Julie Fleming
Papers
1
Total Citations
22
H-Index
1
About
Julie Fleming investigates the dynamics of human-robot interaction, with a focus on how robot design influences authority and compliance in collaborative teams. Her most-cited work, "Robot Authority in Human-Machine Teams: Effects of Human-Like Appearance on Compliance" (2019, 22 citations), demonstrates that robots with human-like features can significantly increase human compliance in decision-making tasks—a finding with profound implications for safety-critical domains like healthcare and manufacturing. By bridging social psychology and robotics, Fleming reveals how subtle design choices shape trust and power dynamics in mixed teams. Her research has been recognized for its practical relevance, informing guidelines for ethical robot deployment. Fleming’s work continues to challenge assumptions about machine agency, offering a nuanced view of how appearance affects human perception and behavior. With growing interest in autonomous systems, her contributions are poised to influence both design standards and policy, making her a key voice in the evolving conversation about human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1