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Cited by 330

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Situation models, mental simulations, and abstract concepts in discourse comprehension

Open access
Zwaan, Rolf A.·2016·Psychonomic Bulletin & Review

Abstract

This article sets out to examine the role of symbolic and sensorimotor representations in discourse comprehension. It starts out with a review of the literature on situation models, showing how mental representations are constrained by linguistic and situational factors. These ideas are then extended to more explicitly include sensorimotor representations. Following Zwaan and Madden (2005), the author argues that sensorimotor and symbolic representations mutually constrain each other in discourse comprehension. These ideas are then developed further to propose two roles for abstract concepts in discourse comprehension. It is argued that they serve as pointers in memory, used (1) cataphorically to integrate upcoming information into a sensorimotor simulation, or (2) anaphorically integrate previously presented information into a sensorimotor simulation. In either case, the sensorimotor representation is a specific instantiation of the abstract concept.

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Metadata

Authors
Zwaan, R. A.
Venue
Psychonomic Bulletin & Review
Published
2015-06-19
Volume
23
Issue
4
Pages
1028-1034
ISSN
  • 1069-9384 (ISSN-L)
  • 1531-5320
OpenAlex
W560289989
Cited by
330
References
59
FWCI
16.02
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Situation models, mental simulations, and abstract concepts in discourse comprehension. https://app.cochat.ai/papers/10.3758/s13423-015-0864-x
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Zwaan, R. A. (2016). Situation models, mental simulations, and abstract concepts in discourse comprehension. Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-015-0864-x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.