Skip to main content

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

Goodroe, S., Fernandez Velasco, P., Gahnstrom, C. J., Wiener, J., Coutrot, A., Hornberger, M. and Spiers, H. J., 2025. Predicting real-world navigation performance from a virtual navigation task in older adults. PLoS ONE, 20 (1), e0317026.

Full text available as:

[thumbnail of OPEN ACCESS ARTICLE]
Preview
PDF (OPEN ACCESS ARTICLE)
journal.pone.0317026.pdf - Published Version
Available under License Creative Commons Attribution.

802kB

DOI: 10.1371/journal.pone.0317026

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.

Item Type:Article
ISSN:1932-6203
Uncontrolled Keywords:Humans; Middle Aged; Aged; Male; Female; Spatial Navigation; Virtual Reality; Adult; Mobile Applications; Young Adult; Adolescent; Task Performance and Analysis; London; Cognition
Group:Faculty of Science & Technology
ID Code:40748
Deposited By: Symplectic RT2
Deposited On:06 Feb 2025 14:22
Last Modified:06 Feb 2025 14:22

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -