Paper Info
Title
Input precision for gaze-based graphical passwords
Abstract
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.
Year
DOI
Venue
2010
10.1145/1753846.1754139
CHI Extended Abstracts
Keywords
Field
DocType
password entry,nearest-neighbour gaze-point aggregation algorithm,gaze-based graphical password,cued gaze-points,recording user,text-based password,graphical password system,1-point calibration,eye-gaze password input,system usability,input precision,click-based graphical password,eye tracking,eye gaze
Gaze,Computer science,Usability,Login,Cued speech,Eye tracking,Human–computer interaction,Password,Cognitive password
Conference
Citations 
PageRank 
References 
3
0.46
9
Authors
3
Name
Order
Citations
PageRank
Alain Forget138320.53
Sonia Chiasson291958.49
Robert Biddle352845.50