元认知
计算机科学
计算
度量(数据仓库)
置信区间
过程(计算)
对比度(视觉)
认知心理学
心理学
人工智能
统计
认知
算法
数学
数据挖掘
操作系统
神经科学
作者
Kobe Desender,Luc Vermeylen,Tom Verguts
标识
DOI:10.1038/s41467-022-31727-0
摘要
Abstract Humans differ in their capability to judge choice accuracy via confidence judgments. Popular signal detection theoretic measures of metacognition, such as M-ratio, do not consider the dynamics of decision making. This can be problematic if response caution is shifted to alter the tradeoff between speed and accuracy. Such shifts could induce unaccounted-for sources of variation in the assessment of metacognition. Instead, evidence accumulation frameworks consider decision making, including the computation of confidence, as a dynamic process unfolding over time. Using simulations, we show a relation between response caution and M-ratio. We then show the same pattern in human participants explicitly instructed to focus on speed or accuracy. Finally, this association between M-ratio and response caution is also present across four datasets without any reference towards speed. In contrast, when data are analyzed with a dynamic measure of metacognition, v-ratio, there is no effect of speed-accuracy tradeoff.
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