Papers
6
Total Citations
146
H-Index
5
About
Isabelle Hupont is a leading researcher in human-robot interaction (HRI), with a primary focus on how humans perceive and engage with artificial agents. Her work bridges cognitive science, computer vision, and social robotics to understand the subtle dynamics of human-robot communication. Hupont’s most impactful contribution is her pioneering work on the automatic analysis of engagement in triadic human-human-robot interactions, where she demonstrated that personality profiles can predict engagement levels—a finding with 109 citations that has shaped adaptive robot design. She has also made significant strides in understanding emotional attribution, showing that embodiment features and social traits critically influence how humans perceive emotions in robots. Her studies on facial mimicry, using computer vision-based measures, reveal that both the robot’s physical form and the task’s goal affect spontaneous imitation, challenging assumptions about social bonding with artificial agents. Hupont’s work has practical implications for assistive technologies, as seen in the ASSESSTRONIC project, which applies her insights to geriatric care. Her research, cited over 140 times, is essential reading for anyone interested in designing socially intelligent robots that can genuinely connect with people.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Exploring the Link between Self-assessed Mimicry and Embodiment in HRI7 citations · 2017
- 6