2014 | OriginalPaper | Buchkapitel
A Personalization Method Based on Human Factors for Improving Usability of User Authentication Tasks
verfasst von : Marios Belk, Panagiotis Germanakos, Christos Fidas, George Samaras
Erschienen in: User Modeling, Adaptation, and Personalization
Verlag: Springer International Publishing
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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.