Stable individual differences in unfamiliar face identification: Evidence from simultaneous and sequential matching tasks-Reference-Cited by-同舟云学术

Stable individual differences in unfamiliar face identification: Evidence from simultaneous and sequential matching tasks

Published:2023-03 Issue: Volume:232 Page:105333
ISSN:0010-0277
Container-title:Cognition
language:en
Short-container-title:Cognition

Author:

Baker K.A.,Stabile V.J.,Mondloch C.J.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Linguistics and Language,Developmental and Educational Psychology,Language and Linguistics,Experimental and Cognitive Psychology

Reference125 articles.

1. The effect of feedback on face-matching accuracy;Alenezi;Applied Cognitive Psychology,2013

2. Event-related potentials reveal the development of stable face representations from natural variability;Andrews;Quarterly Journal of Experimental Psychology,2017

3. Telling faces together: Learning new faces through exposure to multiple instances;Andrews;Quarterly Journal of Experimental Psychology,2015

4. How does a newly encountered face become familiar? The effect of within-person variability on adults’ and children’s perception of identity;Baker;Cognition,2017

5. Two sides of face learning: Improving between-identity discrimination while tolerating more within-person variability in appearance;Baker;Perception,2019

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Crowds Improve Human Detection of AI‐Synthesised Faces;Applied Cognitive Psychology;2024-09

2. Collective behaviors of fractional-order FithzHugh–Nagumo network;Physica A: Statistical Mechanics and its Applications;2024-04

3. Multiple images captured from a single encounter do not promote face learning;Perception;2024-03-07

4. Criterion shifting in an unfamiliar face-matching task: Effects of base rates, payoffs, and perceptual discriminability.;Journal of Applied Research in Memory and Cognition;2024-02-01

5. Data-driven studies in face identity processing rely on the quality of the tests and data sets;Cortex;2023-09