Andreea Damien
Papers
1
Total Citations
7
H-Index
1
About
Andreea Damien is a leading voice in human-robot interaction, best known for developing the Positive–Negative–Competence (PNC) model of psychological responses to robots. Her work provides a unifying framework for understanding how people form affective, cognitive, and behavioral reactions to robotic agents—a critical contribution as robots become more embedded in daily life. The PNC model, detailed in her highly cited 2023 paper (7 citations), synthesizes diverse factors that shape human perceptions, offering researchers a structured lens to explore trust, comfort, and competence in human-robot encounters. Beyond this foundational taxonomy, Damien’s research spans the emotional and social dimensions of technology, examining how design and context influence user acceptance. Her ability to bridge psychological theory with applied robotics has made her work essential reading for scholars in human-computer interaction and social robotics. With her PNC model gaining traction as a reference point for future studies, Damien continues to shape how we think about the nuanced, often ambivalent, ways people relate to machines—a timely and impactful contribution to an evolving field.
Research Focus
Key Achievements
Top Papers
- 1