The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
'Fine-to-Coarse' Route Planning and Navigation in Regionalized Environments
Abstract
Environments that are divided into regions lead to hierarchical encoding of space. Such memory structures are known to systematically distort estimates of distance and direction and affect spatial priming and memory recall. Here we present two navigation experiments in virtual environments that reveal an influence of environmental regions on human route planning and navigation behaviour. Following the hierarchical theories of spatial representations, it is argued that environmental regions are explicitly represented in spatial memory and that human route planning takes into account region-connectivity and is not based on place-connectivity alone. We also propose a fine-to-coarse planning heuristic that could account for the empirical data by planning in a representation that uses fine-space information for close locations and coarse-space information for distant locations simultaneously.
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“Path planning would be particularly difficult for long distances on a sphere if participants use local planar maps, because planning a route across multiple regions could be more difficult than planning within a region (Montello & Pick, 1993; Wiener & Mallot, 2003).”
From Cognitive Maps for a Non-Euclidean Environment: Path Integration and Spatial Memory on a Sphere (2024) · cites this paper as Wiener & Mallot, 2003
In the citing paper
“However, it has been observed that people do not always rely on a coherent Euclidean map for navigation.”
From Cognitive Maps for a Non-Euclidean Environment: Path Integration and Spatial Memory on a Sphere (2024) · cites this paper as Wiener & Mallot, 2003
In the citing paper
“The regionalization of space provides an efficient heuristic for planning actions in spatial navigation 29,131,159,205,206 , and computational models are particularly useful in understanding the correlations between physical regions and substructures, and their representations in the brain.”
From From cognitive maps to spatial schemas (2023) · cites this paper as [206]
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Metadata
- Authors
- Wiener, J. M., & Mallot, H. A.
- Affiliations
- Max Planck Society (DE)
- Venue
- Spatial Cognition & Computation
- Publisher
- Informa UK Limited
- Published
- 2003-12
- Volume
- 3
- Issue
- 4
- Pages
- 331-358
- ISSN
- 1387-5868 (ISSN-L)
- 1542-7633
- OpenAlex
- W2103359390
- Cited by
- 197
- References
- 35
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 10 · 2023: 5 · 2022: 9 · 2021: 10 · 2020: 12 · 2019: 5 · 2018: 8 · 2017: 14 · 2016: 10 · 2015: 10 · 2014: 8 · 2013: 8 · 2012: 9
- FWCI
- 13.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Spatial Cognition and Computation (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Urban Studies › Urban Design and Spatial Analysis
- Keywords
- route planning, spatial navigation, spatial memory, virtual worlds
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 ›
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