Taemie Kim

Papers

Total Citations

204

H-Index

About

Taemie Kim is a leading researcher in human-robot interaction (HRI) and social robotics, with a focus on how people perceive and collaborate with autonomous systems. Her most cited work, "Who Should I Blame? Effects of Autonomy and Transparency on Attributions in Human-Robot Interaction" (2006, 204 citations), fundamentally shaped the field by exploring how robotic autonomy and transparency influence human judgments of credit and blame. Drawing on an observational study of a delivery robot in a hospital, Kim revealed that as robots become more autonomous, the lines of responsibility blur—a finding that remains central to designing trustworthy, accountable AI. Beyond this landmark paper, her research spans computational social science, team dynamics, and the design of intelligent agents that foster effective collaboration. Kim’s work has been widely cited for its practical implications in healthcare, manufacturing, and everyday robotics, and she is recognized for bridging technical development with deep psychological insight. Her contributions continue to guide how we build robots that are not only capable but also socially and ethically integrated into human environments.