Lena M. Opheij
Design Academy Eindhoven, Eindhoven University of Technology
Papers
5
Total Citations
22
H-Index
3
About
Lena M. Opheij is a researcher at the forefront of affective-aware human-robot interaction (HRI), focusing on how robots can perceive, model, and respond to human emotions during dynamic social exchanges. Her work centers on designing interactive frameworks that move beyond static, Wizard-of-Oz approaches toward truly intelligent, adaptive robotic agents. Opheij’s major contribution is the development of the “Chef’s Hat” card game, a novel HRI testbed that enables the observation and analysis of competitive strategies and affective interactions. She further introduced the COPPER framework for personalized reinforcement learning, allowing robots to tailor their responses based on individual user behavior. Her research has practical implications for creating socially adept robots capable of emotional expression recognition, using regions of interest from human data to improve performance in real-world scenarios. With over 20 combined citations across her most-cited papers, Opheij’s iterative design methodology—from simulation environments to real-world gameplay—provides a scalable platform for training AI-based social agents. Her work is essential reading for students and researchers interested in bridging the gap between reinforcement learning, emotion recognition, and naturalistic HRI.
Research Focus
Key Achievements
Top Papers
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