Regular biography
Pearl Pu is a Senior Scientist at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the CS department. Her research focuses on human computer interaction, user-centric design of intelligence systems, recommender systems, neural generation of empathetic dialogs, emotion-aware intelligent systems, and AI ethics. She teaches courses such as Interaction design (CS-486), which covers goal-directed design and interaction design. Pu has supervised theses of several EPFL students and co-supervised others. She is based in BC 107, EPFL, with contact details available at pearl.pu@epfl.ch and https://people.epfl.ch/pearl.pu.
Scholar-generated biography
Pearl Pu is a senior scientist at EPFL, specializing in recommender systems, human-computer interaction, user experience research, personalization technology, and user modeling. Her work focuses on developing user-centric frameworks for evaluating recommender systems, enhancing trust through explanation interfaces, and exploring social incentives in mobile applications. She has conducted extensive research on preference elicitation methods, personality-based recommendations, and empathetic response intents in human conversations. Her publications address challenges in collaborative filtering, case-based reasoning, and the acceptance of personality-based systems. Pu's research emphasizes the integration of user feedback and emotional analysis to improve recommendation accuracy and user satisfaction.