Armelle Prigent

Papers

Total Citations

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About

Armelle Prigent is a researcher at the forefront of human-robot interaction (HRI), with a specialized focus on deploying autonomous systems in cultural heritage settings. Her work bridges robotics, serious gaming, and visitor engagement, exploring how robots like the humanoid Nao can transform museum experiences. In her most cited paper, "A Dynamic Scenario by Remote Supervision: A Serious Game in the Museum with a Nao Robot" (2018, 9 citations), Prigent pioneered a framework for remote supervision of interactive robotic guides, blending structured gameplay with real-time human oversight to ensure both engagement and reliability. Her earlier foundational work, "CITE – Content Interaction Time and spacE" (2017, 4 citations), introduced a hybrid model for modeling robot-human interactions in museums and theaters. This model carefully balances content delivery, interaction timing, and spatial dynamics, ensuring that robotic interventions enhance—rather than disrupt—the visitor’s informational experience. Though her citation counts are modest, Prigent’s contributions are notable for their practical, design-oriented approach to a challenging domain: deploying social robots in sensitive, public-facing environments where user experience and information integrity are paramount. Her research offers a valuable blueprint for integrating robotics into cultural spaces.