Yngve Kelch
Papers
1
Total Citations
2
H-Index
1
About
Yngve Kelch is a rising scholar in human-robot interaction, with a focus on the psychology of trust and reciprocity in collaborative systems. His work explores how robots can strategically disclose their own trust levels to shape human behavior, challenging traditional one-directional models of trust. In his highly cited 2024 study, "Would you Trust a Robot that Distrusts you?"—already garnering 2 citations in its first year—Kelch demonstrated that a robot's expression of distrust can paradoxically increase human trust and repair damaged collaboration. This nuanced finding positions him at the forefront of research on trust repair and emotional transparency in autonomous systems. His experimental designs, which manipulate trust disclosure and repair strategies, offer practical insights for designing more adaptive and socially intelligent robots. Kelch’s contributions are particularly relevant for fields like healthcare robotics, manufacturing, and service automation, where sustained human-robot cooperation is critical. As trust becomes a central currency in human-robot relationships, Kelch’s work provides a foundational framework for building machines that not only earn trust but also know when to withhold it.
Research Focus
Key Achievements
Top Papers
- 1Would you Trust a Robot that Distrusts you?2 citations · 2024