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Identifying the Bad Guy in a Lineup Using Confidence Judgments Under Deadline Pressure

机译:在截止日期压力下使用信心判断来确定阵容中的坏人

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摘要

Eyewitness-identification tests often culminate in witnesses not picking the culprit or identifying innocent suspects. We tested a radical alternative to the traditional lineup procedure used in such tests. Rather than making a positive identification, witnesses made confidence judgments under a short deadline about whether each lineup member was the culprit. We compared this deadline procedure with the traditional sequential-lineup procedure in three experiments with retention intervals ranging from 5 min to 1 week. A classification algorithm that identified confidence criteria that optimally discriminated accurate from inaccurate decisions revealed that decision accuracy was 24% to 66% higher under the deadline procedure than under the traditional procedure. Confidence profiles across lineup stimuli were more informative than were identification decisions about the likelihood that an individual witness recognized the culprit or correctly recognized that the culprit was not present. Large differences between the maximum and the next-highest confidence value signaled very high accuracy. Future support for this procedure across varied conditions would highlight a viable alternative to the problematic lineup procedures that have traditionally been used by law enforcement.
机译:目击者识别测试通常会导致证人不选择罪魁祸首或识别无辜嫌疑人。我们测试了这种测试中使用的传统阵容程序的替代方法。目击者没有做出肯定的识别,而是在较短的期限内对每个阵容成员是否为罪魁祸首做出了信心判断。我们在3个实验中比较了这个最后期限程序与传统的顺序排队程序,其保留间隔为5分钟至1周。一种分类算法确定了可以最佳地区分准确度和不准确决策的置信度标准,结果表明,与传统程序相比,截止日期程序的决策准确度高出24%至66%。相比于关于单个证人识别出罪魁祸首或正确识别出该罪魁祸首的可能性的鉴定决定,整个阵容刺激下的可信度分布图更具参考价值。最大和下一个置信度值之间的较大差异表示非常高的准确性。将来在各种情况下对此程序的支持将突出显示一种可行的替代方法,以替代执法人员传统上使用的有问题的节目列表程序。

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