Ruben Post

Netherlands Organisation for Applied Scientific Research

Papers

Total Citations

H-Index

About

Ruben Post is a researcher at the forefront of human-machine teaming, with a particular focus on delegation dynamics within these collaborative systems. His work addresses the critical challenge of how humans and autonomous agents can effectively share control and decision-making, a cornerstone for the future of AI-assisted operations. Post’s most-cited paper, "Delegation in Human-Machine Teaming: Progress, Challenges and Prospects" (2021), with 9 citations, provides a comprehensive framework that maps the current landscape of delegation research. This work identifies key progress areas—such as adaptive autonomy and trust calibration—while outlining persistent challenges like transparency and the risk of automation bias. By synthesizing diverse findings, Post offers a roadmap for designing more intuitive and reliable human-AI partnerships. His contributions are particularly valuable for researchers in human-computer interaction and robotics, as they bridge theoretical concepts with practical design implications. Though early in his career, Post’s focused scholarship is shaping how teams of humans and machines can work together more seamlessly, making him a promising voice in this rapidly evolving field.