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Bias in perceptual learning. | LitMetric

Bias in perceptual learning.

Wiley Interdiscip Rev Cogn Sci

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

Published: November 2024

AI Article Synopsis

  • Perceptual learning helps people notice and understand things better, but it can also be influenced by personal interests and the training they receive.
  • Some types of bias in this learning process might not always be helpful and can lead to problems, even if they are temporary.
  • The article creates a way to think about these biases and explains that while perceptual learning is usually good, it depends on each person's situation and the environment they are in.

Article 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.

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Source
http://dx.doi.org/10.1002/wcs.1683DOI Listing

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