Chiara Bassetti

Institute of Cognitive Sciences and Technologies, University of Trento

Papers

Total Citations

154

H-Index

About

Chiara Bassetti is a leading researcher at the intersection of social robotics, computer vision, and human-computer interaction, with a core focus on developing socially competent and culturally adaptive artificial agents. Her most influential work, "F-Formation Detection: Individuating Free-Standing Conversational Groups in Images" (2015, 152 citations), provides a rigorous, socially-grounded definition of group interaction—drawing from social science theory to enable machines to detect free-standing conversational groups in images. This foundational contribution has proven critical for applications in video-surveillance and social robotics, bridging the gap between computational models and real-world social dynamics. More recently, Bassetti has advanced the field by exploring how robots can distinguish between expressive and functional orders during human-robot interaction, as outlined in her 2022 work "Towards socially-competent and culturally-adaptive artificial agents." Her research not only pushes the technical boundaries of autonomous systems but also emphasizes the importance of embedding cultural and social norms into artificial intelligence. With a career dedicated to making robots more intuitive and context-aware, Bassetti’s work is essential reading for students and researchers interested in the future of human-robot collaboration and socially intelligent technology.