Evidence map›Paper›PMID 34177439›Full record

ArticleFrontiers in neuroscience2021

No Difference in Arousal or Cognitive Demands Between Manual and Partially Automated Driving: A Multi-Method On-Road Study.

Monika Lohani, Joel M Cooper, Gus G Erickson, Trent G Simmons, Amy S McDonnell, Amanda E Carriero, Kaedyn W Crabtree, David L Strayer

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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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

8 authors at 1 institution in 1 country.

Monika LohaniDepartment of Educational Psychology, University of Utah, Salt Lake City, UT, United States.
Joel M CooperDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
Gus G EricksonDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
Trent G SimmonsDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
Amy S McDonnellDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
Amanda E CarrieroDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
Kaedyn W CrabtreeDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
David L StrayerDepartment of Psychology, University of Utah, Salt Lake City, UT, United States.
University of Utah · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

introductionPartial driving automation is not always reliable and requires that drivers maintain readiness to take over control and manually operate the vehicle. Little is known about differences in drivers' arousal and cognitive demands under partial automation and how it may make it difficult for drivers to transition from automated to manual modes. This research examined whether there are differences in drivers' arousal and cognitive demands during manual versus partial automation driving.

methodWe compared arousal (using heart rate) and cognitive demands (using the root mean square of successive differences in normal heartbeats; RMSSD, and Detection Response Task; DRT) while 39 younger (

resultsResults suggest no significant differences in heart rate, RMSSD, or DRT reaction time performance between manual and partially automated modes of driving for either younger or late-middle-aged adults across the four test vehicles. A Bayes Factor analysis suggested that heart rate, RMSSD, and DRT data showed extreme evidence in favor of the null hypothesis.

conclusionThis novel study conducted on real roads with a representative sample provides important evidence of no difference in arousal and cognitive demands. Younger and late-middle-aged motorists who are new to partial automation are able to maintain arousal and cognitive demands comparable to manual driving while using the partially automated technology. Drivers who are more experienced with partially automated technology may respond differently than those with limited prior experience.

Indexed as

applied cognitiondetection response taskheart rateheart rate variabilitypartial driving automation

Identifiers

PMID34177439
PMCPMC8222579
OpenAlexW3172164724

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.