Evidence map›Paper›PMID 32036415›Full record

ArticleExperimental brain research2020

How visual information influences dual-task driving and tracking.

Laura Broeker, Mathias Haeger, Otmar Bock, Bettina Kretschmann, Harald Ewolds, Stefan Künzell, Markus Raab

Abstract read
In one paragraph

Article in Experimental brain research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Directed Neural Network Dynamics in Sensorimotor Integration: Divergent Roles of Frontal Theta Band Activity Depending on Age.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

7 authors.

Laura BroekerInstitute of Psychology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany. l.broeker@dshs-koeln.de.ORCID http://orcid.org/0000-0001-7552-1060
Mathias HaegerInstitute of Exercise Training and Sport Informatics, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany.ORCID http://orcid.org/0000-0001-9915-7478
Otmar BockInstitute of Exercise Training and Sport Informatics, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany.ORCID http://orcid.org/0000-0003-0485-6765
Bettina KretschmannInstitute of Psychology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany.
Harald EwoldsInstitute of Sports Science, Augsburg University, Universitätsstraße 3, 86135, Augsburg, Germany.
Stefan KünzellInstitute of Sports Science, Augsburg University, Universitätsstraße 3, 86135, Augsburg, Germany.ORCID http://orcid.org/0000-0001-9132-389X
Markus RaabInstitute of Psychology, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany.ORCID http://orcid.org/0000-0001-6546-1666

Funding

Deutsche Forschungsgemeinschaft BO 649/22-1Deutsche Forschungsgemeinschaft KU 1557/3-1Deutsche Forschungsgemeinschaft RA 940/17-1
6 · The paper itself

Abstract

The study examined the impact of visual predictability on dual-task performance in driving and tracking tasks. Participants (N = 27) performed a simulated driving task and a pursuit tracking task. In either task, visual predictability was manipulated by systematically varying the amount of advance visual information: in the driving task, participants drove at night with low beam, at night with high beam, or in daylight; in the tracking task, participants saw a white line that specified the future target trajectory for 200, 400 or 800 ms. Concurrently with driving or tracking, participants performed an auditory task. They had to discriminate between two sounds and press a pedal upon hearing the higher sound. Results show that in general, visual predictability benefited driving and tracking; however, dual-task driving performance was best with highest visual predictability (daylight), dual-task tracking performance was best with medium visual predictability (400 ms). Braking/reaction times were higher in dual tasks compared to single tasks, but were unaffected by visual predictability, showing that its beneficial effects did not transfer to the auditory task. In both tasks, manual accuracy decreased around the moment the foot pressed the pedal, indicating interference between tasks. We, therefore, conclude that despite a general beneficial impact of predictability, the integration of visual information seems to be rather task specific, and that interference between driving and audiomotor tasks, and tracking and audiomotor tasks, seems comparable.

Indexed as

Task Performance and AnalysisAdultAttentionAuditory PerceptionFemaleHumansMalePsychomotor PerformanceReaction TimeVisual PerceptionYoung AdultDriving simulationDual taskManual trackingPredictability

Identifiers

PMID32036415
PMCPMC7080687

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.