ArticleMemory & cognition2025
Congruency effects and individual differences in masked face recognition under limited feature visibility.
Article in Memory & cognition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Masked and elusive: congruency fails in video-to-photo face matching.Cognitive research: principles and implications · 2026Article
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Authors and funding
3 authors.
Funding
Abstract
Recognizing masked faces is a challenge. Researchers have explored congruency-based approaches to improve face matching, with promising results. Here, we investigated whether congruency between the encoding and the retrieval conditions can improve masked face recognition when only the eyes are visible under conditions of high and low memory load. Additionally, we explored whether the advantage of congruency varied as a function of general face recognition ability. In three experiments (total N = 316), participants completed a face recognition task that manipulated the congruency between encoding and retrieval conditions. In congruent sets, the images featured either a full face or a partial face at encoding, paired with a full or partial face, respectively, at retrieval. In incongruent sets, the images paired a full face at encoding with a partial face at retrieval or a partial face at encoding with a full face at retrieval. The Cambridge Face Memory Test served as a measure of general face recognition ability. The results supported the hypothesis that contextual congruency improves face recognition (η
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.