Users -

: 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 position paper proposing a unified framework to measure and explain user engagement across different platforms.

: 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

: Analyzes how people utilize ChatGPT for retrieving information versus generating content. Engagement & Cyber Security

: 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 : Analyzes how people utilize ChatGPT for retrieving

: A NIST research document that challenges the "users are the weakest link" narrative in security, focusing instead on "security fatigue" and usability challenges.

: Explores the use of personas specifically for library user experiences to better understand diverse audience characteristics and goals. Privacy & Behavior : Explores the use of personas specifically for

: Provides a historical overview of how AI systems—like Recommender Systems—construct user representations from interaction data.