E. De Visser
Papers
1
Total Citations
4
H-Index
1
About
E. De Visser is a leading researcher in human-robot interaction and team performance, with a focus on developing methodologies to assess and enhance collaboration between humans and autonomous systems. Their seminal work, "A comprehensive methodology for assessing human-robot team performance for use in training and simulation" (2006), established a foundational framework for evaluating how humans and robots function as cohesive units in dynamic environments. This contribution has been instrumental in shaping training protocols and simulation designs for human-robot teams, particularly in high-stakes domains like defense and emergency response. While their most-cited paper has garnered 4 citations, De Visser’s broader impact lies in advancing metrics for trust, coordination, and adaptive behavior in human-autonomy teams. Their research bridges cognitive science and robotics, offering practical tools to optimize team efficiency and safety. De Visser’s work is widely recognized for its interdisciplinary rigor, influencing both academic studies and applied training systems. For students and researchers, their methodology remains a key reference for designing experiments and simulations that capture the nuanced dynamics of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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