Literature DB >> 22844987

Eye movements reveal dynamics of task control.

Ulrich Mayr1, David Kuhns, Miranda Rieter.   

Abstract

With the goal to determine the cognitive architecture that underlies flexible changes of control settings, we assessed within-trial and across-trial dynamics of attentional selection by tracking of eye movements in the context of a cued task-switching paradigm. Within-trial dynamics revealed a switch-induced, discrete delay in onset of task-congruent fixations, a result that is consistent with a higher level configuration process. Next, we derived predictions about the trial-to-trial dynamic coupling of control settings from competing models, assuming that control is achieved either through task-level competition or through higher level configuration processes. Empirical coupling dynamics between trial n-1 eye movements and trial n response times--estimated through mixed linear modeling--revealed a pattern that was consistent with the higher level configuration model. The results indicate that a combination of eye movement data and mixed modeling methods can yield new constraints on models of flexible control. This general approach can be useful in any domain in which theoretical progress depends on high-resolution information about dynamic relationships within individuals. PsycINFO Database Record (c) 2013 APA, all rights reserved.

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Year:  2012        PMID: 22844987     DOI: 10.1037/a0029353

Source DB:  PubMed          Journal:  J Exp Psychol Gen        ISSN: 0022-1015


  6 in total

1.  Trading off switch costs and stimulus availability benefits: An investigation of voluntary task-switching behavior in a predictable dynamic multitasking environment.

Authors:  Victor Mittelstädt; Jeff Miller; Andrea Kiesel
Journal:  Mem Cognit       Date:  2018-07

2.  Is conflict adaptation due to active regulation or passive carry-over? Evidence from eye movements.

Authors:  Jason Hubbard; David Kuhns; Theo A J Schäfer; Ulrich Mayr
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2016-09-22       Impact factor: 3.051

3.  Dynamics of task-set carry-over: evidence from eye-movement analyses.

Authors:  Atsushi Kikumoto; Jason Hubbard; Ulrich Mayr
Journal:  Psychon Bull Rev       Date:  2016-06

4.  Proactive inhibitory control: A general biasing account.

Authors:  Heike Elchlepp; Aureliu Lavric; Christopher D Chambers; Frederick Verbruggen
Journal:  Cogn Psychol       Date:  2016-02-07       Impact factor: 3.468

5.  EEG Decoding Reveals the Strength and Temporal Dynamics of Goal-Relevant Representations.

Authors:  Jason Hubbard; Atsushi Kikumoto; Ulrich Mayr
Journal:  Sci Rep       Date:  2019-06-21       Impact factor: 4.379

6.  Electrophysiological indicators of surprise and entropy in dynamic task-switching environments.

Authors:  Bruno Kopp; Florian Lange
Journal:  Front Hum Neurosci       Date:  2013-07-03       Impact factor: 3.169

  6 in total

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