Abstract
In this paper, we investigate the cognitive process behind graphical password selection by using eye-tracking. The goal of the study is to discover how users perceive and react to graphical authentication during graphical password selection, which is valuable for improving the design concepts in novel authentication mechanisms. As a result, we present the initial results of the study noting cognitive differences based on gender, and we define user profiles for enrolment and authentication processes.
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Mihajlov, M., Jerman-Blazic, B. (2018). Eye Tracking Graphical Passwords. In: Nicholson, D. (eds) Advances in Human Factors in Cybersecurity. AHFE 2017. Advances in Intelligent Systems and Computing, vol 593. Springer, Cham. https://doi.org/10.1007/978-3-319-60585-2_4
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DOI: https://doi.org/10.1007/978-3-319-60585-2_4
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