Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
Reducing shoulder-surfing by using gaze-based password entry
Proceedings of the 3rd symposium on Usable privacy and security
Improving the accuracy of gaze input for interaction
Proceedings of the 2008 symposium on Eye tracking research & applications
Eyepass - eye-stroke authentication for public terminals
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Centered discretization with application to graphical passwords (full paper)
UPSEC'08 Proceedings of the 1st Conference on Usability, Psychology, and Security
A Fitts Law comparison of eye tracking and manual input in the selection of visual targets
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Look into my eyes!: can you guess my password?
Proceedings of the 5th Symposium on Usable Privacy and Security
Shoulder-surfing resistance with eye-gaze entry in cued-recall graphical passwords
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Graphical password authentication using cued click points
ESORICS'07 Proceedings of the 12th European conference on Research in Computer Security
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Click-based graphical passwords have been proposed as alternatives to text-based passwords, despite being potentially vulnerable to shoulder-surfing, where an attacker can learn passwords by watching or recording users as they log in. Cued Gaze-Points (CGP) is a graphical password system which defends against such attacks by using eye-gaze password input, instead of mouse-clicks. A first user study revealed that CGP's unique use of eye tracking required special techniques to improve gaze precision. In this paper, we present two enhancements that we developed and tested: a nearest-neighbour gaze-point aggregation algorithm and a 1-point calibration before each password entry. We found that these enhancements made a substantial improvement to users' gaze accuracy and system usability.