Ingo Siegert

Papers

Total Citations

H-Index

About

Ingo Siegert is a leading researcher in human-robot interaction (HRI), with a particular focus on developing intuitive, multimodal communication systems that bridge the gap between humans and machines. His work centers on two key areas: modeling cognitive engagement in HRI and evaluating hybrid input modalities for robotic control. In his highly cited work on the "IM HERE" model, Siegert introduced a groundbreaking framework for understanding and fostering engagement as a dynamic cognitive process, moving beyond vague definitions to create a generalizable model that enhances the quality of human-robot exchanges. His research on the Robot System Assistant (RoSA) further demonstrates his impact, providing a rigorous evaluation of touch and speech inputs for both on-site and telerobotic scenarios, paving the way for more versatile and accessible robotic assistants in future work environments. With his papers already garnering attention in the field, Siegert’s contributions are shaping the next generation of collaborative robots, making him a pivotal figure in advancing how we interact with autonomous systems.