Evidence map›Paper›PMID 35513403›Full record

ArticleScientific reports2022

Multisensory GPS impact on spatial representation in an immersive virtual reality driving game.

Laura Seminati, Jacob Hadnett-Hunter, Richard Joiner, Karin Petrini

Abstract read
In one paragraph

Article in Scientific reports, 2022. 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. Article
  2. How Do In-Car Navigation Aids Impair Expert Navigators' Spatial Learning Ability?Annals of the American Association of Geographers · 2024
    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

4 authors.

Laura SeminatiDepartment of Psychology, University of Bath, Claverton Down, Bath, BA2 7AY, UK. ls2261@bath.ac.uk.
Jacob Hadnett-HunterDepartment of Psychology, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Richard JoinerDepartment of Psychology, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Karin PetriniDepartment of Psychology, University of Bath, Claverton Down, Bath, BA2 7AY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals are increasingly relying on GPS devices to orient and find their way in their environment and research has pointed to a negative impact of navigational systems on spatial memory. We used immersive virtual reality to examine whether an audio-visual navigational aid can counteract the negative impact of visual only or auditory only GPS systems. We also examined the effect of spatial representation preferences and abilities when using different GPS systems. Thirty-four participants completed an IVR driving game including 4 GPS conditions (No GPS; audio GPS; visual GPS; audio-visual GPS). After driving one of the routes in one of the 4 GPS conditions, participants were asked to drive to a target landmark they had previously encountered. The audio-visual GPS condition returned more accurate performance than the visual and no GPS condition. General orientation ability predicted the distance to the target landmark for the visual and the audio-visual GPS conditions, while landmark preference predicted performance in the audio GPS condition. Finally, the variability in end distance to the target landmark was significantly reduced in the audio-visual GPS condition when compared to the visual and audio GPS conditions. These findings support theories of spatial cognition and inform the optimisation of GPS designs.

Indexed as

Automobile DrivingVirtual RealityCognitionHumans

Identifiers

PMID35513403
PMCPMC9072375

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.