Manuel Dietrich
Papers
7
Total Citations
26
H-Index
3
About
Manuel Dietrich is an emerging researcher at the intersection of human-robot interaction, social robotics, and privacy, whose work is shaping how we think about robots as active participants in human social life. His research focuses on two interconnected themes: the role of robots as social mediators in group settings, and the critical challenge of designing privacy-aware robotic systems that earn genuine trust from users and bystanders alike. Dietrich's most-cited work (11 citations) investigates what social robots should disclose about individuals, addressing the nuanced privacy expectations that must be met before robots can be meaningfully integrated into everyday environments. This line of inquiry extends into his contributions to the Privacy-Aware Robotics workshop at HRI 2024, where he helped synthesize perspectives from engineering, stakeholder engagement, and regulatory frameworks into actionable design guidance. Equally notable is his body of work on social mediation robots—systems designed to facilitate group dynamics in workplaces, social settings, and collaborative contexts. Through scoping reviews and real-world scenario analysis, Dietrich has helped establish theoretical foundations for this nascent subfield. His concept of "social intervenability" further advances thinking about how robots can proactively navigate complex social environments. With a growing publication record across high-profile HRI venues, Dietrich represents a thoughtful voice in responsible, human-centered robotics research.
Research Focus
Key Achievements
Top Papers
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- 4Privacy Aware Robotics3 citations · 2024
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- 7Robot Design for Social Intervenability1 citations · 2024