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元认知敏感性和信心标准的精度检验。

The precision test of metacognitive sensitivity and confidence criteria.

机构信息

School of Psychology, The University of Queensland, Australia.

School of Psychology, The University of Queensland, Australia.

出版信息

Conscious Cogn. 2024 Aug;123:103728. doi: 10.1016/j.concog.2024.103728. Epub 2024 Jul 16.

DOI:10.1016/j.concog.2024.103728
PMID:39018832
Abstract

Humans experience feelings of confidence in their decisions. In perception, these feelings are typically accurate - we tend to feel more confident about correct decisions. The degree of insight people have into the accuracy of their decisions is known as metacognitive sensitivity. Currently popular methods of estimating metacognitive sensitivity are subject to interpretive ambiguities because they assume people have normally shaped distributions of different experiences when they are repeatedly exposed to a single input. If this normality assumption is violated, calculations can erroneously underestimate metacognitive sensitivity. Here, we describe a means of estimating metacognitive sensitivity that is more robust to violations of the normality assumption. This improved method can easily be added to standard behavioral experiments, and the authors provide Matlab code to help researchers implement these analyses and experimental procedures.

摘要

人类在决策时会感到自信。在感知方面,这些感觉通常是准确的——我们往往对正确的决定更有信心。人们对自己决策准确性的洞察力程度被称为元认知敏感性。目前,估计元认知敏感性的常用方法存在解释上的歧义,因为它们假设人们在反复接触单一输入时,具有正常形状的不同体验分布。如果违反了这种正态性假设,计算就会错误地低估元认知敏感性。在这里,我们描述了一种更能抵抗正态性假设违反的估计元认知敏感性的方法。这种改进的方法可以很容易地添加到标准的行为实验中,作者提供了 Matlab 代码来帮助研究人员实现这些分析和实验过程。

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