Papers
61
Total Citations
1,814
H-Index
21
About
Elizabeth Phillips is a prominent researcher in human-robot interaction (HRI), whose work spans robot appearance, trust dynamics, and immersive interfaces for robot control. With over 1,150 citations across her most influential papers, Phillips has made foundational contributions to how humans perceive, trust, and collaborate with robotic systems. Her early work, including "From Tools to Teammates" (2011, 140 citations) and "Building Appropriate Trust in Human-Robot Teams" (2013, 58 citations), helped establish the conceptual groundwork for understanding robots as social partners rather than mere instruments. This thread deepened with her highly cited investigations into trust repair in HRI (2018, 144 citations), addressing the critical question of how human-robot relationships can recover after failures. Phillips has also pushed boundaries in robot appearance research, systematically examining what makes robots seem human-like and revisiting the uncanny valley phenomenon across real-world platforms. Complementing this, her innovative work on virtual and mixed reality interfaces — including the widely adopted ROS Reality framework (108 citations) — has advanced how operators intuitively program and control robots. Her research uniquely bridges cognitive science, design, and engineering, making her an essential voice in shaping the future of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1What is Human-like?226 citations · 2018
- 2
- 3Toward an Understanding of Trust Repair in Human-Robot Interaction144 citations · 2018
- 4From Tools to Teammates140 citations · 2011
- 5
- 6
- 7End-User Robot Programming Using Mixed Reality78 citations · 2019
- 8
- 9Building appropriate trust in human-‐robot teams58 citations · 2013
- 10