Arianna Curioni

About

Arianna Curioni is a leading researcher in the cognitive science of joint action, with a particular focus on the mechanisms that enable seamless collaboration between humans and robots. Her work bridges experimental psychology, human-robot interaction, and ergonomics, exploring how humans coordinate, adapt, and entrain with both human and artificial partners. Curioni’s most influential contributions include a foundational model for human-robot interaction grounded in the principles of human joint action, which has garnered over 36 citations across its two key publications (2017, 2018). She has also advanced understanding of how robotic expertise and task knowledge affect physical ergonomics and joint efficiency in collaborative settings, with recent work (2023) addressing the critical gap between robot programmers and end-users in small and medium enterprises. Her research is notable for its practical implications, aiming to improve operator well-being and productivity in real-world manufacturing environments. Curioni’s work is essential reading for anyone interested in the cognitive and physical underpinnings of human-robot collaboration, offering a rigorous, empirically grounded framework for designing more intuitive and effective robotic partners.

Research Focus

Key Achievements

Top Papers

1. 1
   Joint Action in Humans: A Model for Human-Robot Interactions

   20 citations · 2017
2. 2
   Joint Action in Humans: A Model for Human-Robot Interaction

   16 citations · 2018
3. 3
   Joint Action, Adaptation, and Entrainment in Human-Robot Interaction

   3 citations · 2022
4. 4
   Effects of Robotic Expertise and Task Knowledge on Physical Ergonomics and Joint Efficiency in a Human-Robot Collaboration Task

   3 citations · 2023

Key Collaborators

Contact & Links