Miriam Koschate

University of Exeter

Papers

2

Total Citations

40

H-Index

2

About

Miriam Koschate’s research lies at the fascinating intersection of social robotics, human-computer interaction, and psychology, where she investigates how people perceive and interact with humanlike machines. Her most influential work tackles the “uncanny valley”—the unsettling feeling evoked by highly realistic robots. In a landmark 2016 study (37 citations), Koschate demonstrated that this eeriness stems from heightened thoughts of mortality triggered by near-perfect human likeness. Crucially, she proposed an elegant solution: rather than reducing a robot’s humanlikeness, adding displays of emotion can mitigate the uncanny effect, making robots appear warmer and less threatening. This insight has reshaped design strategies for social robots. Her subsequent “in the wild” usability study (2016) explored tele-operated humanoid avatars, revealing their unique advantages over video conferencing for remote presence and embodied interaction. Koschate’s work is distinguished by its empirical rigor and practical relevance, offering clear guidelines for engineers and designers. Her contributions are foundational for creating robots that are both humanlike and socially acceptable, directly informing the development of empathetic, approachable AI companions.

Research Focus

Key Achievements

2
H-Index
2
Papers
40
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Overcoming the uncanny valley: Displays of emotions reduce the uncanniness of humanlike robots
37 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Exeter

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago