Daniel Tanneberg, Felix Ocker, Stephan Hasler, Jörg Deigmöller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger, "To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions", Arxiv, no. arXiv:2403.12533, 2024.

How can a robot support a group of humans in physical group activities? We present \textit{Attentive Support}, a novel interaction concept for robots to support a group of humans. It combines scene perception, dialogue acquisition, situation understanding, and behavior generation with the common-sense reasoning capabilities of Large Language Models (LLMs). In addition to following user instructions, \textit{Attentive Support} is capable to decide when and how to support the users, and when to remain silent. With a diverse set of scenarios, we show and evaluate the robot's attentive behavior, which should support and help the humans when required, while not disturbing if no help is required.