Camille Vindolet

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About

Camille Vindolet is a rising researcher in human-robot interaction, with a focused interest in social robotics and the dynamics of trust between humans and machines. Her work centers on the critical challenge of robot personalisation—how autonomous systems can adapt their behaviour to individual users and unpredictable social contexts. Vindolet’s 2023 paper, “Social Robots Personalisation,” lays the groundwork for this inquiry, exploring how robots can tailor their physical, cognitive, and social interactions to diverse human behaviours. Her 2024 review, “On the impact of robot personalization on human-robot interaction,” systematically examines personalisation strategies and their documented effects, offering a comprehensive framework for the field. Most recently, her 2025 scoping review, “Factors Influencing Human Trust Towards Robots,” identifies key determinants of trust, a cornerstone for effective human-robot collaboration. Though early in her career, with papers accumulating citations (totaling 8 across her top works), Vindolet is carving a niche in making robots more responsive and trustworthy. Her contributions are particularly timely as social robots move from labs into homes and workplaces, promising to shape how future generations interact with intelligent machines.