Evidence map›Paper›PMID 33398471›Full record

ArticleCognitive research: principles and implications2021

The impact of predictability on dual-task performance and implications for resource-sharing accounts.

Laura Broeker, Harald Ewolds, Rita F de Oliveira, Stefan Künzell, Markus Raab

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Laura BroekerInstitute of Psychology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany. l.broeker@dshs-koeln.de.ORCID 0000-0001-7552-1060
Harald EwoldsInstitute of Sports Science, Augsburg University, Universitätsstraße 3, 86135, Augsburg, Germany.
Rita F de OliveiraSchool of Applied Sciences, London South Bank University, 103 Borough Road, London, SE1 0AA, UK.
Stefan KünzellInstitute of Sports Science, Augsburg University, Universitätsstraße 3, 86135, Augsburg, Germany.
Markus RaabInstitute of Psychology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to examine the impact of predictability on dual-task performance by systematically manipulating predictability in either one of two tasks, as well as between tasks. According to capacity-sharing accounts of multitasking, assuming a general pool of resources two tasks can draw upon, predictability should reduce the need for resources and allow more resources to be used by the other task. However, it is currently not well understood what drives resource-allocation policy in dual tasks and which resource allocation policies participants pursue. We used a continuous tracking task together with an audiomotor task and manipulated advance visual information about the tracking path in the first experiment and a sound sequence in the second experiments (2a/b). Results show that performance predominantly improved in the predictable task but not in the unpredictable task, suggesting that participants did not invest more resources into the unpredictable task. One possible explanation was that the re-investment of resources into another task requires some relationship between the tasks. Therefore, in the third experiment, we covaried the two tasks by having sounds 250 ms before turning points in the tracking curve. This enabled participants to improve performance in both tasks, suggesting that resources were shared better between tasks.

Indexed as

Psychomotor PerformanceTask Performance and AnalysisAttentionHumansReaction TimeSoundDual taskMultitaskingPredictabilityTask integrationTracking

Identifiers

PMID33398471
PMCPMC7782670

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.