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为什么我们对一些基于信号检测的信心分析缺乏信心

Derek H Arnold¹, Alan Johnston², Joshua Adie³

¹School of Psychology, The University of Queensland, Australia.

Consciousness and cognition

|June 9, 2023

概括

信号检测理论 (SDT) 的信心分析被广泛使用,但依赖于可疑的正常性假设. 当这个假设被违反时,meta-d

科学领域:

认知心理学认知心理学
神经科学是一个神经科学.
心理物理学的精神物理.

背景情况:

信号检测理论 (SDT) 是分析人类行为数据,特别是信任判断的普遍框架.
SDT提供了灵敏度估计 (d) 和一个元度量 (meta-d),它基于高信心决策来量化元认知效率低下.
目前的SDT信任分析假设正常分布的感知体验,这是一个关键的,但可能有缺陷的假设.

研究的目的:

调查非正常经验分布对基于SDT的信心分析的影响.
要确定当正常性假设被违反时,meta-d'是否准确地反映了metacognitive效率低下.

主要方法:

实证实验涉及人类参与者.
计算建模模拟感知经验分布.
分析信号检测理论 (SDT) 的指标,包括d'和meta-d'.

主要成果:

与正常性假设的偏差系统地低估了meta-d'相对于d'.
在非正常分布下,Meta-d'并不能提供对元认知效率低下的基准真实度量.
一些SDT启发的分析比其他分析对正常性假设的违规性更强大.

结论:

在SDT信心分析中的正常性假设可能导致对元认知效率低下的不准确评估.
研究人员在解释从潜在的非正常数据中得出的meta-d'值时应谨慎.
当正常性不确定时,基于SDT的替代方法可能会提供更可靠的元认知测量.

关键词:

信心信心信心信心信心感知元认知是一种感知元认知.信号检测理论的理论视觉适应视觉适应

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