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Game execution control by analysis of player's behavior

Published:14 June 2006Publication History

ABSTRACT

Within the context of the games execution control, our objective is to define a model able to analyse the player's behavior from heterogeneous data. It concerns events generated by the player's actions. These events are the result of analysis of video stream (for gaze direction, head movement, etc.) and actions carried out on the controls elements (mouse click, entry selection, button, etc). The interest of such a model is the recognition of player's behaviors in order to control the execution of the game. We have applied our research results to an interactive environment of educational games for autistic children.

References

  1. A. Billard. Play, dreams and imitation in robota. In Proceeding AAAI Fall Symposium Socially Intelligent Agents - The Human in the Loop, 2000.]]Google ScholarGoogle Scholar
  2. C. Breazeal and B. Scassellati. How to build robots that make friends and influence people. In Proceeding IROS99, Kyonjiu: Korea, 1999.]]Google ScholarGoogle Scholar
  3. K. Dautenhahn. Design issues on interactive environments for children with autism. In Proceeding 3rd Intl Conf. Disability, Virtual Reality & Assoc. Tech, pages 153--159, Alghero, Italy, 2000.]]Google ScholarGoogle Scholar
  4. D. Devigne, P. Mathieu, and J. Routier. Interaction-based approach for game agents. In Proceedings of ECMS/SCS/IEEE 19th European Conference on Modelling and Simulation, pages 705--714, 2005.]]Google ScholarGoogle Scholar
  5. R. Doron and R. Parot. Dictionnaire de psychologie. 1991.]]Google ScholarGoogle Scholar
  6. M. Fabri and D. Moore. The use of emotionally expressive avatars in collaborative virtual environments. In Proceeding of Symposium on Empathic Interaction with Synthetic Characters, held at Artificial Intelligence and Social Behaviour Convention 2005 (AISB 2005), University of Hertfordshire, 2005.]]Google ScholarGoogle Scholar
  7. M. Minsky. A framework for Representing Knowledge. The Psychology of Computer Vision, MacGraw-Hill, New York, wiston (ed.) edition, 1975.]]Google ScholarGoogle Scholar
  8. J. Montemayor. Physical programming: tools for kindergarten children to author physical interactive environments. Thse de doctorat, department of computer science, University of Maryland, USA, 2003.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. B. Robins, K. Dautenhahn, R. te Boekhorst, and A. Billard. Effects of repeated exposure of a humanoid robot on children with autism. In Universal Access and Assistive Technology (CWUAAT), Cambridge, UK, Mars 2004.]]Google ScholarGoogle Scholar
  10. N. Rota and M. Thonnat. Activity recognition from video sequences using declarative models. In ECAI, pages 673--680, 2000.]]Google ScholarGoogle Scholar
  11. K. Sehaba, V. Courboulay, and P. Estraillier. Interactive system by observation and analysis of behavior for children with autism. Accept Technology and Disability Journal, 2006.]]Google ScholarGoogle Scholar
  12. K. Sehaba, P. Estraillier, and D. Lambert. Interactive educational games for autistic children with agent-based system. In 4th International Conference on Entertainment Computing (ICEC'05), number 3711 in Lecture Notes in Computer Science (LNCS), pages 422--432, Sanda, Japan, September 2005. Springer.]] Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. O. Sigaud. Comportements adaptatifs pour des agents dans des environnements informatiques complexes. Habilitation diriger des recherches, Universit PARIS 6, 2004.]]Google ScholarGoogle Scholar
  14. D. Thalmann. The foundations to build a virtual human society. In Springer-Verlag, editor, Intelligent Virtual Actors (IVA), Lecture Notes in Artificial Intelligence (2190), pages 1--14, Madrid, Spain, 2001.]] Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      ACE '06: Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology
      June 2006
      572 pages
      ISBN:1595933808
      DOI:10.1145/1178823

      Copyright © 2006 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 14 June 2006

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