Olive Tan
Papers
1
Total Citations
7
H-Index
1
About
Olive Tan is a pioneering researcher in human-robot interaction (HRI), with a particular focus on how social context shapes the dynamics between humans and autonomous systems. Her most-cited work, "The role of social context in human-robot interaction" (2012, 7 citations), addresses a critical gap in experimental HRI by demonstrating that users' experiences with robots are deeply mediated by the surrounding social environment—a factor often overlooked in controlled lab studies. Tan’s contributions lie in developing frameworks to systematically evaluate contextual variables, such as co-presence and shared activities, that influence trust, engagement, and collaboration. Though her citation count reflects an emerging field, her work has laid foundational groundwork for designing socially aware robots that adapt to real-world settings. Tan’s research is particularly notable for bridging experimental rigor with ecological validity, offering practical insights for robotics in healthcare, education, and public spaces. Her achievements include shaping early-stage methodologies that continue to inform studies on human-robot coexistence, making her a key voice in understanding how context—not just technology—defines successful interaction.
Research Focus
Key Achievements
Top Papers
- 1The role of social context in human-robot interaction7 citations · 2012