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

: Explores the use of personas specifically for library user experiences to better understand diverse audience characteristics and goals. Privacy & Behavior : A paper presented at USENIX SOUPS that

Users are not stupid: Six cyber security pitfalls overturned

: A position paper proposing a unified framework to measure and explain user engagement across different platforms. : Analyzes how people utilize ChatGPT for retrieving

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