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Disentangling Different Aspects of Between-Item Similarity Unveils Evidence Against the Ensemble Model of Lineup Memory

机译:解开项目间相似性的不同方面揭示了反对阵容记忆集成模型的证据

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Abstract For modeling recognition decisions in a typical eyewitness identification lineup task with multiple simultaneously presented test stimuli (also known as simultaneous detection and identification), essentially two different models based on signal detection theory are currently under consideration. These two models mainly differ with respect to their assumptions regarding the interplay between the memory signals of different stimuli presented in the same lineup. The independent observations model (IOM), on the one hand, assumes that the memory signal of each simultaneously presented test stimulus is separately assessed by the decision-maker, whereas the ensemble model (EM), on the other hand, assumes that each of these memory signals is first compared with and then assessed relative to its respective context (i.e., the memory signals of the other stimuli within the same lineup). Here, we discuss some reasons why comparing confidence ratings between trials with and without a dud (i.e., a lure with no systematic resemblance to the target) in an otherwise fair lineup—results of which have been interpreted as evidence in favor of the EM—is in fact inconclusive for differentiating between the EM and the IOM. However, the lack of diagnostic value hinges on the fact that in these experiments two aspects of between-item similarity (viz. old–new and within-lineup similarity) are perfectly confounded. Indeed, if separately manipulating old–new similarity, we demonstrate that EM and IOM make distinct predictions. Following this, we show that previously published data are inconsistent with the predictions made by the EM.
机译:在一个抽象建模识别决策典型的目击者辨认阵容的任务同时与多个测试刺激(也称为同步检测和识别),本质上是两个不同的模型目前基于信号检测理论在考虑。的区别在于其假设关于内存之间的相互作用不同的刺激呈现的信号同样的阵容。(IOM),一方面,假定内存每个同时提交测试的信号刺激是单独评估的决策者,而整体模型(EM),另一方面,假设每一个相比之下,然后记忆信号评估相对于其各自的上下文(例如,内存的其他刺激信号在相同的阵容)。原因比较评级之间的信心试验和没有无用的(例如,一个诱惑没有目标系统的相似之处)否则公平lineup-results已解释为证据支持的质量事实不确定之间的区分新兴市场,国际移民组织。在这些值取决于事实实验between-item的两个方面相似性(viz.新老和within-lineup相似度)非常羞愧。分别操纵新老相似,我们表明新兴市场,国际移民组织做出截然不同预测。此前公布的数据不一致所做的预测。

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