Susanne Stadler
Papers
15
Total Citations
600
H-Index
10
About
Susanne Stadler’s research lies at the intersection of human-robot interaction (HRI), error perception, and social robotics, with a particular focus on how people perceive, assess, and behave toward robots that make mistakes. Her most influential work, “To Err Is Robot” (236 citations), demonstrated that humans evaluate faulty robots differently from error-free ones, revealing nuanced social responses that challenge assumptions about robotic perfection. She further advanced the field by systematically categorizing verbal and non-verbal social signals during error situations (96 citations), providing a foundational framework for robots to autonomously detect and respond to interaction errors. Stadler also explored the role of humor in robotics, showing how robot laughter—whether self-ironic or schadenfreude—affects likability ratings. Her contributions extend to applied domains, including augmented reality for industrial robot programming (60 citations) and user requirements for teleoperated medical robots. Through her work, Stadler has shaped how researchers design robots that are not only functional but also socially intelligent, capable of navigating the inevitable imperfections of real-world interaction.
Research Focus
Key Achievements
Top Papers
- 1To Err Is Robot: How Humans Assess and Act toward an Erroneous Social Robot236 citations · 2017
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- 6Head and shoulders: automatic error detection in human-robot interaction32 citations · 2017
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- 9Anthropomorphism in the factory - a paradigm change?13 citations · 2013
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