How to construct a linguistic landmark: language cues in the formation of hierarchical representations of space
Abstract
The formation of a hierarchical representation of space can be induced by the spatial adjacency of places marked by landmark objects from the same semantic category, as was demonstrated by a route-planning experiment (Wiener and Mallot in Spat Cogn Comput 3(4):331-358, 2003). Using the same paradigm, we tested the efficiency of linguistic cues with various hierarchical categorization principles in regional structuring. In five different conditions, places of the experimental environment were characterized (1) by landmark objects, (2) by arbitrary proper names on region level, (3) by prototypical names on region level, (4) by nouns from different semantic categories, and (5) by groups of nouns with intrinsic whole-part relation. A region effect comparable to the landmark object condition was found only for the whole-part relations, which combine spatial proximity with a shared context. A linguistic analysis revealed a correspondence to the intended regional subdivision only for the cues of this condition.
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The influence of stored knowledge on segmentation of environments into subregions is suggested by studies showing that human spatial representations are prone to systematic biases and may be hierarchically organized, similar to semantic and event knowledge.
“The influence of stored knowledge on segmentation of environments into subregions is suggested by studies showing that human spatial representations are prone to systematic biases 136,137 and may be hierarchically organized, similar to semantic and event knowledge 133,138,139 .”
From From cognitive maps to spatial schemas (2023) · cites this paper as [133]
Navigation planning follows a hierarchical representation of space that consists of a series of contexts that, in humans, is mediated by the dorsomedial PFC.
“Studies of navigation support the idea that navigation planning follows a hierarchical representation of space that consist of a series of contexts that, in humans, is mediated by the dorsomedial PFC 128,133,159,204 .”
From From cognitive maps to spatial schemas (2023) · cites this paper as [133]
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Barsalou, L. W. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093639 · Cited by 5,936 · see citing works
Language, Thought, and Reality.
Halpern, A. M., Whorf, B. L., Carroll, J. B., & Chase, S. (1956) · American Sociological Review · doi:10.2307/2089121 · Cited by 2,856 · see citing works
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Budanitsky, A., & Hirst, G. (2006) · Computational Linguistics · doi:10.1162/coli.2006.32.1.13 · Cited by 1,448 · see citing works
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
Turney, P. D. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44795-4_42 · Cited by 1,305 · see citing works
TextTiling: segmenting text into multi-paragraph subtopic passages
Hearst, M. A. (1997) · Cited by 1,245 · see citing works
Language, Thought, and Reality
(2019) · Catholic University of America Press eBooks · doi:10.2307/j.ctvt9k614.12 · Cited by 840 · see citing works
'Fine-to-Coarse' Route Planning and Navigation in Regionalized Environments
Wiener, J. M., & Mallot, H. A. (2003) · Spatial Cognition & Computation · doi:10.1207/s15427633scc0304_5 · Cited by 197 · see citing works
Self-citationA knowledge representation approach to understanding metaphors
Weiner, E. J. (1984) · OLAC - Open Language Archives Community · Cited by 40 · see citing works
Bailey, S. M. (2008) · OhioLink ETD Center (Ohio Library and Information Network) · Cited by 19 · see citing works
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From cognitive maps to spatial schemas
Farzanfar, D., Spiers, H. J., Moscovitch, M., & Rosenbaum, R. S. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-022-00655-9 · Cited by 115 · see citing works
Sleep enhances knowledge of routes and regions in spatial environments
Noack, H., Schick, W., Mallot, H., & Born, J. (2017) · Learning & Memory · doi:10.1101/lm.043984.116 · Cited by 12 · see citing works
“Patterns of activity in such place cell ensembles during encoding of a spatial maze have been consistently found to be reactivated during slow wave sleep after the encoding experience (Pavlides and Winson 1989; Wilson and McNaughton 1994; Skaggs and McNaughton 1996).”
Self-citationMemory for navigable space is flexible and not restricted to exclusive local or global memory units.
Strickrodt, M., Bülthoff, H., & Meilinger, T. (2018) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000624 · Cited by 11 · see citing works
- Authors
- Schick, W., Halfmann, M., & Mallot, H. A.
- Affiliations
- University of Tübingen (DE)
- Corresponding author
- Schick, Wiebke
- Venue
- Cognitive Processing
- Published
- 2015-08-11
- Volume
- 16
- Issue
- S1
- Pages
- 383-388
- ISSN
- 1612-4782 (ISSN-L)
- 1612-4790
- OpenAlex
- W1152457807
- Cited by
- 3
- References
- 9
- Citations by year
- 2022: 1 · 2018: 1 · 2017: 1
- FWCI
- 0.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Cognitive Processing (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Categorization, perception, and language
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- route planning, spatial categorization, part-whole relations, semantic categories, proper names, spatial adjacency
- MeSH terms
- Adult, Choice Behavior, Cues, Female, Humans, Language, Linguistics, Male, Pattern Recognition, Visual, Space Perception, Young Adult
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