Best Late-Breaking Result Paper at UMAP 2024

The paper “A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems, received the best late breaking results paper award at the UMAP 2024 conference.

The article investigates the relations between self and peer evaluations of personality, and between the Five Factors Model and the Conflict Resolution Styles of an individual. Congratulations to the authors: Francesco Barile, Federico Maria Cau, and Nava Tintarev

Federico Maria Cau
Federico Maria Cau
Post-doc Researcher

My research interests include Intelligent User Interfaces, eXplainable AI and Human-Computer Interaction.