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知觉学习中的偏差。

Bias in perceptual learning.

机构信息

Department of Economics, Philosophy, and Political Science, University of British Columbia, Kelowna, British Columbia, Canada.

Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA.

出版信息

Wiley Interdiscip Rev Cogn Sci. 2024 Sep-Oct;15(5):e1683. doi: 10.1002/wcs.1683. Epub 2024 May 13.

Abstract

Perceptual learning is commonly understood as conferring some benefit to the learner, such as allowing for the extraction of more information from the environment. However, perceptual learning can be biased in several different ways, some of which do not appear to provide such a benefit. Here we outline a systematic framework for thinking about bias in perceptual learning and discuss how several cases fit into this framework. We argue these biases are compatible with an understanding in which perceptual learning is beneficial, but that its benefits are tied to both a person's narrow interests and the training environment or domain, and so if there are changes to either of these, then benefits can turn into liabilities, though these are often temporary. This article is categorized under: Psychology > Learning Philosophy > Value Linguistics > Language Acquisition.

摘要

感知学习通常被理解为给学习者带来一些好处,例如让学习者从环境中提取更多信息。然而,感知学习可能会以几种不同的方式产生偏差,其中一些似乎并没有带来这样的好处。在这里,我们概述了一个系统的框架来思考感知学习中的偏差,并讨论了几种情况如何适应这个框架。我们认为这些偏差与感知学习有益的理解是一致的,但它的好处与一个人的狭隘兴趣以及训练环境或领域有关,因此,如果这些因素中的任何一个发生变化,那么好处就可能变成负担,尽管这些负担通常是暂时的。本文属于以下分类:心理学>学习>价值观语言学>语言习得。

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