Structuring Human-Robot-Interaction in Tutoring Scenarios

Chapter

Abstract

Contrary to the assumptions underlying many current robot systems, teaching is an interactive process where the tutor needs to be continuously informed about the learner’s internal states of understanding and perception. In an open ended learning situation this interaction can not be pre-modelled as the aspects that need clarification can not be foreseen. However, standard approaches do exactly this: they pre-define interactions by coupling system states with dialog acts. In our approach we target at losening this coupling between system and dialog states by providing general task and interaction patterns and means to relate them to each other.

By this approach we are now able to provide on the one hand a dialog system that is relatively easily adaptable to new scenarios and on the other hand mixed-initiative interactions that allow the system to inform the tutor about internal representations when they become important for the interaction.

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References

  1. 1.
    Bauer, A., Wollherr, D., Buss, M.: Information retrieval system for human-robot communication- asking for directions. In: International Conference on Robotics and Automation (2009)Google Scholar
  2. 2.
    Beuter, N., Spexard, T., Lütkebohle, I., Peltason, J., Kummert, F.: Where is this? - gesture based multimodal interaction with an anthropomorphic robot. In: International Conference on Humanoid Robots (2008)Google Scholar
  3. 3.
    Bohus, D., Rudnicky, A.I.: The ravenclaw dialog management framework: Architecture and systems. Computer Speech & Language 23(3), 332–361 (2009)CrossRefGoogle Scholar
  4. 4.
    Booij, O., Kröse, B., Peltason, J., Spexard, T., Hanheide, M.: Moving from augmented to interactive mapping. In: Robotics: Science and Systems Conference (2008)Google Scholar
  5. 5.
    Harel, D.: Statecharts: A visual formalism for complex systems. Science of Computer Programming 8, 231–274 (1987)MathSciNetMATHCrossRefGoogle Scholar
  6. 6.
    Lemon, O., Gruenstein, A., Battle, A., Peters, S.: Multi-tasking and collaborative activities in dialogue systems. In: 3rd SIGdial Meeting on Discourse and Dialogue, Association for Computational Linguistics, pp. 113–124 (2002)Google Scholar
  7. 7.
    Lütkebohle, I., Peltason, J., Schillingmann, L., Elbrechter, C., Wrede, B., Wachsmuth, S., Haschke, R.: The Curious Robot - Structuring Interactive Robot Learning. In: International Conference on Robotics and Automation, Robotics and Automation Society. IEEE (2009)Google Scholar
  8. 8.
    Nielsen, J.: Usability Engineering. Morgan Kaufmann Publishers, San Francisco (1994)Google Scholar
  9. 9.
    Parlitz, C., Baum, W., Reiser, U., Hägele, M.: Intuitive human-machine-interaction and implementation on a household robot companion. In: 12th International Conference on Human-Computer Interaction (2007)Google Scholar
  10. 10.
    Peltason, J., Wrede, B.: Modeling human-robot interaction based on generic interaction patterns. In: AAAI Fall Symposium: Dialog with Robots. AAAI Press (2010)Google Scholar
  11. 11.
    Peltason, J., Wrede, B.: Pamini: A framework for assembling mixed-initiative human-robot interaction from generic interaction patterns. In: SIGDIAL 2010 Conference, Association for Computational Linguistics, pp. 229–232 (2010)Google Scholar
  12. 12.
    Peltason, J., Siepmann, F.H., Spexard, T.P., Wrede, B., Hanheide, M., Topp, E.A.: Mixed-initiative in human augmented mapping. In: International Conference on Robotics and Automation (2009)Google Scholar
  13. 13.
    Rich, C., Sidner, C.L.: Collagen: A collaboration manager for software interface agents. User Modeling and User-Adapted Interaction 8, 315–350 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Cognitive Interaction Technology Excellence ClusterBielefeld UniversityBielefeldGermany

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