Stefan Sommer
Papers
1
Total Citations
9
H-Index
1
About
Stefan Sommer is a researcher in human-robot interaction, with a focus on how timing and context shape people’s responses to robotic advice. His most-cited work, “Receiving Robot’s Advice: Does It Matter When and for What?” (2020), has garnered 9 citations and addresses a critical question in social robotics: when and for what tasks humans are most receptive to guidance from machines. By examining the interplay between robot behavior and human decision-making, Sommer’s research contributes to designing more effective, trust-based interactions between people and autonomous systems. His work is particularly relevant for applications in collaborative robotics, assistive technologies, and human-centered AI. Sommer’s findings help clarify the subtle social dynamics that influence whether a robot’s input is accepted or ignored, offering practical insights for engineers and designers. His research stands at the intersection of cognitive science, robotics, and human factors, making him a valuable voice in the ongoing effort to create robots that communicate naturally and appropriately with people in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Receiving Robot’s Advice: Does It Matter When and for What?9 citations · 2020