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互动促进了无需指导的贝叶斯推理。

Interactivity fosters Bayesian reasoning without instruction.

机构信息

Department of Psychology, Kingston University.

Cognition, Langues, Langage, Ergonomie (CLLE-LTC), University of Toulouse.

出版信息

J Exp Psychol Gen. 2015 Jun;144(3):581-603. doi: 10.1037/a0039161.

DOI:10.1037/a0039161
PMID:26030173
Abstract

Successful statistical reasoning emerges from a dynamic system including: a cognitive agent, material artifacts with their actions possibilities, and the thoughts and actions that are realized while reasoning takes place. Five experiments provide evidence that enabling the physical manipulation of the problem information (through the use of playing cards) substantially improves statistical reasoning, without training or instruction, not only with natural frequency statements (Experiment 1) but also with single-event probability statements (Experiment 2). Improved statistical reasoning was not simply a matter of making all sets and subsets explicit in the pack of cards (Experiment 3), it was not merely due to the discrete and countable layout resulting from the cards manipulation, and it was not mediated by participants' level of engagement with the task (Experiment 5). The positive effect of an increased manipulability of the problem information on participants' reasoning performance was generalizable both over problems whose numeric properties did not map perfectly onto the cards and over different types of cards (Experiment 4). A systematic analysis of participants' behaviors revealed that manipulating cards improved performance when reasoners spent more time actively changing the presentation layout "in the world" as opposed to when they spent more time passively pointing at cards, seemingly attempting to solve the problem "in their head." Although they often go unnoticed, the action possibilities of the material artifacts available and the actions that are realized on those artifacts are constitutive of successful statistical reasoning, even in adults who have ostensibly reached cognitive maturity.

摘要

成功的统计推理源于一个动态系统,包括:认知主体、具有各种操作可能性的物质工具,以及在推理过程中实现的思维和行动。五项实验提供了证据,表明通过使用扑克牌使问题信息的物理操作(physical manipulation)得以实现,这大大提高了统计推理能力,而且无需培训或指导,不仅可以用自然频率陈述(实验 1),还可以用单次事件概率陈述(实验 2)。改进的统计推理并不仅仅是通过在扑克牌中明确所有集合和子集(实验 3)来实现的,也不仅仅是由于扑克牌操作产生的离散和可数布局,而且也不是通过参与者对任务的参与程度(实验 5)来实现的。增加问题信息的可操作性对参与者推理表现的积极影响不仅在数值特性与扑克牌不完全匹配的问题上具有普遍性,而且在不同类型的扑克牌上也具有普遍性(实验 4)。对参与者行为的系统分析表明,当推理者花费更多时间积极改变“在现实世界”中的呈现布局时,而不是当他们花费更多时间被动地指向扑克牌时,操纵扑克牌可以提高表现,他们似乎试图在“头脑中”解决问题。尽管这些动作常常被忽视,但可用的物质工具的操作可能性以及在这些工具上实现的操作是成功的统计推理的组成部分,即使是那些表面上已经达到认知成熟的成年人也是如此。

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