Rachel L. Bailey
Papers
1
Total Citations
13
H-Index
1
About
Rachel L. Bailey is a leading scholar at the intersection of human–robot interaction and cognitive science, with a primary focus on trust dynamics in high-stakes, human–robot teaming (HRT) environments. Her work investigates how individual differences—such as cognitive biases and mental models—shape a human operator’s confidence in autonomous systems, particularly when those systems make life-or-death threat assessments. In her highly cited 2022 paper, *"Trust in the Danger Zone,"* Bailey reveals that novel features of intelligent machines, including social agency and incomprehensibility, can critically undermine or inflate operator trust, with profound implications for military and emergency response teams. This contribution has already garnered 13 citations, signaling its growing influence in HRT and human factors engineering. Bailey’s research is notable for bridging psychological theory with applied robotics, offering actionable insights for designing more transparent and trustworthy autonomous agents. Her work is essential reading for students and researchers exploring the fragile, often perilous, relationship between humans and the machines they must rely on in the danger zone.
Research Focus
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Top Papers
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