Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/28869
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Relationships between implicit and explicit uncertainty monitoring and mindreading: Evidence from autism spectrum disorder
Author(s): Nicholson, Toby
Williams, David M
Grainger, Catherine
Lind, Sophie E
Carruthers, Peter
Keywords: Autism spectrum disorder
Metacognition
Mindreading
Uncertainty judgment
Uncertainty monitoring
Issue Date: Apr-2019
Date Deposited: 28-Feb-2019
Citation: Nicholson T, Williams DM, Grainger C, Lind SE & Carruthers P (2019) Relationships between implicit and explicit uncertainty monitoring and mindreading: Evidence from autism spectrum disorder. Consciousness and Cognition, 70, pp. 11-24. https://doi.org/10.1016/j.concog.2019.01.013
Abstract: We examined performance on implicit (non-verbal) and explicit (verbal) uncertainty-monitoring tasks among neurotypical participants and participants with autism, while also testing mindreading abilities in both groups. We found that: (i) performance of autistic participants was unimpaired on the implicit uncertainty-monitoring task, while being significantly impaired on the explicit task; (ii) performance on the explicit task was correlated with performance on mindreading tasks in both groups, whereas performance on the implicit uncertainty-monitoring task was not; and (iii) performance on implicit and explicit uncertainty-monitoring tasks was not correlated. The results support the view that (a) explicit uncertainty-monitoring draws on the same cognitive faculty as mindreading whereas (b) implicit uncertainty-monitoring only test first-order decision making. These findings support the theory that metacognition and mindreading are underpinned by the same meta-representational faculty/resources, and that the implicit uncertainty-monitoring tasks that are frequently used with non-human animals fail to demonstrate the presence of metacognitive abilities.
DOI Link: 10.1016/j.concog.2019.01.013
Rights: © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

Files in This Item:
File Description SizeFormat 
1-s2.0-S1053810018305658-main.pdfFulltext - Published Version1.24 MBAdobe PDFView/Open



This item is protected by original copyright



A file in this item is licensed under a Creative Commons License Creative Commons

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.