Michaela Sax
Papers
1
Total Citations
5
H-Index
1
About
Michaela Sax investigates the intersection of human-robot interaction and social perception, focusing on how robots’ behavior is interpreted and justified in collaborative contexts. Her most-cited work, “Investigating Perceived Task Urgency as Justification for Dominant Robot Behaviour” (2020), explores how humans rationalize robotic assertiveness when tasks are framed as urgent—a contribution that bridges cognitive psychology and robotics ethics. This study, with 5 citations, has informed discussions on designing socially acceptable autonomous systems. Sax’s research challenges assumptions about robot dominance, revealing that perceived urgency can override typical expectations of politeness or deference in human-robot teams. Her work is notable for its experimental rigor and its implications for real-world applications, such as emergency response or manufacturing, where robots must act decisively. By dissecting the subtle social dynamics between humans and machines, Sax helps shape more intuitive and trustworthy AI. Her findings are increasingly cited in studies on trust, authority, and communication in human-robot interaction, marking her as an emerging voice in this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
- 1