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Representation of shared surface information and false memory for abstract versus concrete pictures in the conjoint recognition paradigm

Bibliographic Data

ID21533164
AuthorsMarek Nieznański (0000-0002-2457-3909, Institute of Psychology, corresponding author), Daria Ford, Daria Niedziałkowska (0000-0002-5549-5739, Institute of Psychology), Michał Obidziński (0000-0002-7854-3123, Institute of Psychology)
Year2024
Volume88
Issue3
Pages950-973
Publication date2024-04-01
Open AccessYes
TypeARTICLE
VenuePsychological Research (JOURNAL)
Journal identifiersISSN: 0340-0727 • E-ISSN: 1430-2772
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00426-023-01899-5
PMID38095739
OpenAlexW4389741731
LanguageEN
Citations received1
References cited62

An effective factor by which false memories can arise is relatedness which includes not only semantic associations but also perceptual resemblance. This issue raises questions about how patterns of perceptual features are represented in memory and how they relate to semantic representations. In five experiments, we investigated the memory processes underlying the false recognition of perceptually or semantically related pictures from the perspective of fuzzy trace theory. Multinomial processing tree model analyses for the conjoint recognition paradigm showed that the parameter representing gist trace retrieval not only contributes to false acceptances of semantically related pictures, but also underlies the false recognition of non-semantically related abstract shapes. These results challenged the hypothesis that the false recognition of non-semantically related distractors is solely due to interference with the verbatim suppression process. These experiments also showed that adding a surface feature (colour) to the category exemplars increases false recognition of related distractors by enhancing the contribution of the familiarity process, but only for pictures of real objects. Comparisons between experiments showed that different variants of the conjoint recognition model, used to analyse the effects of the same experimental manipulation, can lead to partially different conclusions

Cognition · Cognitive psychology · Linguistics · Natural language processing · Perception · Recognition memory · Computer Science · Face Recognition and Perception · Memory Processes and Influences · Psychology · Visual Attention and Saliency Detection · Artificial Intelligence

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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