Amanda Hyllbrant
Papers
1
Total Citations
5
H-Index
1
About
Amanda Hyllbrant is a pioneering researcher at the forefront of human-robot interaction, specializing in how people perceive and engage with both social and telepresence robots. Her most-cited work, "Navigating the Human–Robot Interface—Exploring Human Interactions and Perceptions with Social and Telepresence Robots" (2025), makes a critical contribution by directly comparing user experiences with two distinct robotic platforms: Pepper, a social humanoid, and Double 3, a self-driving telepresence robot. Through carefully controlled experiments, Hyllbrant reveals how design and functionality shape human trust, comfort, and usability, offering actionable insights for engineers and designers. With 5 citations in its first year, this study is already influencing the development of more intuitive robotic interfaces. Her research bridges the gap between technical robotics and social psychology, helping to define best practices for integrating robots into everyday environments. Hyllbrant’s work is essential reading for students and researchers seeking to understand the nuanced dynamics of human-robot relationships in an increasingly automated world.
Research Focus
Key Achievements
Top Papers
- 1