Markus Miksch
Papers
1
Total Citations
236
H-Index
1
About
Markus Miksch is a leading researcher in human-robot interaction, with a particular focus on how people perceive and respond to robots that make mistakes. His most influential work, "To Err Is Robot: How Humans Assess and Act toward an Erroneous Social Robot" (2017), has garnered over 230 citations, establishing him as a key voice in understanding robot fallibility. In this landmark study, Miksch and his team deliberately programmed faulty behaviors into a social robot to investigate whether users judge an error-prone robot differently than a flawless one, and to observe the range of human reactions during such interactions. His findings challenge the assumption that robots must be perfect to be accepted, revealing nuanced ways in which people assess, adapt to, and even empathize with robotic errors. This work has profound implications for designing more resilient and socially acceptable robots in real-world settings, from healthcare to service industries. Miksch’s research continues to shape how we think about trust, forgiveness, and collaboration between humans and imperfect machines.
Research Focus
Key Achievements
Top Papers
- 1To Err Is Robot: How Humans Assess and Act toward an Erroneous Social Robot236 citations · 2017