Papers
78
Total Citations
2,043
H-Index
24
About
Manfred Tscheligi is a prominent researcher in human-robot interaction (HRI), whose work has fundamentally shaped how we understand social dynamics between humans and robots. His research spans robot error perception, emotional attachment to robots, social acceptance, and methodological frameworks for evaluating HRI in real-world settings. Among his most influential contributions is his investigation into how humans respond to robot errors — his 2017 study "To Err Is Robot" (236 citations) revealed critical insights into user perception and behavioral reactions toward faulty robots, with profound implications for designing more socially intelligent systems. Equally significant is his early work on children's emotional bonds with robotic companions, demonstrating that meaningful attachment can form even with mechanical entities. Tscheligi has also been a methodological innovator, developing the USUS Evaluation Framework (105 citations) and championing Wizard of Oz approaches to streamline user experience research in HRI contexts. His field studies in public spaces — including robots asking strangers for directions — demonstrate a commitment to ecologically valid research. With contributions extending into augmented reality for industrial robotics, Tscheligi bridges social and applied dimensions of human-technology interaction, making him a versatile and highly impactful voice in the field.
Research Focus
Key Achievements
Top Papers
- 1To Err Is Robot: How Humans Assess and Act toward an Erroneous Social Robot236 citations · 2017
- 2The USUS Evaluation Framework for Human-Robot Interaction105 citations · 2009
- 3“I Love This Dog”—Children’s Emotional Attachment to the Robotic Dog AIBO102 citations · 2009
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- 7Looking Forward to a “Robotic Society”?58 citations · 2010
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