Human interaction is highly intuitive: we infer reactions of our opponents mainly from what we have learned in years of experience and often assume that other people have the same knowledge about certain situations, abilities, and expectations as we do. In human-robot interaction (HRI) we cannot take for granted that this is equally true because HRI is asymmetrical. In other words, robots have different abilities, knowledge, and expectations than humans. Thus, they need to communicate with their appearance and behaviour about their expectations and they have to be enabled to react appropriately to human expectations and behaviour. With this respect, scientific advances have been made to date for applications in entertainment and service robotics that largely depend on intuitive interaction. However, often HRI today is still unnatural, slow, and unsatisfactory for the human interlocutor. In other words, the dynamics of HRI are not yet satisfactory. Both the sensorimotor interaction with environment and human interlocutor, and the social aspects of the interaction still need to be researched and improved.
Therefore, this full-day workshop aims to bring together researchers from different scientific fields to discuss these crosscutting issues and to exchange views on what are the preconditions and principles of intuitive interaction.

Workshop topics:

  • role of expectations in intuitive HRI
  • preconditions for intuitive interaction
  • expectations and intuitive interaction with respect to cultural norms
  • methods to research user expectations and intuitive interaction
  • approaches and methods for recognizing user expectation with a robot system
  • multimodality to support the recognition of expectations and intentions in behaviors
  • expectations of the robot (for example, input that is required by the user) and ways of communicating these expectations to the user
  • experiments and user studies researching the influence of the robots’ modalities and appearance on users’ expectations and on intuitive interaction
  • dynamics of intuitive interaction
  • learning through interaction