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元认知后见之明偏差

Metacognitive hindsight bias.

作者信息

Ackerman Rakefet, Bernstein Daniel M, Kumar Ragav

机构信息

Faculty of Industrial Engineering and Management, Technion-Israel Institute of Technology Technion City, 3200003, Haifa, Israel.

Kwantlen Polytechnic University, Surrey, British Columbia, Canada.

出版信息

Mem Cognit. 2020 Jul;48(5):731-744. doi: 10.3758/s13421-020-01012-w.

Abstract

Hindsight bias (HB) is the tendency to see known information as obvious. We studied metacognitive hindsight bias (MC-HB)-a shift away from one's original confidence regarding answers provided before learning the actual facts. In two experiments, participants answered general-knowledge questions in social scenarios and provided their confidence in each answer. Subsequently, they learned answers to half the questions and then recalled their initial answers and confidence. Finally, they reanswered, as a learning check. We measured confidence accuracy by calibration (over/underconfidence) and resolution (discrimination between incorrect and correct answers), expecting them to improve in hindsight. In both experiments, participants displayed robust HB and MC-HB for resolution despite attempts to recall the initial confidence in one's answer. In Experiment 2, promising anonymity to participants eliminated MC-HB, while social scenarios produced MC-HB for both resolution and calibration-indicative of overconfidence. Overall, our findings highlight that in social contexts, recall of confidence in hindsight is more consistent with answers' accuracy than confidence initially was. Social scenarios differently affect HB and MC-HB, thus dissociating these two biases.

摘要

后见之明偏差(HB)是指将已知信息视为显而易见的倾向。我们研究了元认知后见之明偏差(MC-HB)——在得知实际事实之前,对自己给出的答案的最初信心发生的转变。在两项实验中,参与者回答社会场景中的常识性问题,并对每个答案给出自己的信心程度。随后,他们得知了一半问题的答案,然后回忆自己最初的答案和信心程度。最后,作为学习检验,他们再次作答。我们通过校准(过度/自信不足)和分辨率(区分错误答案和正确答案)来衡量信心准确性,预计它们在后见之明中会有所提高。在两项实验中,尽管参与者试图回忆自己答案的最初信心,但在分辨率方面仍表现出强烈的HB和MC-HB。在实验2中,向参与者承诺匿名消除了MC-HB,而社会场景在分辨率和校准方面都产生了MC-HB——这表明存在过度自信。总体而言,我们的研究结果突出表明,在社会背景下,后见之明中对信心的回忆比最初的信心更符合答案的准确性。社会场景对HB和MC-HB的影响不同,从而将这两种偏差区分开来。

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