Emily Ankeney
Papers
1
Total Citations
13
H-Index
1
About
Emily Ankeney’s research lies at the intersection of human–robot interaction, trust dynamics, and cognitive engineering, with a focus on how individual differences shape our reliance on autonomous systems. Her most cited work, "Trust in the Danger Zone: Individual Differences in Confidence in Robot Threat Assessments" (2022, 13 citations), explores a critical challenge in human–robot teaming: how features like social agency and machine incomprehensibility affect a human operator’s trust—and mental model—of intelligent machines, especially in high-stakes threat assessment scenarios. By investigating the psychological underpinnings of trust calibration, Ankeney’s contributions help design safer, more effective human–robot partnerships. Her work is particularly notable for bridging personality psychology with robotics, offering practical insights for military, emergency response, and industrial applications where split-second trust decisions can have life-or-death consequences. With a growing citation footprint, Ankeney is establishing herself as a key voice in understanding the human side of autonomous systems, making her research essential reading for students and engineers alike.
Research Focus
Key Achievements
Top Papers
- 1