Advertisement

Integrating Multi-agents in a 3D Serious Game Aimed at Cognitive Stimulation

  • Priscilla F. de Abreu
  • Luis Alfredo V. de Carvalho
  • Vera Maria B. Werneck
  • Rosa Maria E. Moreira da Costa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6774)

Abstract

Therapies for cognitive stimulation must be developed when some of the cognitive functions are not working properly. In many applications there is a strong dependence on therapist’s intervention to control the patient’s navigation in the environment and to change the difficulty level of a task. In general, these interventions, cause distractions, reducing the level of user immersion in the activities. As an alternative, the inclusion of intelligent agents can help to alleviate this problem by reducing the need of therapist involvement. This paper presents a serious game that combines the technologies of Virtual Reality and Multi-Agent Systems designed to improve the cognitive functions in patients with neuropsychiatric disorders. The integration of different technologies and the modelling methodology are described and open new software development perspectives for 3D environments construction.

Keywords

Virtual reality Multi-Agents Systems Serious Games Cognitive Stimulation 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Census. Brazilian demographic Census (2000), http://www.ibge.gov.br/home/presidencia/noticias/27062003censo.shtm (visited on January 2011)
  2. 2.
    Berger-Vachon, C.: Virtual reality and disability. Technology and Disability 18, 163–165 (2006)Google Scholar
  3. 3.
    Machado, L. S., Moraes, R.M.,. Nunes, F. L. S, Costa, R. M. E. M.: Serious Games based on Virtual Reality for Medical Education, Serious Games Baseados em Realidade Virtual para Educação Médica. Revista Brasileira de Educação Médica (in press) Google Scholar
  4. 4.
    Meijer, F., Geudeke, B.L., Broek, E.L.V.D.: Navigating through Virtual Environments: Visual Realism Improves Spatial Cognition. Cyberpsychology & Behavior 12(5) (2009)Google Scholar
  5. 5.
    Attree, E.A., Turner, M.J., Cowell, N.: A Virtual Reality Test Identifies the Visuospatial Strengths of Adolescents with Dyslexia. CyberPsychology & Behavior 12(2) (2009)Google Scholar
  6. 6.
    Josman, N., Klinger, E., Kizony, R.: Performance within the virtual action planning supermarket (VAP-S): an executive function profile of three different populations suffering from deficits in the central nervous system. In: VII International Conference Disability, Virtual Reality & Associated Technologies (ICDVRAT), Portugal, Maia (2008)Google Scholar
  7. 7.
    Sohlberg, M.M., Mateer, C.: Cognitive Rehabilitation: An Integrated Neuropsychological Approach. Guilford Publication, New York (2001)Google Scholar
  8. 8.
    Rizzo, A.A., Bowerly, T., Buckwalter, J.G., Klimchuk, D., Mitura, R., Parsons, T.D.: A Virtual Reality Scenario for All Seasons: The Virtual Classroom. CNS Spectr. 11(1), 35–44 (2006)CrossRefGoogle Scholar
  9. 9.
    Larsson, P.A., Broeren, J., Bellner, A.-L., Fogelberg, M., Goransson, O., Goude, D., Johansson, B., Pettersson, K., Rydmark, M.: Exploration of computer games in rehabilitation for brain damage. In: Proceedings VII International Conference Disability, Virtual Reality & Associated Technologies (ICDVRAT), Maia, Portugal (2008)Google Scholar
  10. 10.
    Burdea, G., Coiffet, P.: Virtual Reality Technology, 2nd edn. John Wiley & Sons, New Jersey (2003)Google Scholar
  11. 11.
    Gamito, P., Oliveira, J., Pacheco, J., Morais, D., Saraiva, T., Lacerda, T., Baptista, A., Santos, N., Soares, F., Gamito, L., Rosa, P.: Traumatic brain injury memory training: a virtual reality online solution. In: Proceedings VIII International Conference Disability, Virtual Reality & Associated Technologies, Chile (2010)Google Scholar
  12. 12.
    Wooldridge, M.J.: An Introduction to Multi-Agent Systems. John Wiley and Sons Limited, Chichester (2009)Google Scholar
  13. 13.
    Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 3rd edn. Prentice Hall, Englewood Cliffs (2009)zbMATHGoogle Scholar
  14. 14.
    Bigus, J.P., Bigus, J.: Constructing Intelligent Agents using Java, 2nd edn. Professional Developer’s Guide Series. Wiley, Chichester (2001)Google Scholar
  15. 15.
    Gago, I.S.B., Werneck, V.M.B., Costa, R.M.: Modeling an educational multi-agent system in maSE. In: Liu, J., Wu, J., Yao, Y., Nishida, T. (eds.) AMT 2009. LNCS, vol. 5820, pp. 335–346. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  16. 16.
    Rickel, J., Johnson, W.L.: STEVE: A Pedagogical Agent for Virtual Reality. In: International Conference on Autonomous Agents (1998)Google Scholar
  17. 17.
    Ramírez, J., de Antonio, A.: Automated planning and replanning in an intelligent virtual environments for training. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part I. LNCS (LNAI), vol. 4692, pp. 765–772. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  18. 18.
    Ketelhut, D.J., Dede, C., Clarke, J., Nelson, B., Bowman, C.: Studying situated learning in a multi-user virtual environment. In: Baker, E., Dickieson, J., Wulfeck, W., O’Neil, H. (eds.) Assessment of Problem Solving using Simulations. Lawrence Erlbaum Associates, Mahwah (2007)Google Scholar
  19. 19.
    Costa, R.M.E.M., Mendonca, I., Souza, D.S.: Exploring the intelligent agents for controlling user navigation in 3D games for cognitive stimulation. In: 8th International Conference on Disability, Virtual Reality and Associated Technologies, vol. 1, pp. 1–6 (2010)Google Scholar
  20. 20.
    Brutzman, D., Daly, L.: X3D: 3D Graphics for Web Authors. Morgan Kaufmann Publishers, San Francisco (2007)Google Scholar
  21. 21.
  22. 22.
  23. 23.
  24. 24.
    Yu, E., Liu, L.: Modelling trust for system design using the i* strategic actors framework. In: Falcone, R., Singh, M., Tan, Y.-H. (eds.) AA-WS 2000. LNCS (LNAI), vol. 2246, pp. 175–194. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  25. 25.
    Cenários e Léxicos (C&L), http://pes.inf.puc-rio.br/cel/
  26. 26.
    Leite, J.C.S.P., Franco, A.P.M.: A Strategy for Conceptual Model Acquisition. In: Proceedings of 1th IEEE International Symposium on Requirements Engineering, pp. 243–246. IEEE Computer Society Press, San Diego (1993)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Priscilla F. de Abreu
    • 1
  • Luis Alfredo V. de Carvalho
    • 2
  • Vera Maria B. Werneck
    • 1
  • Rosa Maria E. Moreira da Costa
    • 1
  1. 1.IME – Mestrado em Ciências Computacionais, Rua São Francisco Xavier 524- 6o andar – Bl. BUniversidade do Estado do Rio de JaneiroRio de JaneiroBrasil
  2. 2.COPPE - Programa de Eng. de Sistemas e ComputaçãoUniversidade Federal do Rio de JaneiroRio de JaneiroBrasil

Personalised recommendations