Summary information

Study title

Competition and Facilitation During Learning: Temporal Contiguity Determines Overshadowing and Potentiation of Human Action-Outcome Performance, 2020-2021

Creator

Urcelay, G, University of Nottingham

Study number / PID

856890 (UKDA)

10.5255/UKDA-SN-856890 (DOI)

Data access

Open

Series

Not available

Abstract

Three experiments (n = 81, n = 81, n = 82, respectively) explored how temporal contiguity influences Action-Outcome learning, assessing whether an intervening signal competed, facilitated, or had no effect on performance and causal attribution in undergraduate participants. Across experiments, we observed competition and facilitation as a function of the temporal contiguity between Action and Outcome. When there was a strong temporal relationship between Action and Outcome, the signal competed with the action, hindering instrumental performance but not causal attribution (Experiments 1 and 3). However, with weak temporal contiguity, the same signal facilitated both instrumental performance and causal attribution (Experiments 1 and 2). Finally, the physical intensity of the signal determined the magnitude of competition. As anticipated by associative learning models, a more salient signal attenuated to a greater extent instrumental performance (Experiment 3). These results are discussed by reference to a recent adaptation of the configural theory of 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 beneficial for us, and act in social situations (attributions, imitation). Most times however, not all information in the environment is useful. For example, if we eat fish and chips and later become ill, it is difficult to know which of the two made us ill, and people tend to select one or the other based on quantity. In fact, humans are particularly adept at selecting and learning from those sources which provide information about relevant outcomes. Hence, the idea of competition between different sources of information has been prominent in theories of learning. A wealth of data in the social...
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Methodology

Data collection period

01/02/2020 - 30/11/2021

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

The data were collected whilst participants participated in the experiments. In each experiment, participants were experienced different conditions (within-subjects designs). The experiment was written in Psychopy and hosted in Pavlovia for online data collection.

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