Papers
6
Total Citations
65
H-Index
5
About
Ahreum Lee is a pioneering researcher at the intersection of human-robot interaction (HRI) and cognitive engineering, with a focus on how robots communicate and coexist with humans in shared spaces. Her most impactful work centers on **external human-machine interfaces (eHMI)** for delivery robots, where she investigates how robots can express navigational intent to pedestrians—a critical step toward safe, intuitive urban automation. Her 2021 study on eHMI design (25 citations) has become a foundational reference for the field, shaping how robots signal their next moves without verbal cues. Lee also explores **public perception of robots** through digital discourse analysis, as seen in her 2020 study of campus delivery robots via Reddit (18 citations), revealing how real-world experiences shape societal acceptance. Beyond navigation, she has contributed to **affective computing** by creating a ROSbag-based multimodal dataset for emotional and cognitive states (9 citations), enabling more empathetic robot responses. Her systematic review of intraoperative stressors for clinical personnel (2023) extends her work into healthcare, identifying key stressors in high-stakes environments. Lee’s multi-robot interaction designs, including deictic movement studies, further demonstrate her commitment to making robot teams accessible and understandable for everyday users. With over 65 total citations, her research is shaping the future of socially aware robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robots on Campus18 citations · 2020
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- 5Design of a Human Multi-Robot Interaction Medium of Cognitive Perception5 citations · 2019
- 6Investigating the Effect of Deictic Movements of a Multi-Robot3 citations · 2020