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)
|
Text
214044.pdf - Accepted Version 796kB |
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 |
| Related URLs: |
University Staff: Request a correction | Enlighten Editors: Update this record
Funder and Project Information
Funder and Project Information