Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Publication date | 25/05/2021 |
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Host publication | Proceedings - ETRA 2021: ACM Symposium on Eye Tracking Research and Applications, Full Papers Proceedings |
Editors | Stephen N. Spencer |
Publisher | Association for Computing Machinery (ACM) |
Pages | 1-12 |
Number of pages | 12 |
ISBN (electronic) | 9781450383448 |
<mark>Original language</mark> | English |
Name | Eye Tracking Research and Applications Symposium (ETRA) |
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Volume | PartF169256 |
We investigate the use of gaze behaviour as a means to assess password strength as perceived by users. We contribute to the effort of making users choose passwords that are robust against guessing-attacks. Our particular idea is to consider also the users' understanding of password strength in security mechanisms. We demonstrate how eye tracking can enable this: by analysing people's gaze behaviour during password creation, its strength can be determined. To demonstrate the feasibility of this approach, we present a proof of concept study (N = 15) in which we asked participants to create weak and strong passwords. Our findings reveal that it is possible to estimate password strength from gaze behaviour with an accuracy of 86% using Machine Learning. Thus, we enable research on novel interfaces that consider users' understanding with the ultimate goal of making users choose stronger passwords.