Papers
8
Total Citations
260
H-Index
8
About
Sarah A. Jessup is a leading researcher in human-autonomy teaming, with a particular focus on trust dynamics between humans and autonomous systems, including robots. Her work sits at the intersection of cognitive psychology, human factors, and robotics, addressing one of the most pressing challenges in modern technology: how humans develop, calibrate, and repair trust in artificial agents. Jessup's most influential contribution, "The Measurement of the Propensity to Trust Automation" (2019, 85 citations), established foundational tools for quantifying how individuals relate to automated systems — a critical building block for the field. Her subsequent research has systematically unpacked the nuanced differences between human-human and human-robot trust, revealing that while emotional responses to trust violations may be surprisingly similar across both contexts, important cognitive and behavioral biases distinguish the two. Her investigations into individual differences, decision authority, and perceived robot intent have offered practitioners actionable insights for designing more trustworthy autonomous systems. With work spanning security robots, affective responses to betrayal, and trust repair mechanisms, Jessup has amassed over 260 citations across her career. Her scholarship is essential reading for anyone seeking to understand how people forge — and mend — relationships with the autonomous systems increasingly embedded in everyday life.
Research Focus
Key Achievements
Top Papers
- 1The Measurement of the Propensity to Trust Automation85 citations · 2019
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- 3Differential biases in human-human versus human-robot interactions39 citations · 2022
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