Grace Igwe
Papers
1
Total Citations
2
H-Index
1
About
Grace Igwe is a human-robot interaction researcher whose work focuses on the cognitive and communicative challenges posed by autonomous systems. Her research centers on how robots that operate at multiple levels of autonomy can inadvertently increase user stress, workload, and error rates, particularly when their mode of operation is unclear. In her most cited work, “I’m Not in the Mode to Help” (2020, 2 citations), Igwe investigates how multimodal interfaces can be designed to clearly communicate a robot’s current level of automation to users, reducing confusion and improving task performance. This foundational study highlights a critical gap in the design of adaptable robotic systems: the need for transparent, intuitive feedback mechanisms that keep human operators informed and in control. By addressing the cognitive burden of mode switching, Igwe’s contributions are vital for the safe deployment of robots in high-stakes environments like healthcare, manufacturing, and disaster response. Her work bridges human factors engineering and robotics, offering practical design guidelines that prioritize user well-being alongside system capability.
Research Focus
Key Achievements
Top Papers
- 1"I'm Not in the Mode to Help"2 citations · 2020