TY - CHAP A1 - Pohlt, Clemens A1 - Hell, Sebastian A1 - Schlegl, Thomas A1 - Wachsmuth, Sven ED - Wrede, Britta ED - Nagai, Yukie ED - Komatsu, Takanori ED - Hanheide, Marc ED - Natale, Lorenzo T1 - Impact of Spontaneous Human Inputs during Gesture based Interaction on a Real-World Manufacturing Scenario T2 - Proceedings of the 5th International Conference on Human Agent Interaction (HAI '17), Bielefeld Germany, 17.10.2017 -20.10.2017 N2 - Seamless human-robot collaboration depends on high non-verbal behaviour recognition rates. To realize that in real-world manufacturing scenarios with an ecological valid setup, a lot of effort has to be invested. In this paper, we evaluate the impact of spontaneous inputs on the robustness of human-robot collaboration during gesture-based interaction. A high share of these spontaneous inputs lead to a reduced capability to predict behaviour and subsequently to a loss of robustness. We observe body and hand behaviour during interactive manufacturing of a collaborative task within two experiments. First, we analyse the occurrence frequency, reason and manner of human inputs in specific situations during a human-human experiment. We show the high impact of spontaneous inputs, especially in situations that differ from the typical working procedure. Second, we concentrate on implicit inputs during a real-world Wizard of Oz experiment using our human-robot working cell. We show that hand positions can be used to anticipate user needs in a semi-structured environment by applying knowledge about the semi-structured human behaviour which is distributed over working space and time in a typical manner. Y1 - 2017 SN - 9781450351133 U6 - https://doi.org/10.1145/3125739.3132590 SP - 347 EP - 351 PB - ACM CY - New York, NY ER -