Evidence map›Paper›PMID 41188660›Full record

ArticleCognitive research: principles and implications2025

Training SONAR spatial interpretation using virtual reality.

John Salamon, Mike Nicholls, Irina Baetu, David Nicoll, Oren Griffiths

Abstract read
In one paragraph

Article in Cognitive research: principles and implications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

John SalamonCollege of Education, Psychology and Social Work, Flinders University, Adelaide, SA, Australia.ORCID 0000-0002-1880-474X
Mike NichollsCollege of Education, Psychology and Social Work, Flinders University, Adelaide, SA, Australia.ORCID 0000-0002-7072-3744
Irina BaetuSchool of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia.ORCID 0000-0002-5565-7136
David NicollCollege of Education, Psychology and Social Work, Flinders University, Adelaide, SA, Australia.ORCID 0009-0009-0659-2514
Oren GriffithsSchool of Psychological Sciences, University of Newcastle, Callaghan, Newcastle, NSW, 2308, Australia. oren.griffiths@newcastle.edu.au.ORCID 0000-0002-9833-9998

Funding

Defence Science and Technology Group 100012
6 · The paper itself

Abstract

Submariners must interpret SONAR data and make rapid tactical decisions under challenging conditions. The broadband time-bearing plot is a common visualisation method which requires mental spatial transformations to generate an actionable representation. Participants (N = 81) were trained on a VR scenario that required them to spatially localize an enemy vessel indicated on a time-bearing plot. In the supported condition, participants were given access to a novel egocentric, conformal display, which wrapped the time-bearing plot around the user's field of view. The unsupported group received no assistance. Compared to a baseline unsupported condition, we found that the VR overlay markedly improved both speed and accuracy. Test performance revealed over-reliance in the supported group, but this phenomenon varied notably between participants. Those who jointly used the initial time-bearing plot and the conformal aid during training showed good performance with the aid, and no cost of prior exposure at test. Comprehension of SONAR data can be aided by novel display formats, but care must be taken to avoid over-reliance.

Indexed as

ComprehensionSpace PerceptionVirtual RealityAdultFemaleHumansMaleYoung AdultAutomationDecision aidsSONARSpatial cognitionVirtual reality

Identifiers

PMID41188660
PMCPMC12586769

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.