Evidence map›Paper›PMID 41979401›Full record

ArticleTranslational vision science & technology2026

Spatial Learning in Naturalistic Search With Simulated Vision Loss.

Kirsten Veerkamp, Daniel Müller, Christian N L Olivers, David L Mann

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Article in Translational vision science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Kirsten VeerkampAmsterdam Movement Sciences & Institute for Brain and Behavior Amsterdam, Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Daniel MüllerAmsterdam Movement Sciences & Institute for Brain and Behavior Amsterdam, Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Christian N L OliversInstitute for Brain and Behavior Amsterdam, Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
David L MannAmsterdam Movement Sciences & Institute for Brain and Behavior Amsterdam, Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: In everyday life, we learn to find relevant objects in complex three-dimensional environments. This spatial learning is even more important under conditions of visual impairment. Yet, little is known about how spatial learning and impaired vision interact to shape search behavior in complex naturalistic settings. Here we assessed how spatial learning is used to mitigate the consequences of acute (simulated) central and peripheral vision loss for navigating an everyday three-dimensional environment. Methods: Seventy-five participants were assigned to one of three simulated vision conditions (full vision, central mask, or peripheral mask) and performed multiple searches for products in a virtual reality supermarket. Results: Task completion times and navigational efficiency were affected by reduced vision but improved substantially for repeated product searches. Improvements were more pronounced with simulated vision loss, especially with simulated peripheral loss. Gaze and other orienting behavior also changed with learning, leading to more scanning at the initiation of the search under peripheral loss, and less scanning during the actual search, particularly with central loss. Conclusions: Spatial learning affects visual orienting behavior and aids in compensating for the detrimental consequences of vision loss in everyday search behavior. Translational Relevance: These results emphasize the importance of spatial consistencies in dealing with visual impairments in everyday environments.

Indexed as

Space PerceptionSpatial LearningSpatial NavigationAdultFemaleHumansMaleOrientationVirtual RealityYoung Adult

Identifiers

PMID41979401
PMCPMC13089662

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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.