Towards Partners Profiling in Human Robot Interaction Contexts

  • Salvatore M. Anzalone
  • Yuichiro Yoshikawa
  • Hiroshi Ishiguro
  • Emanuele Menegatti
  • Enrico Pagello
  • Rosario Sorbello
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7628)


Individuality is one of the most important qualities of humans. Social robots should be able to model the individuality of the human partners and to modify their behaviours accordingly.This paper proposes a profiling system for social robots to be able to learn the individuality of human partners in social contexts. Profiles are expressed in terms of of identities and preferences bound together. In particular, people’s identity is captured by the use of facial features, while preferences are extracted from the discussion between the partners. Both are bound using an Hebb network. Experiments show the feasibility and the performances of the approach presented.


profiling personal robots human robot interaction 


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  1. 1.
    Breazeal, C.: Toward sociable robots. Robotics and Autonomous Systems 42(3-4) (2003)Google Scholar
  2. 2.
    Breazeal, C.L.: Designing sociable robots. The MIT Press (2004)Google Scholar
  3. 3.
    Anzalone, S., Nuzzo, A., Patti, N., Sorbello, R., Chella, A.: Emo-dramatic robotic stewards. Social Robotics, 382–391 (2010)Google Scholar
  4. 4.
    Lee, A., Kawahara, T., Shikano, K.: Julius—an open source real-time large vocabulary recognition engine. In: Seventh European Conference on Speech Communication and Technology (2001)Google Scholar
  5. 5.
    Anzalone, S.M., Menegatti, E., Pagello, E., Yoshikawa, Y., Ishiguro, H., Chella, A.: Audio-video people recognition system for an intelligent environment. In: 2011 4th International Conference on Human System Interactions (HSI), pp. 237–244. IEEE (2011)Google Scholar
  6. 6.
    Viola, P., Jones, M.: Robust real-time object detection. International Journal of Computer Vision 57(2), 137–154 (2002)CrossRefGoogle Scholar
  7. 7.
    Turk, M., Pentland, A.: Face recognition using eigenfaces. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition, vol. 591, pp. 586–591 (1991)Google Scholar
  8. 8.
    Hurkens, C., Van Iersel, L., Keijsper, J., Kelk, S., Stougie, L., Tromp, J., Dolech, D., Eindhoven, A.: Face Image Database, publicly available for non-commercial use (2008),
  9. 9.
    Steinwart, I., Christmann, A.: Support vector machines. Springer (2008)Google Scholar
  10. 10.
    Kraft, F., Kilgour, K., Saam, R., Stuker, S., Wolfel, M., Asfour, T., Waibel, A.: Towards social integration of humanoid robots by conversational concept learning. In: 2010 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp. 352–357. IEEE (2010)Google Scholar
  11. 11.
    Anzalone, S.M., Cinquegrani, F., Sorbello, R., Chella, A.: An emotional humanoid partner. Linguistic and Cognitive Approaches To Dialog Agents (LaCATODA 2010) At AISB (2010)Google Scholar
  12. 12.
    Jackson, P., Moulinier, I.: Natural language processing for online applications: Text retrieval, extraction and categorization, vol. 5. John Benjamins Pub. Co. (2007)Google Scholar
  13. 13.
    Anzalone, S.M., Yoshikawa, Y., Menegatti, E., Pagello, E., Sorbello, R., Ishiguro, H.: A topic recognition system for real world human-robot conversations. In: IAS 2012, 12th International Conference on Intelligent Autonomous Systems (2012)Google Scholar
  14. 14.
    Denoyer, L., Gallinari, P.: The Wikipedia XML Corpus. SIGIR Forum (2006)Google Scholar
  15. 15.
    Coradeschi, S., Saffiotti, A.: An introduction to the anchoring problem. Robotics and Autonomous Systems 43(2-3), 85–96 (2003)CrossRefGoogle Scholar
  16. 16.
    Yoshikawa, Y., Hosoda, K., Asada, M.: Unique association between self-occlusion and double-touching towards binding vision and touch. Neurocomputing 70(13-15), 2234–2244 (2007)CrossRefGoogle Scholar
  17. 17.
    Kobayashi, S., Tamagawa, S., Morita, T., Yamaguchi, T.: Intelligent humanoid robot with japanese wikipedia ontology and robot action ontology. In: Proceedings of the 6th International Conference on Human-Robot Interaction, pp. 417–424. ACM (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Salvatore M. Anzalone
    • 1
  • Yuichiro Yoshikawa
    • 1
  • Hiroshi Ishiguro
    • 1
  • Emanuele Menegatti
    • 2
  • Enrico Pagello
    • 2
  • Rosario Sorbello
    • 3
  1. 1.Intelligent Robotics Laboratory, Dept. of Systems Innovation, Graduate School of Engineering ScienceOsaka UniversityJapan
  2. 2.Intelligent Autonomous Systems Laboratory, Dept. of Information Engineering, Faculty of EngineeringUniversity of PaduaItaly
  3. 3.Dept. of Chemical, Management, Computer and Mechanical Engineering, Faculty of EngineeringUniversity of PalermoItaly

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