Papers
10
Total Citations
262
H-Index
8
About
Gene M. Alarcon is a prominent researcher specializing in human-robot interaction, trust in automation, and human-autonomy teaming. His work sits at the intersection of psychology and emerging technology, examining how humans develop, maintain, and repair trust relationships with both robotic systems and autonomous agents. Alarcon's most influential contribution, "The Measurement of the Propensity to Trust Automation" (2019, 85 citations), established foundational tools for quantifying how individuals approach automated systems — a critical advancement for researchers and designers of human-machine interfaces alike. His comparative research on human-human versus human-robot trust dynamics has been particularly impactful, with studies exploring how trust violations, cognitive biases, and personality traits shape collaborative outcomes differently depending on whether a partner is human or robotic. His 2021 paper on differential trust violation effects has garnered 53 citations, reflecting strong community interest. Notably, Alarcon has extended this work into the specialized domain of human-swarm interaction, investigating how asset degradation and system-wide failures affect operator reliance and trust perception. Across more than 250 total citations, his research provides essential empirical grounding for designing trustworthy autonomous systems in real-world collaborative environments.
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
- 4The role of human personality on trust in human-robot interaction16 citations · 2020
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