Cited by 6Spatial Cognition and NavigationData Visualization and AnalyticsGeographic Information Systems Studies

The influence of landmark visualization style on expert wayfinders' visual attention during a real-world navigation task

Open access
Kapaj, Armand, Lanini-Maggi, Sara, Fabrikant, Sara·2021·eScholarship, University of California

Abstract

Landmarks serve to structure the environment we experience, and therefore they are also critically important for our everyday movement through and knowledge acquisition about space. How to effectively visualize landmarks to support spatial learning during map-assisted pedestrian navigation is still an open question. We thus set out to assess how landmark visualization styles (i.e., abstract 2D vs. realistic 3D) influence map-assisted spatial learning of expert wayfinders in an outdoor navigation study. Below we report on how the visualization of landmarks on mobile maps might influence wayfinder’s gaze behavior while trying to find a set of landmarks along a given route in an unfamiliar environment. We find that navigators assisted with mobile maps showing realistic-looking 3D landmarks more equally share their visual attention on task-relevant information, while those assisted with maps containing abstract 2D landmarks frequently switch their visual attention between the visualized landmarks and the mobile map to complete the navigation task. The presented analysis approach for the assessment of wayfinder’s gaze patterns has the potential to contribute ecologically valid insights for the understanding of human visual attention allocation during outdoor navigation, and to further understand how landmark depiction styles on mobile maps might guide wayfinders’ visual attention back to the environment to support spatial learning during map-assisted navigation.

Integrity signals

Registry

DataCite · 10.25436/e2np44

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kapaj, A., Lanini-Maggi, S., & Fabrikant, S.
Affiliations
University of Zurich (CH)
Venue
eScholarship, University of California
Publisher
eScholarship, University of California
Published
2021
OpenAlex
W3199439866
Cited by
6
References
3
Citations by year
2024: 3 · 2023: 1 · 2022: 2
FWCI
0.49
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • eScholarship (California Digital Library) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
  • UC Santa Barbara
  • Geographic Information Science
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
  • Social Sciences › Geography, Planning and Development › Geographic Information Systems Studies
Keywords
wayfinding, visual attention, gaze behavior, mobile maps, spatial learning, outdoor navigation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review