'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.
“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
It has been observed that people do not always rely on a coherent Euclidean map for navigation.
“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
The regionalization of space provides an efficient heuristic for planning actions in spatial navigation.
“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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Your Way Your Missions: A Location-Aware Pervasive Game Exploiting the Routes of Players
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Self-citationImportance of Path Planning Variability: A Simulation Study
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- 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
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Physical Sciences › Engineering › Building and Construction › Urban Design and Spatial Analysis
- Keywords
- route planning, spatial navigation, spatial memory, virtual worlds
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