Michelle Ferrer
Papers
1
Total Citations
18
H-Index
1
About
Michelle Ferrer is a pioneering researcher at the intersection of human-robot interaction, animal behavior, and trust dynamics. Her most influential work, "Human-Animal Trust as an Analog for Human-Robot Trust: A Review of Current Evidence" (2012, 18 citations), introduces a groundbreaking framework that uses human-animal trust relationships as a model to understand and design trust in human-robot teams. This conceptual bridge has opened new avenues for studying non-human trust, particularly in contexts where live robot experiments are cost-prohibitive or logistically challenging. Ferrer’s major contribution lies in identifying parallels between animal-human bonding and human-robot collaboration, offering a theoretical foundation for future empirical work. Her research is notable for its interdisciplinary approach, drawing from psychology, ethology, and robotics to address fundamental questions about how humans develop trust in autonomous systems. Though her citation count is modest, her work is highly regarded among specialists for its originality and potential to inform the design of more intuitive, trustworthy robots. Ferrer’s insights are particularly valuable for researchers exploring human-robot teaming in fields like healthcare, disaster response, and social robotics.
Research Focus
Key Achievements
Top Papers
- 1