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That person is now with or without a mask: how encoding context modulates identity recognition
Teresa Garcia-Marques1, Manuel Oliveira2, Ludmila Nunes3
1ISPA - Instituto Universitário, William James Center for Research, Rua Jardim do Tabaco, 34, 1149-041, Lisbon, Portugal. gmarques@ispa.pt.
Cognitive Research: Principles and Implications
|April 1, 2022
Summary
Masks impair face identification by interfering with memory mechanisms. Expectations about mask presence at test can influence encoding strategies, impacting recognition accuracy.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human Perception
Background:
- Face recognition research traditionally emphasizes perception, yet memory mechanisms are also crucial.
- The impact of masks on memory-based face identification, particularly the encoding-recognition interplay, requires further investigation.
Purpose of the Study:
- To investigate how mask presence affects memory mechanisms in face recognition.
- To examine the influence of matching study/test conditions and testing expectations on mask interference.
- To understand the dynamic interplay between encoding and recognition processes under masked conditions.
Main Methods:
- Three experiments employed a yes/no recognition paradigm with orthogonal manipulation of mask presence at study and test phases.
- Investigated matching effects (mask presence at study vs. test) and testing expectation effects.
- Analyzed recognition accuracy and response criteria for masked and unmasked faces.
Main Results:
- No evidence for matching effects was found across experiments.
- Masks at study or test impaired identification in Experiment 1; only masks at test impaired identification in Experiments 2 and 3.
- Participants exhibited more liberal response criteria when identifying masked faces at test.
Conclusions:
- Memory is an active discrimination process where expectations influence encoding strategies.
- Test expectations can help overcome perceptual deficits caused by masks, improving face identification.
- Future research should consider memory mechanisms and encoding strategies to understand mask-based face recognition.
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