Evidence map›Paper›PMID 27110964›Full record

ArticleErgonomics2016

Multi-modal demands of a smartphone used to place calls and enter addresses during highway driving relative to two embedded systems.

Bryan Reimer, Bruce Mehler, Ian Reagan, David Kidd, Jonathan Dobres

Abstract read
In one paragraph

Article in Ergonomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

5 authors.

Bryan Reimera MIT AgeLab, New England University Transportation Center , Cambridge , MA , USA.
Bruce Mehlera MIT AgeLab, New England University Transportation Center , Cambridge , MA , USA.
Ian Reaganb Insurance Institute for Highway Safety , Arlington , VA , USA.
David Kiddb Insurance Institute for Highway Safety , Arlington , VA , USA.
Jonathan Dobresa MIT AgeLab, New England University Transportation Center , Cambridge , MA , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is limited research on trade-offs in demand between manual and voice interfaces of embedded and portable technologies. Mehler et al. identified differences in driving performance, visual engagement and workload between two contrasting embedded vehicle system designs (Chevrolet MyLink and Volvo Sensus). The current study extends this work by comparing these embedded systems with a smartphone (Samsung Galaxy S4). None of the voice interfaces eliminated visual demand. Relative to placing calls manually, both embedded voice interfaces resulted in less eyes-off-road time than the smartphone. Errors were most frequent when calling contacts using the smartphone. The smartphone and MyLink allowed addresses to be entered using compound voice commands resulting in shorter eyes-off-road time compared with the menu-based Sensus but with many more errors. Driving performance and physiological measures indicated increased demand when performing secondary tasks relative to 'just driving', but were not significantly different between the smartphone and embedded systems. Practitioner Summary: The findings show that embedded system and portable device voice interfaces place fewer visual demands on the driver than manual interfaces, but they also underscore how differences in system designs can significantly affect not only the demands placed on drivers, but also the successful completion of tasks.

Indexed as

AttentionAutomobile DrivingSmartphoneTask Performance and AnalysisUser-Computer InterfaceAdultAgedFemaleGeographic Information SystemsHumansMaleMiddle AgedVoiceWorkloadYoung Adultdistractionhuman machine interfacevisual demandVoice interfaceworkload

Identifiers

PMID27110964
PMCPMC5215240

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.