Users

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

Research regarding spans various fields, primarily focusing on user-centered design, behavior, privacy, and engagement. Notable papers and research areas include: User Experience & Personas : Provides a historical overview of how AI

: Explores the use of personas specifically for library user experiences to better understand diverse audience characteristics and goals. Privacy & Behavior primarily focusing on user-centered design

: 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. : Provides a historical overview of how AI