: A short paper from researchers at UC Berkeley investigating whether past user decisions can predict future responses to location access prompts on mobile apps.
: A systematic literature review analyzing the gap between users' high concern for privacy and their actual behavior, which often includes minimal steps to protect data. : A short paper from researchers at UC
: A paper presented at USENIX SOUPS that uses static code analysis to help identify privacy profiles for managing permissions based on the actual purpose of data requests. User Modeling & Artificial Intelligence : A short paper from researchers at UC
: This paper investigates how Personas (fictional characterizations of user segments) can be better utilized throughout the software development process to maintain empathy and alignment with user needs. : A short paper from researchers at UC