The Feet in Human-Centred Security: Investigating Foot-Based User Authentication for Public Displays

Watson, K., Bretin, R. , Khamis, M. and Mathis, F. (2022) The Feet in Human-Centred Security: Investigating Foot-Based User Authentication for Public Displays. In: 2022 CHI Conference on Human Factors in Computing Systems (CHI '22), New Orleans, LA, USA, 30 Apr - 05 May 2022, p. 441. ISBN 9781450391566 (doi: 10.1145/3491101.3519838)

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Abstract

A large body of work investigated touch, mid-air, and gaze-based user authentication. However, little is known about authentication using other human body parts. In this paper, we investigate the idea of foot-based user authentication for public displays (e.g., ticket machines). We conducted a user study (N=13) on a virtual prototype, FeetAuth, on which participants use their dominant foot to rotate through PIN elements (0–9) that are augmented along a circular layout using augmented reality (AR) technology. We investigate FeetAuth in combination with three different layouts: Floor-based, Spatial, and Egocentric, finding that Floor-based FeetAuth resulted in the highest usability with 4-digit PIN entry as fast as M=6.71 (SD=0.67). Participants perceived foot-based authentication as socially acceptable and highlighted its accessibility. Our investigation of foot-based authentication paves the way for further studies on the use of the human body for user authentication.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Mathis, Mr Florian and Khamis, Dr Mohamed and Bretin, Robin
Authors: Watson, K., Bretin, R., Khamis, M., and Mathis, F.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781450391566
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in 2022 CHI Conference on Human Factors in Computing Systems (CHI '22): 441
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
303764EPSRC CDT - Socially Intelligent Artificial AgentsAlessandro VinciarelliEngineering and Physical Sciences Research Council (EPSRC)EP/S02266X/1Computing Science
310627TAPS: Assessing, Mitigating and Raising Awareness of the Security and Privacy Risks of Thermal ImagingMohamed KhamisEngineering and Physical Sciences Research Council (EPSRC)EP/V008870/1Computing Science