Influence of picture variability on face-learning

Autor: Bobak, Anna, Hilker, Zoe
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