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Measuring Adaptive Control in Conflict Tasks

Authors :
Tobias Egner
Matthew J. C. Crump
Julie M. Bugg
Daniel H. Weissman
Senne Braem
Wim Notebaert
James R. Schmidt
Vrije Universiteit Brussel (VUB)
Washington University in Saint Louis (WUSTL)
Université Bourgogne Franche-Comté [COMUE] (UBFC)
Brooklyn College [CUNY, New York]
City University of New York [New York] (CUNY)
University of Michigan [Ann Arbor]
University of Michigan System
Universiteit Gent = Ghent University [Belgium] (UGENT)
Duke University [Durham]
Psychology
Brain, Body and Cognition
Cognitive and Biological Psychology
Source :
Trends in Cognitive Sciences, Trends in Cognitive Sciences, Elsevier, 2019, 23 (9), pp.769-783. ⟨10.1016/j.tics.2019.07.002⟩, Trends Cogn Sci
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

The past two decades have witnessed an explosion of interest in the cognitive and neural mechanisms of adaptive control processes that operate in selective attention tasks. This has spawned not only a large empirical literature and several theories but also the recurring identification of potential confounds and corresponding adjustments in task design to create confound-minimized metrics of adaptive control. The resulting complexity of this literature can be difficult to navigate for new researchers entering the field, leading to suboptimal study designs. To remediate this problem, we present here a consensus view among opposing theorists that specifies how researchers can measure four hallmark indices of adaptive control (the congruency sequence effect, and list-wide, context-specific, and item-specific proportion congruency effects) while minimizing easy-to-overlook confounds.

Details

Language :
English
ISSN :
13646613
Database :
OpenAIRE
Journal :
Trends in Cognitive Sciences, Trends in Cognitive Sciences, Elsevier, 2019, 23 (9), pp.769-783. ⟨10.1016/j.tics.2019.07.002⟩, Trends Cogn Sci
Accession number :
edsair.doi.dedup.....12bae68de36ba47f2e2e0c68d4ad6f6e
Full Text :
https://doi.org/10.1016/j.tics.2019.07.002⟩