Papers
1
Total Citations
23
H-Index
1
About
Doogon Kim is a leading researcher at the intersection of human-robot interaction (HRI) and privacy, exploring how social robots navigate sensitive social contexts. His work critically examines the nuanced effects of robot social behaviors—such as gaze, proximity, and verbal cues—on human comfort and privacy perceptions. In his highly cited 2021 study, "Effects of Social Behaviors of Robots in Privacy-Sensitive Situations," Kim demonstrated that even well-intentioned social cues from robots can trigger discomfort in private settings, challenging assumptions about anthropomorphic design. This foundational paper, with 23 citations, has shaped subsequent research on ethical HRI and privacy-preserving robot design. Kim’s contributions are vital for developing robots that respect human boundaries, particularly in healthcare, domestic, and public service applications. His work bridges robotics, psychology, and privacy law, offering actionable insights for engineers and policymakers. As a rising voice in responsible AI, Kim continues to influence how we design machines that are not only intelligent but also socially and ethically aware.
Research Focus
Key Achievements
Top Papers
- 1Effects of Social Behaviors of Robots in Privacy-Sensitive Situations23 citations · 2021