Svyatoslav Guznov

United States Air Force Research Laboratory, University of Cincinnati

Papers

Total Citations

175

H-Index

About

Svyatoslav Guznov is a leading researcher in human-automation interaction, with a focus on trust dynamics, human-robot teaming, and operator workload in complex systems. His work critically examines how individual differences shape trust in automation, most notably through the Perfect Automation Schema (PAS)—a framework showing that people’s preconceived expectations of flawless automation can paradoxically undermine trust when systems err. His 2018 multi-study paper on PAS (104 citations) remains a foundational reference in the field. Guznov also investigates transparency and team orientation in human-robot teams, demonstrating how robot communication strategies affect performance and cohesion in non-collocated settings (2019, 52 citations). Earlier, he pioneered the use of the RoboFlag synthetic task environment to assess stress and workload in UAV operations (2011, 19 citations), contributing to the design of more resilient human-machine systems. His research bridges cognitive psychology and engineering, offering actionable insights for developing trustworthy, transparent autonomous systems. Guznov’s work is essential reading for students and researchers exploring the psychological underpinnings of human-automation collaboration.