Leslie Guillaume

Université Grenoble Alpes

Papers

1

Total Citations

7

H-Index

1

About

Leslie Guillaume is a researcher in human-robot interaction (HRI), with a particular focus on gesture-based communication and ecological experimental design. Her most cited work, "HRI in an ecological dynamic experiment: The GEE corpus based approach for the Emox robot" (2015, 7 citations), introduces a novel methodology for collecting spontaneous gestural data using a Wizard of Oz paradigm embedded in an IQ game-like scenario. This approach, part of the GEE corpus project, was designed to develop a gesture recognition system for a smart home butler robot, emphasizing natural, unscripted interaction. Guillaume’s contributions lie in bridging the gap between controlled laboratory studies and real-world HRI by prioritizing ecological validity. Her work is notable for its innovative use of playful tasks to elicit authentic user behavior, offering a replicable framework for gesture-based interface design. While her citation count is modest, her research provides foundational insights for researchers exploring non-verbal communication in assistive robotics. Guillaume’s emphasis on dynamic, user-centered experimentation continues to inform the development of more intuitive and responsive robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
HRI in an ecological dynamic experiment: The GEE corpus based approach for the Emox robot
7 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Université Grenoble Alpes

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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