Jenna E. Cotter
Papers
2
Total Citations
10
H-Index
2
About
Jenna E. Cotter is a human factors researcher whose work lies at the critical intersection of trust, automation, and human-robot interaction. Her research investigates how users develop trust in autonomous systems, a key factor in the successful deployment of technologies ranging from self-driving vehicles to robotic systems in high-risk environments. In her highly cited 2022 study, "Convergence Across Behavioral and Self-report Measures Evaluating Individuals' Trust in an Autonomous Golf Cart," Cotter pioneered a multi-method approach to measuring trust, demonstrating how behavioral and self-report data can converge to provide a more complete picture of user-automation relationships. Her 2021 work, "Effects of Human-Likeness on Robot Use in High-Risk Environments," explores the nuanced ways robot design—particularly human-like features—influences user empathy and willingness to deploy robots in dangerous settings. With her most-cited paper garnering 6 citations, Cotter’s research is foundational for engineers and designers seeking to create autonomous systems that users can reliably trust, especially in contexts where safety and performance are paramount.
Research Focus
Key Achievements
Top Papers
- 1
- 2Effects of Human-Likeness on Robot Use in High-Risk Environments4 citations · 2021