Amanda Holloman
Papers
1
Total Citations
6
H-Index
1
About
Amanda Holloman is a pioneering researcher in human-robot interaction (HRI), specializing in the intersection of neurophysiological measurement and social robotics. Her work focuses on understanding how humans perceive and respond to vulnerable robot behaviors—such as expressions of uncertainty or apology—by integrating physiological signals like electroencephalography (EEG) and heart rate variability with traditional survey and observational methods. In her most-cited paper (2019, 6 citations), she demonstrates that neurophysiological data can augment interpretation of trust, disclosure, and companionship in HRI, offering a more nuanced view of user responses beyond self-reports. This foundational contribution has opened new avenues for designing robots that adapt to human emotional and cognitive states. Though early in her career, Holloman’s interdisciplinary approach—bridging neuroscience, psychology, and robotics—has been recognized for its potential to deepen understanding of human-robot relationships. Her work is particularly notable for challenging conventional HRI methodologies, advocating for real-time, objective measures to capture the subtle dynamics of human-robot interaction. As a rising voice in the field, she continues to explore how vulnerable robot behaviors can foster more authentic and effective human-robot partnerships.
Research Focus
Key Achievements
Top Papers
- 1