Date of Award
2025
Document Type
Honors Thesis (Open Access)
Department
Colby College. Computer Science Dept.
Advisor(s)
Naser Al Madi
Abstract
Radial authentication interfaces offer privacy-preserving, calibration-free eye-movement authentication. While their effectiveness has been demonstrated on large displays, their performance on smartphones remains underexplored. This study investigates seven radial interface configurations on the iPhone 13, varying the number of radial indicators and password lengths to examine trade-offs between accuracy, security, and entry time. Through a controlled eye-tracking experiment with 27 participants, we evaluate each configuration’s performance and collect user prioritizations of the three factors. Our findings reveal that shorter passwords with fewer indicators improve speed and accuracy but reduce security, while longer configurations enhance security at the cost of usability. Based on both empirical results and user preferences, a configuration with four indicators and a four-digit password provides the optimal balance between these competing criteria.
Keywords
eye-movement, authentication, smartphone, interfaces, security, usability
Recommended Citation
Tuscai, Trey V., "Optimizing Radial Interfaces for Eye-Movement Authentication on Smartphones" (2025). Honors Theses. Paper 1481.https://digitalcommons.colby.edu/honorstheses/1481
