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]
Citations
Cites
Kuipers, B. J. (1978) · Cognitive Science · doi:10.1207/s15516709cog0202_3 · Cited by 772
Distortions in judged spatial relations
Stevens, A. L., & Coupe, P. (1978) · Cognitive Psychology · doi:10.1016/0010-0285(78)90006-3 · Cited by 739
The Spatial Semantic Hierarchy
Kuipers, B. J. (2000) · Artificial Intelligence · doi:10.1016/s0004-3702(00)00017-5 · Cited by 727
Cognitive maps, cognitive collages, and spatial mental models
Tversky, B. (1993) · Lecture notes in computer science · doi:10.1007/3-540-57207-4_2 · Cited by 664
Evidence of hierarchies in cognitive maps
Hirtle, S. C., & Jonides, J. (1985) · Memory & Cognition · doi:10.3758/bf03197683 · Cited by 655
Visual Navigation in Insects: Coupling of Egocentric and Geocentric Information
Wehner, R., Michel, B., & Antonsen, P. (1996) · Journal of Experimental Biology · doi:10.1242/jeb.199.1.129 · Cited by 634
Journal of Comparative Physiology A
(2013) · Journal of Comparative Physiology A · doi:10.1007/359.1432-1351 · Cited by 618
Mental representations of spatial relations
McNamara, T. P. (1986) · Cognitive Psychology · doi:10.1016/0010-0285(86)90016-2 · Cited by 579
Exploring the anchor-point hypothesis of spatial cognition
Couclelis, H., Golledge, R. G., Gale, N., & Tobler, W. (1987) · Journal of Environmental Psychology · doi:10.1016/s0272-4944(87)80020-8 · Cited by 401
Memory use in insect visual navigation
Collett, T. S., & Collett, M. (2002) · Nature reviews. Neuroscience · doi:10.1038/nrn872 · Cited by 399
Research works printed but not linked: 1
- McNamara T. P., 1989, Memory and Cognition, 15, 227
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Sorted by citations
Wolbers, T., & Büchel, C. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4705-04.2005 · Cited by 301
Wolbers, T., & Wiener, J. M. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00571 · Cited by 260
Self-citationThe dynamic nature of cognition during wayfinding
Spiers, H. J., & Maguire, E. A. (2008) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2008.02.006 · Cited by 232
Interplay of approximate planning strategies
Huys, Q. J. M., Lally, N., Faulkner, P., Eshel, N., Seifritz, E., Gershman, S. J., Dayan, P., & Roiser, J. P. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1414219112 · Cited by 207
A meta-analysis of sex differences in human navigation skills
Nazareth, A., Huang, X., Voyer, D., & Newcombe, N. (2019) · Psychonomic Bulletin & Review · doi:10.3758/s13423-019-01633-6 · Cited by 201
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
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