Journal article
Overburdening associations: the dependency of psychopathy- related acquisitional learning deficits on processing load
- Abstract:
- Psychopathic personality traits have been identified as an important individual predictor of associative learning capacity. Prior work has associated psychopathy with deficits when adapting learned associations in response to novel information. However, findings are inconsistent and are hypothesised to vary as a function of the processing load created by different experimental paradigms. We tested this hypothesis by examining the association between psychopathic traits and Stimulus-Response-Outcome contingency learning whilst manipulating contextual processing load. In experiment one and two, participants completed three versions of a configural object discrimination task that required participants to use increasingly multidimensional learning cues. Across both experiments, it was found that elevated levels of psychopathic traits were associated with a lesser capacity to form S-R-O associations in the bidimensional but not tridimensional versions of the learning task. This suggests psychopathy-related learning deficits may vary as a function of processing load inherent to the bidimensional learning environment, rather than the type of learning taking place. This provides some of the first experimental evidence that psychopathic learning deficits are detectable during the acquisition phase of learning.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 1.5MB, Terms of use)
-
- Publisher copy:
- 10.1016/j.paid.2024.112705
Authors
- Publisher:
- Elsevier
- Journal:
- Personality and Individual Differences More from this journal
- Volume:
- 226
- Article number:
- 112705
- Publication date:
- 2024-05-06
- Acceptance date:
- 2024-04-29
- DOI:
- EISSN:
-
1873-3549
- ISSN:
-
0191-8869
- Language:
-
English
- Keywords:
- Pubs id:
-
1993071
- Local pid:
-
pubs:1993071
- Deposit date:
-
2024-04-29
Terms of use
- Copyright holder:
- Gunschera et al.
- Copyright date:
- 2024
- Rights statement:
- © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Notes:
- For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record