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一种决策过程解释了在次优曝光和延迟条件下,强和弱面孔识别者在目击者信心-准确性关系上的差异。

A decision processes account of the differences in the eyewitness confidence-accuracy relationship between strong and weak face recognizers under suboptimal exposure and delay conditions.

机构信息

Department of Psychology.

McIntire School of Commerce.

出版信息

J Exp Psychol Learn Mem Cogn. 2021 Mar;47(3):402-421. doi: 10.1037/xlm0000922. Epub 2020 Oct 8.

Abstract

When pristine testing conditions are used, an eyewitness's high-confidence identification from a lineup can be a reliable predictor of their identification accuracy (Wixted & Wells, 2017). Further, Grabman, Dobolyi, Berelovich, and Dodson (2019) found that high-confidence identifications are more predictive of accuracy for individuals with stronger than weaker face recognition ability. We extend this research by investigating why strong face recognizers make more informative confidence judgments and fewer high-confidence errors through the framework of two different accounts: the optimality account (Deffenbacher, 1980) and the decision processes account (e.g., Kruger & Dunning, 1999). The optimality account holds that differences in the predictive value of confidence ratings made by strong versus weak face recognizers are a result of differences in the quality of their memory representations for faces, indicating that confidence-accuracy calibration would be equated between these two groups when overall accuracy is equated, whereas the decision processes account attributes differences in calibration to strong face recognizers' superior metacognitive skills, which allow them to better evaluate their performance in the domain of face recognition. Therefore, to distinguish between these accounts, we manipulated exposure and retention interval to create conditions that produced comparable levels of identification accuracy between stronger and weaker face recognizers, and then examined their confidence-accuracy calibration. The decision processes account was supported, as differences in calibration between stronger and weaker face recognizers persisted even when overall identification accuracy was equated. Stronger face recognizers are better able to regulate their use of the confidence scale points with changes in identification accuracy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

在原始测试条件下,目击者在列队辨认中的高度自信识别可以可靠地预测其识别准确性(Wixted 和 Wells,2017)。此外,Grabman、Dobolyi、Berelovich 和 Dodson(2019)发现,高度自信的识别对于人脸识别能力较强的个体比能力较弱的个体更能准确预测。我们通过两种不同的解释框架来研究为什么人脸识别能力较强的个体做出的信心判断更具信息量,且较少出现高度自信错误:最优性解释(Deffenbacher,1980)和决策过程解释(例如,Kruger 和 Dunning,1999)。最优性解释认为,强人脸识别者和弱人脸识别者做出的信心评分的预测价值差异是由于他们对人脸记忆表现的质量差异所致,这表明当整体准确性相同时,这两组人的信心准确性校准将是等同的,而决策过程解释则将校准的差异归因于强人脸识别者的优越元认知技能,这使他们能够更好地评估自己在人脸识别领域的表现。因此,为了区分这两种解释,我们操纵了曝光和保持间隔,以在人脸识别能力较强和较弱的个体之间产生可比较的识别准确性水平,然后检查了他们的信心准确性校准。决策过程解释得到了支持,因为即使在整体识别准确性相同时,强人脸识别者和弱人脸识别者之间的校准差异仍然存在。强人脸识别者能够更好地根据识别准确性的变化来调节对信心尺度的使用。(PsycInfo 数据库记录(c)2021 APA,保留所有权利)。

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