Gal Yaar
Papers
1
Total Citations
4
H-Index
1
About
Gal Yaar is a rising researcher at the intersection of human-robot interaction (HRI) and social psychology, whose work explores how robotic presence shapes fundamental human self-perceptions. Her most-cited study, "Who's Better? Exploring the Effects of Social Comparison in HRI on Self-Esteem and Self-Efficacy" (2025), investigates how performing tasks alongside robots triggers humans' innate tendency for social comparison, revealing that even simple collaborative activities can measurably influence self-esteem and self-efficacy. This groundbreaking work addresses a critical gap in HRI research—understanding the psychological consequences of increasingly ubiquitous robots in everyday life. With her paper already garnering early citations, Yaar's contributions are establishing a new framework for designing socially aware robotic systems that consider human psychological well-being. Her research holds profound implications for fields ranging from assistive robotics to workplace automation, where robot presence may inadvertently affect human confidence and motivation. As an emerging voice in HRI, Yaar is pioneering essential conversations about the subtle but powerful ways robots reshape our sense of self.
Research Focus
Key Achievements
Top Papers
- 1