Summary information

Study title

Competition and Facilitation During Learning: Category Relevance Attenuates Overshadowing in Human Predictive Learning, 2021-2022

Creator

Urcelay, G, University of Nottingham

Study number / PID

856892 (UKDA)

10.5255/UKDA-SN-856892 (DOI)

Data access

Open

Series

Not available

Abstract

In situations in which multiple predictors anticipate the presence or absence of an outcome, cues compete to anticipate the outcome, resulting in a loss of associative strength compared to control conditions without additional cues. Critically, there are multiple factors modulating the magnitude and direction of such competition, although in some scenarios the effect of these factors remains unexplored. We sought to assess whether the relative salience of the elements in a compound of cues modulates the magnitude of the overshadowing effect in human predictive learning. Two separable categories (i.e., colors and symbols) were used in a predictive learning task. In Experiment 1, different groups of participants were granted with different time of exposure to a compound of cues belonging to different categories (color and symbol) to evaluate potential differences in the magnitude of overshadowing. Furthermore, we used posttest questionnaires to assess whether participants used either only one or both categories during training, and assessed if this impacted the magnitude of overshadowing. In general, overshadowing was not modulated by the time of exposition, except in the case of very short time of exposition with prominent learning about the most salient category. In Experiment 2, the relative salience of a category was biased via prior experience either with a biconditional discrimination or attending only the relevant category (either color or symbol). The previously relevant category was less prone to overshadowing, but not the alternative one. Results are discussed in light of attentional and configural theories of associative learning.In any domain of daily life and cognition, humans solve tasks and make decisions by using information that comes from multiple, different sources. It is quite obvious that we learn from previous experiences. We then use multiple sources of information to guide our behaviour in environments, make decisions about what is...
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Methodology

Data collection period

01/02/2021 - 28/02/2022

Country

United Kingdom

Time dimension

Not available

Analysis unit

Individual

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric
Text

Data collection mode

Online data collection. Participants were recruited through Prolific.

Funding information

Grant number

ES/R011494/2

Access

Publisher

UK Data Service

Publication year

2023

Terms of data access

The Data Collection is available from an external repository. Access is available via Related Resources.

Related publications

Not available