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Prevalence effects in newly trained airport checkpoint screeners: Trained observers miss rare targets, too

机译:新近训练的机场检查站检查员中的患病率:受过训练的观察员也错过了罕见的目标

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Abstract Abstract: Abstract?? Many socially important search tasks are characterized by low target prevalence, meaning that targets are rarely encountered. For example, transportation security officers (TSOs) at airport checkpoints encounter very few actual threats in carry-on bags. In laboratory-based visual search experiments, low prevalence reduces the probability of detecting targets (Wolfe, Horowitz, & Kenner, 2005). In the lab, this a??prevalence effecta?? is caused by changes in decision and response criteria (Wolfe & Van Wert, 2010) and can be mitigated by presenting a burst of high-prevalence search with feedback (Wolfe et al., 2007). The goal of this study was to see if these effects could be replicated in the field with TSOs. A total of 125 newly trained TSOs participated in one of two experiments as part of their final evaluation following training. They searched for threats in simulated bags across five blocks. The first three blocks were low prevalence (target prevalence a?¤a??.05) with no feedback; the fourth block was high prevalence (.50) with full feedback; and the final block was, again, low prevalence. We found that newly trained TSOs were better at detecting targets at high compared to low prevalence, replicating the prevalence effect. Furthermore, performance was better (and response criterion was more a??liberala??) in the low-prevalence block that took place after the high-prevalence block than in the initial three low-prevalence blocks, suggesting that a burst of high-prevalence trials may help alleviate the prevalence effect in the field.
机译:摘要摘要:摘要?许多对社会重要的搜索任务都以目标流行率低为特征,这意味着很少会遇到目标。例如,机场检查站的运输安全人员(TSO)随身携带的行李很少受到实际威胁。在基于实验室的视觉搜索实验中,较低的患病率会降低检测目标的可能性(Wolfe,Horowitz和Kenner,2005年)。在实验室中,这种“流行效应”是由决策和响应标准的变化所引起的(Wolfe&Van Wert,2010),可以通过呈现一系列带有反馈的高流行搜索来缓解(Wolfe et al。,2007)。这项研究的目的是看看这些效应是否可以在TSO的现场复制。总共125个新训练的TSO参加了两个实验之一,作为训练后最终评估的一部分。他们在五个区域的模拟袋中搜索威胁。前三个区块的患病率很低(目标患病率a?¤?????。05),没有反馈;第四个障碍是高患病率(.50),具有完全反馈;最后一个障碍是患病率低。我们发现,与低患病率相比,新近训练的TSO能够更好地检测高靶标,从而复制了患病率的效果。此外,在高流行度区块之后发生的低流行度区块的性能要好于最初的三个低流行度区块,并且响应标准更高。患病率试验可能有助于减轻现场的患病率。

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