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当现实变得模糊不清时:人们能否分辨自己的信仰和判断是对是错?

When reality is out of focus: Can people tell whether their beliefs and judgments are correct or wrong?

机构信息

University of Haifa.

出版信息

J Exp Psychol Gen. 2018 May;147(5):613-631. doi: 10.1037/xge0000397. Epub 2018 Jan 25.

Abstract

Can we tell whether our beliefs and judgments are correct or wrong? Results across many domains indicate that people are skilled at discriminating between correct and wrong answers, endorsing the former with greater confidence than the latter. However, it has not been realized that because of people's adaptation to reality, representative samples of items tend to favor the correct answer, yielding object-level accuracy (OLA) that is considerably better than chance. Across 16 experiments that used 2-alternative forced-choice items from several domains, the confidence/accuracy (C/A) relationship was positive for items with OLA >50%, but consistently negative across items with OLA <50%. A systematic sampling of items that covered the full range of OLA (0-100%) yielded a U-function relating confidence to OLA. The results imply that the positive C/A relationship that has been reported in many studies is an artifact of OLA being better than chance rather than representing a general ability to discriminate between correct and wrong responses. However, the results also support the ecological approach, suggesting that confidence is based on a frugal, "bounded" heuristic that has been specifically tailored to the ecological structure of the natural environment. This heuristic is used despite the fact that for items with OLA <50%, it yields confidence judgments that are counterdiagnostic of accuracy. Our ability to tell between correct and wrong judgments is confined to the probability structure of the world we live in. The results were discussed in terms of the contrast between systematic design and representative design. (PsycINFO Database Record

摘要

我们能否判断自己的信仰和判断是正确还是错误?来自多个领域的研究结果表明,人们在辨别正确和错误答案方面很有技巧,对前者的信心比对后者的信心更大。然而,人们还没有意识到,由于人们对现实的适应,代表性的项目样本往往倾向于正确答案,从而产生明显优于随机的客观水平准确性(OLA)。在 16 项实验中,使用了来自多个领域的二选一强制选择项目,对于 OLA>50%的项目,置信度/准确性(C/A)关系为正,但对于 OLA<50%的项目,C/A 关系一直为负。对涵盖 OLA (0-100%)全范围的项目进行系统抽样,得出了一个与 OLA 相关的 U 函数。结果表明,在许多研究中报告的正 C/A 关系是 OLA 优于随机的结果,而不是代表区分正确和错误反应的一般能力。然而,结果也支持了生态方法,表明信心是基于一种节俭的、“受限的”启发式,它是专门为自然环境的生态结构量身定制的。尽管对于 OLA<50%的项目,它产生的置信度判断与准确性相反,但仍然使用这种启发式。我们区分正确和错误判断的能力仅限于我们生活的世界的概率结构。结果是从系统设计和代表性设计之间的对比角度进行讨论的。

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