Darci Gallimore

Papers

Total Citations

129

H-Index

About

Darci Gallimore’s research explores the human dimensions of human-robot interaction, with a particular focus on trust in autonomous security systems. Her work investigates how factors like gender, reliability, and perceived social intent shape people’s willingness to accept and rely on robots in high-stakes contexts. In her highly cited 2019 paper, “Trusting Robocop: Gender-Based Effects on Trust of an Autonomous Robot” (83 citations), Gallimore revealed that gender influences trust in security robots, challenging assumptions about uniform public acceptance. She extended this line of inquiry in 2020 with “Trusting Autonomous Security Robots: The Role of Reliability and Stated Social Intent” (46 citations), demonstrating that both technical reliability and the robot’s expressed social intent significantly affect trustworthiness and endorsement for real-world deployment. Her work bridges engineering and social science, offering critical insights for designing robots that earn public confidence. With over 129 combined citations for these two papers alone, Gallimore is recognized as a leading voice on the psychological and social factors that determine whether autonomous systems are embraced or resisted—a timely contribution as security robots become more common in public spaces.