Investigating privacy perceptions and subjective acceptance of eye tracking on handheld mobile devices

Alsakar, N., Abdrabou, Y., Stumpf, S. and Khamis, M. (2023) Investigating privacy perceptions and subjective acceptance of eye tracking on handheld mobile devices. Proceedings of the ACM on Human-Computer Interaction, 7(ETRA), 164. (doi: 10.1145/3591133)

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Abstract

Although eye tracking brings many benefits to users of mobile devices and developers of mobile applications, it poses significant privacy risks to both: the users of mobile devices, and the bystanders that surround users, are within the front-facing camera's field of view. Recent research demonstrates that tracking an individual's gaze reveals personal and sensitive information. This paper presents an investigation of the privacy perceptions and the subjective acceptance of users towards eye tracking on handheld mobile devices. In a four-phase user study (N=17), participants used a smartphone eye tracking app, were interviewed before and after viewing a video showing the amount of sensitive and personal data that could be derived from eye movements, and had their privacy concerns measured. Our findings 1) show factors that influence users' and bystanders' attitudes toward eye tracking on mobile devices such as the algorithms' transparency and the developers' credibility and 2) support designing mechanisms to allow for privacy-aware eye tracking solutions on mobile-devices.

Item Type:Articles
Additional Information:This work was supported by Imam Abdulrahman Bin Faisal University (IAU) award no. 5380 and the Royal Society of Edinburgh (RSE award no. 1931).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Alsakar, Noora and Khamis, Dr Mohamed and Stumpf, Dr Simone
Authors: Alsakar, N., Abdrabou, Y., Stumpf, S., and Khamis, M.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Proceedings of the ACM on Human-Computer Interaction
Publisher:Association for Computing Machinery (ACM)
ISSN:2573-0142
ISSN (Online):2573-0142
Copyright Holders:Copyright © 2023 The Authors
First Published:First published in Proceedings of the ACM on Human-Computer Interaction 7(ETRA): 164
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
315843EyeSec: Eye Tracking in Security ApplicationsMohamed KhamisThe Royal Society of Edinburgh (ROYSOCED)1931Computing Science