Users < ORIGINAL - Roundup >

: 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 Berkeley investigating whether past user decisions can predict future responses to location access prompts on mobile apps.

: 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 systematic literature review analyzing the gap

Users are not stupid: Six cyber security pitfalls overturned

: Explores the use of personas specifically for library user experiences to better understand diverse audience characteristics and goals. Privacy & Behavior Users are not stupid: Six cyber security pitfalls

: 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

: Provides a historical overview of how AI systems—like Recommender Systems—construct user representations from interaction data. : A position paper proposing a unified framework

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