Papers
109
Total Citations
3,698
H-Index
31
About
Mark A. Neerincx is a prominent researcher whose work sits at the intersection of human-robot interaction, social robotics, and health technology. His contributions have fundamentally shaped how we design and evaluate robots that engage meaningfully with human users across the lifespan, with particular depth in child-robot interaction and long-term therapeutic applications. Neerincx's most impactful work explores how robots can build and sustain authentic social bonds, earning nearly 400 citations for his foundational theorizing on trust calibration in human-robot teams. His involvement in the ALIZ-E project produced influential frameworks for adaptive, multimodal child-robot interaction, with several papers from that collaboration exceeding 100–200 citations. A recurring thread in his research is the deployment of social robots as personalized health educators — notably for children managing type 1 diabetes — demonstrating that robots can go beyond novelty to deliver measurable therapeutic value. His exploration of adaptive emotional expression, persuasive robotic behavior for older adults, and multi-activity engagement strategies reveals a researcher deeply committed to making robots socially intelligent over extended interactions. More recently, his roadmap for music technology and well-being signals an expanding interdisciplinary vision. Collectively, Neerincx's work has helped establish social robotics as a rigorous, human-centered discipline.
Research Focus
Key Achievements
Top Papers
- 1Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams399 citations · 2019
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- 3Multimodal Child-Robot Interaction: Building Social Bonds206 citations · 2013
- 4Child-Robot Interaction: Perspectives and Challenges159 citations · 2013
- 5Adaptive emotional expression in robot-child interaction141 citations · 2014
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- 7Proceedings of the 15th IEEE International Symposium on Robot and Human Interactive Communication112 citations · 2006
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