Abstract
Aiming to ensure safety of operation to application providers and improve the usability of human computer interactions during authentication, this paper proposes a two-step personalization approach of user authentication tasks based on individual differences in cognitive processing as follows: i) recommend a textual or graphical user authentication mechanism based on the users’ cognitive styles of processing textual and graphical information, and ii) recommend a standard or enhanced authentication key strength policy considering the users’ cognitive processing abilities. The proposed approach has been applied in a four month ecological valid user study in which 137 participants interacted with a personalized user authentication mechanism and policy based on their cognitive characteristics. Initial results indicate that personalizing the user authentication task based on human cognitive factors could provide a viable solution for balancing the security and usability of authentication mechanisms at the benefit of both application providers and end-users.
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Belk, M., Germanakos, P., Fidas, C., Samaras, G. (2014). A Personalization Method Based on Human Factors for Improving Usability of User Authentication Tasks. In: Dimitrova, V., Kuflik, T., Chin, D., Ricci, F., Dolog, P., Houben, GJ. (eds) User Modeling, Adaptation, and Personalization. UMAP 2014. Lecture Notes in Computer Science, vol 8538. Springer, Cham. https://doi.org/10.1007/978-3-319-08786-3_2
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DOI: https://doi.org/10.1007/978-3-319-08786-3_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08785-6
Online ISBN: 978-3-319-08786-3
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