Deep distortions in faces and places

Deep distortions occur when a person remembers multiple incompatible reality states as true, producing logical impossibilities. Those impossibilities include violations of basic logical principles such as additivity, countable additivity, and universal event. Previously, deep distortions have been detected in experiments using word lists and using real-world facts. We report two experiments in which we extend these findings to realistic pictures that figure prominently in legal cases. In Experiment 1, we presented participants with images of celebrity faces and asked them true or false questions about their identities, which were either conventional probes (e.g., "This is Alexander Hamilton") or disjunctive probes (e.g., "This is Alexander Hamilton or James Madison"). In Experiment 2, we presented participants with images of locations around their local community, which were also paired with true or false probes about the identity of the locations that were either conventional probes (e.g., "This is Mann Library") or disjunctive probes (e.g., "This is Uris Library or Mann Library"). In both experiments we found violations of additivity, countable additivity, and universal event. We also found that the incompatible identities of the faces and locations were not compensatory (i.e., as the acceptance rates for one incompatible identity increased, the acceptance rates for the other incompatible identities did not decrease). Additionally, we conducted conjoint recognition analyses and found that deep distortions were rooted in gist memory rather than verbatim memory. Overall, these finding suggest that deep distortions are also stimulated by realistic images that are highly relevant to legal cases.

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Publication Details

Journal
Memory & Cognition
Published
2025-11-05
DOI
https://doi.org/10.3758/s13421-025-01805-x
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
0.00

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article

Deep distortions in faces and places

C. J. Brainerd, D. M. Bialer
Memory & Cognition
Face Recognition and Perception
article

Deep distortions in faces and places

C. J. Brainerd, D. M. Bialer
article en

Abstract

Deep distortions occur when a person remembers multiple incompatible reality states as true, producing logical impossibilities. Those impossibilities include violations of basic logical principles such as additivity, countable additivity, and universal event. Previously, deep distortions have been detected in experiments using word lists and using real-world facts. We report two experiments in which we extend these findings to realistic pictures that figure prominently in legal cases. In Experiment 1, we presented participants with images of celebrity faces and asked them true or false questions about their identities, which were either conventional probes (e.g., "This is Alexander Hamilton") or disjunctive probes (e.g., "This is Alexander Hamilton or James Madison"). In Experiment 2, we presented participants with images of locations around their local community, which were also paired with true or false probes about the identity of the locations that were either conventional probes (e.g., "This is Mann Library") or disjunctive probes (e.g., "This is Uris Library or Mann Library"). In both experiments we found violations of additivity, countable additivity, and universal event. We also found that the incompatible identities of the faces and locations were not compensatory (i.e., as the acceptance rates for one incompatible identity increased, the acceptance rates for the other incompatible identities did not decrease). Additionally, we conducted conjoint recognition analyses and found that deep distortions were rooted in gist memory rather than verbatim memory. Overall, these finding suggest that deep distortions are also stimulated by realistic images that are highly relevant to legal cases.

Memory & Cognition
Cornell University (US), University of Arkansas at Fayetteville (US)
U.S. Department of Agriculture
Openalex Percentile: Top 67%
Face Recognition and Perception
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