GazeLockPatterns: Comparing Authentication Using Gaze and Touch for Entering Lock Patterns

Abdradou, Y., Pfeuffer, K., Khamis, M. and Alt, F. (2020) GazeLockPatterns: Comparing Authentication Using Gaze and Touch for Entering Lock Patterns. In: Symposium on Eye Tracking Research and Applications (ETRA ’20 Short Papers), Stuttgart, Germany, 2-5 June 2020, ISBN 9781450371346 (doi:10.1145/3379156.3391371)

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Abstract

In this work, we present a comparison between Android’s lock patterns for mobile devices (TouchLockPatterns) and an implementation of lock patterns that uses gaze input (GazeLockPatterns). We report on results of a between subjects study (N=40) to show that for the same layout of authentication interface, people employ comparable strategies for pattern composition. We discuss the pros and cons of adapting lock patterns to gaze-based user interfaces. We conclude by opportunities for future work, such as using data collected during authentication for calibrating eye trackers.

Item Type:Conference Proceedings
Additional Information:This work was supported by the Royal Society of Edinburgh (RSE award number 65040), the Deutsche Forschungsgemeinschaft (DFG) (grant no. 316457582 and 425869382) and the Studienstiftung des deutschen Volkes ("German Academic Scholarship Foundation").
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Khamis, Dr Mohamed
Authors: Abdradou, Y., Pfeuffer, K., Khamis, M., and Alt, F.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781450371346
Copyright Holders:Copyright © 2020 Association for Computing Machinery
First Published:First published in ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications 2020
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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