Sondoss Elsawah
Papers
2
Total Citations
41
H-Index
2
About
Sondoss Elsawah is a leading researcher in human-swarm interaction and autonomous systems, with a focus on trust, decision-making, and education for artificial intelligence. Her work explores how humans calibrate trust in swarms of autonomous agents, particularly through the lenses of automation reliability and transparency. In her highly cited 2020 paper, "The reliability and transparency bases of trust in human-swarm interaction," she identifies these two factors as critical for shaping reliance behavior and mission performance, offering principles that guide the design of trustworthy autonomous systems. This work has garnered 37 citations, reflecting its foundational impact on the field. Elsawah also advances swarm intelligence through machine education, as seen in her 2021 paper on swarm decision-making in best-of-n problems, which proposes novel training methods for collective decision-making. Her contributions bridge cognitive science, robotics, and human factors, informing how humans and swarms collaborate effectively. Elsawah’s research is essential for students and engineers developing transparent, reliable autonomous systems, and her insights are shaping the next generation of human-swarm teamwork.
Research Focus
Key Achievements
Top Papers
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