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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Taking Perspective in Conversation: The Role of Mutual Knowledge in Comprehension

Keysar, Boaz, Barr, Dale J., Balin, Jennifer A., Brauner, Jason S.·2000·Psychological Science

Abstract

When people interpret language, they can reduce the ambiguity of linguistic expressions by using information about perspective: the speaker's, their own, or a shared perspective. In order to investigate the mental processes that underlie such perspective taking, we tracked people's eye movements while they were following instructions to manipulate objects. The eye fixation data in two experiments demonstrate that people do not restrict the search for referents to mutually known objects. Eye movements indicated that addressees considered objects as potential referents even when the speaker could not see those objects, requiring addressees to use mutual knowledge to correct their interpretation. Thus, people occasionally use an egocentric heuristic when they comprehend. We argue that this egocentric heuristic is successful in reducing ambiguity, though it could lead to a systematic error.

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Metadata

Authors
Keysar, B., Barr, D. J., Balin, J. A., & Brauner, J. S.
Venue
Psychological Science
Published
2000-01
Volume
11
Issue
1
Pages
32-38
ISSN
  • 0956-7976 (ISSN-L)
  • 1467-9280
OpenAlex
W2114366548
Cited by
882
References
4
FWCI
45.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Taking Perspective in Conversation: The Role of Mutual Knowledge in Comprehension. https://app.cochat.ai/papers/10.1111/1467-9280.00211
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Keysar, B., Barr, D. J., Balin, J. A., & Brauner, J. S. (2000). Taking Perspective in Conversation: The Role of Mutual Knowledge in Comprehension. Psychological Science. https://doi.org/10.1111/1467-9280.00211

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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.