Inge M. Hootsmans
Eindhoven University of Technology, Association for Computing Machinery
Papers
5
Total Citations
22
H-Index
3
About
Inge M. Hootsmans is a pioneering researcher in Human-Robot Interaction (HRI), specializing in affective-aware robotics and reinforcement learning for social agents. Her work centers on designing interactive systems that enable robots to recognize, model, and respond to human emotions during competitive and collaborative tasks. Hootsmans’ most significant contribution is the development of the *Chef’s Hat* card game platform, a novel HRI scenario that facilitates the observation and modeling of affective interactions. Through iterative design, she created both a physical game and a simulation environment (the *Chef’s Hat Simulation Environment*) for training reinforcement-learning-based agents, bridging the gap between Wizard-of-Oz studies and fully autonomous social robots. Her research on personalized reinforcement learning, introduced alongside the COPPER framework, advances the field by enabling robots to adapt their behavior to individual users. Additionally, Hootsmans has explored improving robots’ emotional expression recognition using human-derived regions of interest, aiming to match human-level perception. With over 20 citations across her key works, her research lays critical groundwork for developing socially intelligent robots capable of natural, emotionally resonant interactions.
Research Focus
Key Achievements
Top Papers
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