Evidence map›Paper›PMID 35853945›Full record

ArticleNPJ science of learning2022

Redesigning navigational aids using virtual global landmarks to improve spatial knowledge retrieval.

Jia Liu, Avinash Kumar Singh, Anna Wunderlich, Klaus Gramann, Chin-Teng Lin

Abstract read
In one paragraph

Article in NPJ science of learning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Get the unbalance right: asymmetric transfer effects in cognitive offloading.Cognitive research: principles and implications · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. How Do In-Car Navigation Aids Impair Expert Navigators' Spatial Learning Ability?Annals of the American Association of Geographers · 2024
    Article
  7. Article
  8. 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.

Jia LiuCIBCI Centre, Australian AI Institute, School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia.ORCID http://orcid.org/0000-0003-1415-1195
Avinash Kumar SinghCIBCI Centre, Australian AI Institute, School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia. avinash.singh@uts.edu.au.ORCID http://orcid.org/0000-0002-6539-9695
Anna WunderlichBiological Psychology and Neuroergonomics, Berlin Institute of Technology, Berlin, Germany.ORCID http://orcid.org/0000-0003-2378-1164
Klaus GramannCIBCI Centre, Australian AI Institute, School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia.ORCID http://orcid.org/0000-0003-2673-1832
Chin-Teng LinCIBCI Centre, Australian AI Institute, School of Computer Science, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia.ORCID http://orcid.org/0000-0001-8371-8197

Funding

Centre of Excellence for Electromaterials Science, Australian Research Council (ARC Centre of Excellence for Electromaterials Science) DP180100656, DP210101093
6 · The paper itself

Abstract

Although beacon- and map-based spatial strategies are the default strategies for navigation activities, today's navigational aids mostly follow a beacon-based design where one is provided with turn-by-turn instructions. Recent research, however, shows that our reliance on these navigational aids is causing a decline in our spatial skills. We are processing less of our surrounding environment and relying too heavily on the instructions given. To reverse this decline, we need to engage more in map-based learning, which encourages the user to process and integrate spatial knowledge into a cognitive map built to benefit flexible and independent spatial navigation behaviour. In an attempt to curb our loss of skills, we proposed a navigation assistant to support map-based learning during active navigation. Called the virtual global landmark (VGL) system, this augmented reality (AR) system is based on the kinds of techniques used in traditional orienteering. Specifically, a notable landmark is always present in the user's sight, allowing the user to continuously compute where they are in relation to that specific location. The efficacy of the unit as a navigational aid was tested in an experiment with 27 students from the University of Technology Sydney via a comparison of brain dynamics and behaviour. From an analysis of behaviour and event-related spectral perturbation, we found that participants were encouraged to process more spatial information with a map-based strategy where a silhouette of the compass-like landmark was perpetually in view. As a result of this technique, they consistently navigated with greater efficiency and better accuracy.

Identifiers

PMID35853945
PMCPMC9296625

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.