On the Accuracy of Eye Gaze-driven Classifiers for Predicting Image Content Familiarity in Graphical Passwords

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Authors: Argyris Constantinides, Marios Belk, Christos Fidas, Andreas Pitsillides

Journal title: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization - UMAP '19

Journal publisher: ACM Press

Published year: 2019

Published pages: 201-205

DOI identifier: 10.1145/3320435.3320474

ISBN: 9781450360210