: Provides a historical overview of how AI systems—like Recommender Systems—construct user representations from interaction data.
: Explores the use of personas specifically for library user experiences to better understand diverse audience characteristics and goals. Privacy & Behavior : Provides a historical overview of how AI
: A position paper proposing a unified framework to measure and explain user engagement across different platforms. Users are not stupid: Six cyber security pitfalls
Users are not stupid: Six cyber security pitfalls overturned : Provides a historical overview of how AI
: 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 systematic literature review analyzing the gap between users' high concern for privacy and their actual behavior, which often includes minimal steps to protect data.
