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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...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
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.