Abstract
The thoughts that come to mind when viewing a face depend partly on the face and partly on the viewer. This basic interaction raises the question of how much common ground there is in face-evoked thoughts, and how this compares to viewers' expectations. Previous analyses have focused on early perceptual stages of face processing. Here we take a more expansive approach that encompasses later associative stages. In Experiment 1 (free association), participants exhibited strong egocentric bias, greatly overestimating the extent to which other people's thoughts resembled their own. In Experiment 2, we show that viewers' familiarity with a face can be decoded from their face-evoked thoughts. In Experiment 3 (person association), participants reported who came to mind when viewing a face—a task that emphasises connections in a social network rather than nodes. Here again, viewers' estimates of common ground exceeded actual common ground by a large margin. We assume that a face elicits much the same thoughts in other people as it does in us, but that is a mistake. In this respect, we are more isolated than we think.
Original language | English |
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Article number | 104955 |
Number of pages | 10 |
Journal | Cognition |
Volume | 218 |
Early online date | 16 Nov 2021 |
DOIs | |
Publication status | Published - 1 Jan 2022 |
Bibliographical note
Funding Information:This work was supported by a British Academy Mid-Career Fellowship to Rob Jenkins.
© 2021 Elsevier B.V. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.
Keywords
- Egocentric bias
- Face perception
- False consensus
- Metacognition
Datasets
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Data to accompany Face-evoked thoughts
Jenkins, R. (Creator) & Zhou, X. (Creator), University of York, 2022
DOI: 10.15124/44ec7776-cda4-431a-a0ac-e03a6c263b7f
Dataset