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Competition and Facilitation During Learning: Further Evidence for the Role of Temporal Contiguity as a Determinant of Overshadowing, 2020-2022
Creator
Urcelay, G, University of Nottingham
Study number / PID
856894 (UKDA)
10.5255/UKDA-SN-856894 (DOI)
Data access
Open
Series
Not available
Abstract
Three experiments explored whether weakening temporal contiguity between auditory cues and an aversive outcome attenuated cue competition in an avoidance learning task with human participants. Overall, with strong temporal contiguity between auditory cues and the outcome during training (the offset of the predictive auditory signals concurred with the onset of the outcome), the target cue trained as part of a compound yielded less avoidance behaviour than the control cue trained alone, an instance of overshadowing. However, weakening temporal contiguity during training (inserting a 5-s trace) attenuated overshadowing, resulting in similar avoidance behaviour in response to the control and target cues. These results provide evidence that, as predicted by a recent modification of Pearce’s configural theory, temporal contiguity is critical for determining cue competition.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 sciences and psychology supports this assertion. Yet, the finding that multiple sources of information compete during learning is not ubiquitous. In some fields (i.e., spatial learning,...
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 - 31/05/2022
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
The data was collected whilst participants participated in the experiments. In each experiment, participants experienced different conditions (within and between-subjects designs). The experiment was written in C++ and data collected in person.
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.