About

Lucien Tisserand is a rising scholar in Human-Robot Interaction (HRI), whose work focuses on the nuanced dynamics of communication breakdowns between humans and robots. His research centers on understanding and addressing sequential failures, miscommunication, and preference negotiation in real-time interactions, drawing heavily on conversation analysis to inform robotic design. Tisserand’s major contributions include organizing interdisciplinary workshops that bridge technology-oriented researchers and social scientists, as exemplified by his 2023 workshop report on “Working with troubles and failures in conversation between humans and robots” (6 citations). His 2024 study on “Rejecting a robot’s offer: An analysis of preference” (5 citations) explores how users navigate unclear service robot purposes, while “Unraveling the thread: understanding and addressing sequential failures in human-robot interaction” (4 citations) tackles the challenge of maintaining coherent dialogue when expectations are violated. Though early in his career, Tisserand’s work is already shaping how roboticists design more adaptive, socially aware systems. His focus on real-time interaction repair and user preference analysis positions him as a key voice in making robots more intuitive and responsive in public and corporate settings—a critical step toward seamless human-robot collaboration.

Research Focus

Key Achievements

3
H-Index
3
Papers
15
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Working with troubles and failures in conversation between humans and robots: workshop report
6 citations · 2023
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: École Normale Supérieure de Lyon, Centre National de la Recherche Scientifique, Université Claude Bernard Lyon 1

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago