Influence of picture variability on face-learning
Autor: | Bobak, Anna, Hilker, Zoe |
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Rok vydání: | 2022 |
DOI: | 10.17605/osf.io/9g2hx |
Popis: | Learning of previously unknown identities through face-pictures in low or high variability condition: In this study, participants learn faces in one of two randomly to the identity assigned condition, either high or low variability. In a speeded name verification task they are then tested on what they learned. |
Databáze: | OpenAIRE |
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