Evidence map›Paper›PMID 32764627›Full record

ArticleScientific reports2020

Factors determining speed management during distracted driving (WhatsApp messaging).

Sonia Ortiz-Peregrina, Oscar Oviedo-Trespalacios, Carolina Ortiz, Miriam Casares-López, Carlos Salas, Rosario G Anera

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Aggressive Driving Behaviours in Cannabis Users. The Influence of Consumer Characteristics.International journal of environmental research and public health · 2021
    Article
  9. Effects of Smoking Cannabis on Visual Function and Driving Performance. A Driving-Simulator Based Study.International journal of environmental research and public health · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Sonia Ortiz-PeregrinaLaboratory of Vision Sciences and Applications, Department of Optics, University of Granada, Edificio Mecenas, Av. Fuentenueva s/n, 18071, Granada, Spain.
Oscar Oviedo-TrespalaciosCentre for Accident Research and Road Safety-Queensland (CARRS-Q), Queensland University of Technology (QUT), Brisbane, 4059, Australia.
Carolina OrtizLaboratory of Vision Sciences and Applications, Department of Optics, University of Granada, Edificio Mecenas, Av. Fuentenueva s/n, 18071, Granada, Spain. ortizh@ugr.es.
Miriam Casares-LópezLaboratory of Vision Sciences and Applications, Department of Optics, University of Granada, Edificio Mecenas, Av. Fuentenueva s/n, 18071, Granada, Spain.
Carlos SalasLaboratory of Vision Sciences and Applications, Department of Optics, University of Granada, Edificio Mecenas, Av. Fuentenueva s/n, 18071, Granada, Spain.
Rosario G AneraLaboratory of Vision Sciences and Applications, Department of Optics, University of Granada, Edificio Mecenas, Av. Fuentenueva s/n, 18071, Granada, Spain.
Universidad de Granada · ESQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this work was to investigate self-regulation behaviours, particularly speed management, under distracted conditions due to WhatsApp use. We also studied the influence of different environments and driver characteristics, introducing visual status as one of them. Seventy-five drivers were evaluated in a simulator study involving two test sessions under baseline and texting conditions. A cluster analysis was used to identify two groups with different visual capacity .Lastly, possible predictors of speed management were studied developing a generalised linear mixed model. Our results show that drivers reduced their speeds in the presence of more demanding driving conditions; while replying to a WhatsApp message, on curved road segments and when parked cars are present. Driving speed also correlated with driver characteristics such as age or dual task experience and human factors such as self-perceived risk. Finally, although there were significant differences in visual capacity between the two groups identified, the model did not identify visual capacity membership as a significant predictor of speed management. This study could provide a better understanding of the mechanisms drivers use when WhatsApp messaging and which environments and driver conditions influence how speed is managed.

Identifiers

PMID32764627
PMCPMC7413379
OpenAlexW3047517684

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.