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)
Text
296890.pdf - Accepted Version 927kB |
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 |
Related URLs: |
University Staff: Request a correction | Enlighten Editors: Update this record