的数量等同起来。这种均衡策略导致在50%目标流行率下的中性标准，但导致低流行率目标的较高比例的未命中。在本研究中，我们通过明确的错误反馈来操纵参与者感知的失误次数。正如预测的那样，由于标准的改变，假反馈条件下的参与者犯下了更多的错误警报。重要的是，在这种情况下的参与者在检测目标方面也更成功。这些结果突出了在目标搜索任务中感知流行的重要性。
Many critical search tasks, such as airport and medical screening, involve searching for targets that are rarely present. These low-prevalence targets are associated with extremely high miss rates Wolfe, Horowitz, & Kenner (Nature, 435, 439-440, 2005). The inflated miss rates are caused by a criterion shift, likely due to observers attempting to equate the numbers of misses and false alarms. This equalizing strategy results in a neutral criterion at 50 % target prevalence, but leads to a higher proportion of misses for low-prevalence targets. In the present study, we manipulated participants' perceived number of misses through explicit false feedback. As predicted, the participants in the false-feedback condition committed a higher number of false alarms due to a shifted criterion. Importantly, the participants in this condition were also more successful in detecting targets. These results highlight the importance of perceived prevalence in target search tasks.