Evidence map›Paper›PMID 33861182›Full record

ArticleHuman factors2023

Neuroergonomics on the Go: An Evaluation of the Potential of Mobile EEG for Workplace Assessment and Design.

Edmund Wascher, Julian Reiser, Gerhard Rinkenauer, Mauro Larrá, Felix A Dreger, Daniel Schneider, Melanie Karthaus, Stephan Getzmann, Marie Gutberlet, Stefan Arnau

Abstract read
In one paragraph

Article in Human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Edmund Wascher28373 IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
Julian Reiser28373 IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.ORCID 0000-0001-9147-2916
Gerhard Rinkenauer28373 IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
Mauro Larrá28373 IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
Felix A Dreger28373 IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
Daniel Schneider28373 IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
Melanie Karthaus28373 IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
Stephan Getzmann28373 IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
Marie GutberletBlindsight GmbH, Schlitz, Germany.
Stefan Arnau28373 IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.ORCID 0000-0002-8858-4287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe demonstrate and discuss the use of mobile electroencephalogram (EEG) for neuroergonomics. Both technical state of the art as well as measures and cognitive concepts are systematically addressed.

backgroundModern work is increasingly characterized by information processing. Therefore, the examination of mental states, mental load, or cognitive processing during work is becoming increasingly important for ergonomics.

resultsMobile EEG allows to measure mental states and processes under real live conditions. It can be used for various research questions in cognitive neuroergonomics. Besides measures in the frequency domain that have a long tradition in the investigation of mental fatigue, task load, and task engagement, new approaches-like blink-evoked potentials-render event-related analyses of the EEG possible also during unrestricted behavior.

conclusionMobile EEG has become a valuable tool for evaluating mental states and mental processes on a highly objective level during work. The main advantage of this technique is that working environments don't have to be changed while systematically measuring brain functions at work. Moreover, the workflow is unaffected by such neuroergonomic approaches.

Indexed as

CognitionElectroencephalographyErgonomicsEvoked PotentialsHumansWorkplaceinformation processingmental statesmobile EEGneuroergonomics

Identifiers

PMID33861182
PMCPMC9846382

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.