It is already true that the majority of users' computing experience is a mobile one. Unfortunately that mobile experience is also more risky: users are often multitasking, hurrying or uncomfortable, leading them to make poor decisions. Our goal is to use mobile sensors to predict when users are distracted in these ways, and likely to behave insecurely. We will study this possibility in a series of lab and field experiments.
TEAM
PIs: Benjamin Watson, Will Enck, Anne McLaughlin, Michael Rappa
Modeling the risk of user behavior on mobile devices