Gerald Stollnberger
Papers
19
Total Citations
678
H-Index
12
About
Gerald Stollnberger is a human-robot interaction (HRI) researcher whose work spans robot error handling, social signal processing, robot humor, and applied robotics in medical and industrial contexts. His most influential contribution examines how humans perceive and respond to faulty robots — a 2017 study titled "To Err Is Robot" has accumulated 236 citations, establishing him as a leading voice on error dynamics in HRI. Building on this, Stollnberger developed methods for automatically detecting error situations through head and shoulder movement classification, and conducted systematic video analyses of social signals humans exhibit during robot failures, demonstrating that these overlooked moments carry significant research value. Beyond error research, Stollnberger has made notable contributions to robot humor, exploring how self-irony and Schadenfreude affect perceived robot likability, and to autonomous vehicle-pedestrian communication, drawing on social robotics principles to inform safer street interactions. His applied work includes user-centred design of a tele-operated echocardiography robot and augmented reality tools for industrial robot programming. Across his portfolio, Stollnberger consistently bridges theoretical HRI inquiry with real-world usability, making his research highly relevant to both academic audiences and practitioners developing socially intelligent, human-compatible robotic systems.
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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- 4Three Strategies for Autonomous Car-to-Pedestrian Communication44 citations · 2017
- 5User-centred design and evaluation of a tele-operated echocardiography robot40 citations · 2020
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- 7Head and shoulders: automatic error detection in human-robot interaction32 citations · 2017
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- 9Elements of Humor19 citations · 2017
- 10