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不惜任何代价?基于记忆的推理中的信息整合取决于认知努力。

Whatever the cost? Information integration in memory-based inferences depends on cognitive effort.

作者信息

Hilbig Benjamin E, Michalkiewicz Martha, Castela Marta, Pohl Rüdiger F, Erdfelder Edgar

机构信息

Cognitive Psychology Lab, Department of Psychology, University of Koblenz-Landau, Fortstraße 7, 76829, Landau, Germany,

出版信息

Mem Cognit. 2015 May;43(4):659-71. doi: 10.3758/s13421-014-0493-z.

Abstract

One of the most prominent models of probabilistic inferences from memory is the simple recognition heuristic (RH). The RH theory assumes that judgments are based on recognition in isolation, such that other information is ignored. However, some prior research has shown that available knowledge is not generally ignored. In line with the notion of adaptive strategy selection--and, thus, a trade-off between accuracy and effort--we hypothesized that information integration crucially depends on how easily accessible information beyond recognition is, how much confidence decision makers have in this information, and how (cognitively) costly it is to acquire it. In three experiments, we thus manipulated (a) the availability of information beyond recognition, (b) the subjective usefulness of this information, and (c) the cognitive costs associated with acquiring this information. In line with the predictions, we found that RH use decreased substantially, the more easily and confidently information beyond recognition could be integrated, and increased substantially with increasing cognitive costs.

摘要

记忆概率推理最突出的模型之一是简单识别启发式(RH)。RH理论假设判断仅基于识别,其他信息被忽略。然而,一些先前的研究表明,可用知识通常不会被忽略。根据适应性策略选择的概念——因此,在准确性和努力之间进行权衡——我们假设信息整合关键取决于识别之外的信息的可获取程度、决策者对该信息的信心程度以及获取该信息的(认知)成本。因此,在三个实验中,我们操纵了(a)识别之外的信息的可用性,(b)该信息的主观有用性,以及(c)与获取该信息相关的认知成本。与预测一致,我们发现,识别之外的信息越容易、越有信心被整合,RH的使用就大幅减少;随着认知成本的增加,RH的使用则大幅增加。

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