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The Influence of Working Memory Load on Expectancy-Based Strategic Processes in the Stroop-Priming Task

Overview of attention for article published in Frontiers in Psychology, February 2017
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Title
The Influence of Working Memory Load on Expectancy-Based Strategic Processes in the Stroop-Priming Task
Published in
Frontiers in Psychology, February 2017
DOI 10.3389/fpsyg.2017.00129
Pubmed ID
Authors

Juan J. Ortells, Dolores Álvarez, Carmen Noguera, Encarna Carmona, Jan W. de Fockert

Abstract

The present study investigated whether a differential availability of cognitive control resources as a result of varying working memory (WM) load could affect the capacity for expectancy-based strategic actions. Participants performed a Stroop-priming task in which a prime word (GREEN or RED) was followed by a colored target (red vs. green) that participants had to identify. The prime was incongruent or congruent with the target color on 80 and 20% of the trials, respectively, and participants were informed about the differential proportion of congruent vs. incongruent trials. This task was interleaved with a WM task, such that the prime word was preceded by a sequence of either a same digit repeated five times (low load) or five different random digits (high load), which should be retained by participants. After two, three, or four Stroop trials, they had to decide whether or not a probe digit was a part of the memory set. The key finding was a significant interaction between prime-target congruency and WM load: Whereas a strategy-dependent (reversed Stroop) effect was found under low WM load, a standard Stroop interference effect was observed under high WM load. These findings demonstrate that the availability of WM is crucial for implementing expectancy-based strategic actions.

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Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Professor 4 20%
Student > Doctoral Student 3 15%
Student > Postgraduate 2 10%
Professor > Associate Professor 2 10%
Other 1 5%
Unknown 4 20%
Readers by discipline Count As %
Psychology 10 50%
Business, Management and Accounting 1 5%
Veterinary Science and Veterinary Medicine 1 5%
Economics, Econometrics and Finance 1 5%
Sports and Recreations 1 5%
Other 0 0%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 January 2017.
All research outputs
#18,852,982
of 23,362,684 outputs
Outputs from Frontiers in Psychology
#22,978
of 31,098 outputs
Outputs of similar age
#312,799
of 422,395 outputs
Outputs of similar age from Frontiers in Psychology
#370
of 457 outputs
Altmetric has tracked 23,362,684 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,098 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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