Evidence map›Paper›PMID 39869655›Full record

ArticlePloS one2025

Predicting real-world navigation performance from a virtual navigation task in older adults.

Sarah Goodroe, Pablo Fernandez Velasco, Christoffer J Gahnstrom, Jan Wiener, Antoine Coutrot, Michael Hornberger, Hugo J Spiers

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Designing for Wayfinding in VR: Linking Navigation Interfaces to Spatial Learning and Cognitive Mapping.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Individual differences in navigation skill: towards reliable and valid measures.Cognitive research: principles and implications · 2025
    Article
  7. 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

7 authors.

Sarah GoodroeDepartment of Psychology, University of Pennsylvania, Pennsylvania, United States of America.
Pablo Fernandez VelascoInstitute of Behavioural Neuroscience, Department of Experimental Psychology, Division of Psychology and Language Sciences, University College London, London, United Kingdom.ORCID 0000-0001-7563-8170
Christoffer J GahnstromDepartment of Psychology, University of Pennsylvania, Pennsylvania, United States of America.
Jan WienerDepartment of Psychology, Ageing and Dementia Research Centre, Bournemouth University, Poole, United Kingdom.
Antoine CoutrotLIRIS, CNRS, University of Lyon, Lyon, France.ORCID 0000-0001-9569-3548
Michael HornbergerNorwich Medical School, University of East Anglia, Norwich, United Kingdom.
Hugo J SpiersInstitute of Behavioural Neuroscience, Department of Experimental Psychology, Division of Psychology and Language Sciences, University College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual reality environments presented on tablets and smartphones offer a novel way of measuring navigation skill and predicting real-world navigation problems. The extent to which such virtual tests are effective at predicting navigation in older populations remains unclear. We compared the performance of 20 older participants (54-74 years old) in wayfinding tasks in a real-world environment in London, UK, and in similar tasks designed in a mobile app-based test of navigation (Sea Hero Quest). In a previous study with young participants (18-35 years old), we were able to predict navigation performance in real-world tasks in London and Paris using this mobile app. We find that for the older cohort, virtual navigation performance predicts real-world performance for medium difficulty, but not for the easy or difficult environments. Overall, our study supports the utility of using digital tests of spatial cognition in older age groups, while carefully adapting the task difficulty to the population.

Indexed as

Spatial NavigationVirtual RealityAdultAgedFemaleHumansMaleMiddle AgedMobile ApplicationsTask Performance and AnalysisYoung Adult

Identifiers

PMID39869655
PMCPMC11771902

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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.