Evidence map›Paper›PMID 38355942›Full record

ArticleScientific reports2024

The role of strategic visibility in shaping wayfinding behavior in multilevel buildings.

Michal Gath-Morad, Jascha Grübel, Koen Steemers, Kerstin Sailer, Lola Ben-Alon, Christoph Hölscher, Leonel Aguilar

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Michal Gath-MoradCambridge Cognitive Architecture, Department of Architecture, University of Cambridge, Cambridge, United Kingdom. mg2068@cam.ac.uk.ORCID http://orcid.org/0000-0001-7673-6290
Jascha GrübelChair of Cognitive Science, ETH Zürich, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-6428-4685
Koen SteemersThe Behavior and Building Performance Group, Department of Architecture, University of Cambridge, Cambridge, UK.
Kerstin SailerThe Space Syntax Laboratory, The Bartlett School of Architecture, University College London, London, UK.
Lola Ben-AlonGraduate School of Architecture, Planning and Preservation (GSAPP), Columbia University, New York, USA.
Christoph HölscherChair of Cognitive Science, ETH Zürich, Zürich, Switzerland.
Leonel AguilarChair of Cognitive Science, ETH Zürich, Zürich, Switzerland.

Funding

Schweizerischer Nationalfonds zur F &rderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) P500PT_206932
6 · The paper itself

Abstract

In this paper, we explore the mutual effect of prior background expectations and visibility afforded by the 3D configuration of the physical environment on wayfinding efficiency and strategy in multilevel buildings. We perform new analyses on data from 149 participants who performed six unaided and directed wayfinding tasks in virtual buildings with varying degrees of visibility. Our findings reveal that the interaction between visibility and prior background expectations significantly affects wayfinding efficiency and strategy during between-floor wayfinding tasks. We termed this interaction effect strategic visibility, which emphasizes the importance of the strategic allocation of visibility towards actionable building elements in promoting efficient wayfinding and shaping wayfinding strategy. Our study highlights the significance of strategic visibility in promoting inclusive and accessible built environments for neurodiversity. Finally, we provide an open-source dataset that can be used to develop and test new wayfinding theories and models to advance research in the emerging field of human-building interaction.

Identifiers

PMID38355942
PMCPMC10866884

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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.