Towards Socio-Chronobiological Computational Human Models

  • Francisco Campuzano
  • Emilio Serrano
  • Juan A. Botía
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7637)

Abstract

Testing and validating Ambient Intelligence (AmI) services by living labs is not always feasible. The costs involved, specially when considering a large number of users, may be prohibitive. In these cases, an artificial society is required to test the AmI software in a simulated environment. Numerous methodologies deal with the modeling of agents, but this paper contributes with a methodology capable of modeling human beings by using agents, CHROMUBE. This methodology is extended in this paper to include social interactions in its models. This extension of the methodology employs an architecture which maximizes code reuse and allows developers to model numerous kind of interactions (p.e.: voice, e-mail conversations, light panels ads, phone calls, etcetera). An implementation of the architecture is also given with UbikSim and a case study illustrates its use and potential.

Keywords

ambient intelligence testing validation social simulation chronobiology interactions 
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References

  1. 1.
  2. 2.
  3. 3.
    Anastassakis, G., Panayiotopoulos, T., Ritchings, T.: Virtual Agent Societies with the mVITAL Intelligent Agent System. In: de Antonio, A., Aylett, R.S., Ballin, D. (eds.) IVA 2001. LNCS (LNAI), vol. 2190, pp. 112–125. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  4. 4.
    Arthur, W.: On Designing Economic Agents that Behave like Human Agents. Journal of Evolutionary Economics 3(1), 1–22 (1993)CrossRefGoogle Scholar
  5. 5.
    Becheiraz, P., Thalmann, D.: A Behavioral Animation System for Autonomous Actors Personified by Emotions. In: 1998 Workshop on Embodied Conversational Characters, WECC 1998 (1998)Google Scholar
  6. 6.
    Campuzano, F., Botia, J., Villa, A.: Chronobiology Applied to the Development of Human Behavior Computational Models. Journal of Ambient Intelligence and Smart Environments (to appear)Google Scholar
  7. 7.
    Chittaro, L., Serra, M.: Behavioral Programming of Autonomous Characters Based on Probabilistic Automata and Personality. Computer Animation and Virtual Worlds 15(34), 319–326 (2004)CrossRefGoogle Scholar
  8. 8.
    FIPA: FIPA ACL Message Structure Specification (2002)Google Scholar
  9. 9.
    García-Valverde, T., García-Sola, A., Lopez-Marmol, F., Botia, J.A.: Engineering Ambient Intelligence Services by Means of MABS. In: Demazeau, Y., et al. (eds.) Trends in PAAMS. AISC, vol. 71, pp. 37–44. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  10. 10.
    Halberg, F., Carandente, F., Cornelissen, G., Katinas, G.S.: Glossary of Chronobiology, Chronobiologia, vol. 4. Intl. Society for Chronobiology (1977)Google Scholar
  11. 11.
    Liu, Y., O’Grady, M.J., O’Hare, G.M.P.: Scalable Context Simulation for Mobile Applications. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM 2006 Workshops. LNCS, vol. 4278, pp. 1391–1400. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  12. 12.
    Nishikawa, H., Yamamoto, S., Tamai, M., Nishigaki, K., Kitani, T., Shibata, N., Yasumoto, K., Ito, M.: UbiREAL – Realistic Smartspace Simulator for Systematic Testing. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 459–476. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  13. 13.
    Noser, H., Thalmann, D.: Towards Autonomous Synthetic Actors. In: Kunii, T., Luciani, A. (eds.) Synthetic Worlds. John Wiley and Sons (1995)Google Scholar
  14. 14.
    Pentland, A.S.: Honest Signals – How They Shape Our World. The MIT Press (2008)Google Scholar
  15. 15.
    Ramos, C.: Ambient Intelligence – A State of the Art from Artificial Intelligence Perspective. In: Neves, J., Santos, M.F., Machado, J.M. (eds.) EPIA 2007. LNCS (LNAI), vol. 4874, pp. 285–295. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  16. 16.
    de Ruyter, B., van Loenen, E., Teeven, V.: User Centered Research in ExperienceLab. In: Schiele, B., et al. (eds.) AmI 2007. LNCS, vol. 4794, pp. 305–313. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  17. 17.
    Serrano, E., Botia, J.: Validating Ambient Intelligence Based Ubiquitous Computing Systems by Mans of Artificial Societies. Information Sciences (2010) (in press)Google Scholar
  18. 18.
    Thalmann, D., Musse, S., Kallmann, M.: Virtual Humans’ Behaviour – Individuals, Groups, and Crowds. In: International Conference on Digital Media Futures, pp. 1–14 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Francisco Campuzano
    • 1
  • Emilio Serrano
    • 1
  • Juan A. Botía
    • 1
  1. 1.University of MurciaMurciaSpain

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