Automated face recognition assists with low‐prevalence face identity mismatches but can bias users.

We present three experiments to study the effects of giving information about the decision of an automated face recognition (AFR) system to participants attempting to decide whether two face images show the same person. We make three contributions designed to make our results applicable to real‐word...

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Bibliographic Details
Published in:	British Journal of Psychology Vol. 117; no. 2; pp. 567 - 585
Main Authors:	Mueller, Melina, Hancock, Peter J. B., Cunningham, Emily K., Watt, Roger J., Carragher, Daniel, Bobak, Anna K.
Format:	Article
Published:	Wiley-Blackwell May2026
Subjects:	Artificial intelligence Decision making Analysis of variance Pearson correlation (Statistics) T-test (Statistics) Data analysis Research funding Questionnaires Descriptive statistics Research bias Artificial neural networks Statistics Data analysis software Confidence intervals Face perception User interfaces Regression analysis
Online Access:	View this record in EBSCOhost

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