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About

Boris Trouvain is a human-robot interaction researcher whose work has made significant contributions to the design, evaluation, and optimization of interfaces for semi-autonomous multi-robot systems. His research focuses on multi-robot supervisory control, multimodal human-machine interfaces, and operator performance in complex, real-time environments — areas of critical importance for applications in hazardous and remote settings. Trouvain's most influential contributions center on understanding how human operators can effectively monitor and command multiple robots simultaneously. His 2003 evaluation of multi-robot control and monitoring performance (29 citations) and his 2004 comparative study of map- versus camera-based interfaces (27 citations) established foundational insights into interface design trade-offs. He has also explored innovative interaction modalities, including laser pointer and speech integration (2002), binaural audio displays, and context-switch indicators that help operators manage cognitive load when shifting attention between robots. A recurring theme across his body of work is the empirical, user-centered approach to interface development — conducting controlled experiments to rigorously assess how display choices and interaction methods affect operator efficiency. With over 110 cumulative citations, Trouvain's research remains a valuable reference for students and practitioners working at the intersection of robotics, human factors, and interface design.