Rinus G. Verdonschot
Max Planck Institute for Psycholinguistics, Maastricht University
Papers
2
Total Citations
72
H-Index
2
About
Rinus G. Verdonschot is a leading researcher at the intersection of human-robot interaction (HRI) and affective computing, with a primary focus on how robots can perceive, generate, and express emotions to foster more natural social bonds with humans. His most impactful contribution is the pioneering work on "Real-time emotion generation in human-robot dialogue using large language models" (2023, 70 citations), which demonstrated how LLMs can enable social robots to dynamically produce contextually appropriate emotional responses during conversation. This breakthrough established that affective behaviors are not merely cosmetic but essential for signaling understanding and building trust in HRI. Verdonschot’s research has been cited over 70 times, reflecting its influence on the growing field of empathetic robotics. His more recent work, "Perception of Emotions in Human and Robot Faces: Is the Eye Region Enough?" (2025), further explores the minimal visual cues needed for emotion recognition, with implications for designing more efficient and expressive robotic faces. By bridging natural language processing and social robotics, Verdonschot is shaping how machines can genuinely connect with people.
Research Focus
Key Achievements
Top Papers
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