Empowering Human-Computer Interaction in Securing Smartphone Sensing

Abstract

In this paper, we propose and quantify the usability design of a continuous verification platform on smart mobile devices. The continuous verification platform aims at improving user experience in continuous verification of smartphone users, particularly in non-dedicated smartphone sensing campaigns. To this end, we re-design the mobile behaviometric platform in [1] by introducing enhanced usability features, as well as sustainability measures to prolong battery life of the devices while recruiting the users for non-dedicated sensing campaigns. Furthermore, we extend the continuous verification modules by introducing gesture recognition and a dual mode verification system. Through real time study, we show that the presented framework can achieve continuous verification of users on smart mobile devices by consuming 73% less memory and 46% less storage when compared to its predecessor. Moreover, the proposed framework can significantly reduce the battery drain down to an average percentage of 0.1% while operating with consistency, compliance and extensibility as opposed to its predecessor.