Thomas Ellwart
Papers
4
Total Citations
23
H-Index
2
About
Thomas Ellwart is a leading researcher at the intersection of human-autonomy teaming, trust in robotic systems, and sociotechnical system design. His work fundamentally addresses how humans and intelligent machines can collaborate effectively in high-stakes, real-world environments. A cornerstone of his research is the concept of "sociodigital self-comparisons" (SDSC), which explores how human team members evaluate their own abilities against those of AI or robotic partners—a critical psychological factor in hybrid team dynamics. Ellwart has made major contributions to building trust ecosystems for remote inspection technologies (RITs), particularly in the demanding context of ship hull inspections, where his work provides first-hand insights into the role of trust in robotic and autonomous systems (RAS). His recent projects tackle the immense complexity of multi-stakeholder human-robot interaction and the design of hybrid user interfaces for multi-robot teams, navigating unstructured environments. With his most-cited work (12 citations) establishing a framework for trust in critical maritime operations, Ellwart is shaping how we design, deploy, and psychologically prepare for the future of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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