Maxence Girard-Rivier
Papers
1
Total Citations
7
H-Index
1
About
Maxence Girard-Rivier is a researcher whose work lies at the intersection of human-robot interaction (HRI), gesture recognition, and ecological experimental design. His most cited study, "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 and imitative gestures in a smart home context. By employing a Wizard of Oz paradigm with an IQ game-like setup, Girard-Rivier developed the GEE corpus, a dataset that captures natural, unscripted human gestures for training gesture recognition systems. This contribution is pivotal for advancing the Emox robot’s ability to interpret non-verbal communication, moving beyond constrained lab settings to more realistic, dynamic environments. His work emphasizes ecological validity, ensuring that robotic systems can respond to the fluid, unpredictable nature of human interaction. While his citation count reflects a niche but growing field, Girard-Rivier’s focus on ecologically grounded HRI experiments offers a critical framework for designing socially aware robots, making his research a foundational reference for scholars exploring gesture-based interfaces in assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1