Skip to main content
SpringerLink
Log in

SMEC-3D: A Multi-agent 3D Game to Cognitive Stimulation

  • Conference paper
  • First Online:
Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection (PAAMS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 887))

Abstract

Multi-agents are being increasingly used in many areas, especially in Health Systems. In a game the agents’ paradigm provides more autonomy, intelligence and pro-activity. In this context, Multi-agents systems can be used to control the user performance, by adapting the interface to the difficulty tasks level. This paper aims at describing the development process of SMEC-3D, a cognitive stimulation game that integrates Virtual Reality and Multi-agent technologies. The SMEC-3D modeling process used i* (i-star) framework to model the goals, agents, domain, plans and tasks. The game objective is to improve attention and memory of patients with neuropsychiatric disorders. The paper describes the development process specially the agents’ methodology. The resulted SMEC-3D game showed that the combination of tools and programming languages applied to this experiment worked efficiently.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Anderson, K.R., Woodbury, M.L., Phillips, K., Gauthier, L.V.: Virtual reality video games to promote movement recovery in stroke rehabilitation: a guide for clinicians. Arch. Phys. Med. Rehabil. 96(5), 973–976 (2015)

    Article  Google Scholar 

  2. Gamito, P., Oliveira, J., Coelho, C., et al.: Cognitive training on stroke patients via virtual reality-based serious games. Disabil. Rehabil. 39(4), 385–388 (2017)

    Article  Google Scholar 

  3. Burdea, G.C., Polistico, K., House, G.P., Liu, R.R., Muñiz, R., Macaro, N.A., Slater, L.M.: Novel integrative virtual rehabilitation reduces symptomatology of primary progressive aphasia-a case report. Int. J. Neurosci. 125(12), 949–958 (2015)

    Article  Google Scholar 

  4. Berger-Vachon, C.: Virtual reality and disability. Technol. Disabil. 18, 163–165 (2006)

    Google Scholar 

  5. Connolly, T.M., Boyle, E.A., MacArthur, E., Hainey, T., Boyle, J.M.: A systematic literature review of empirical evidence on computer games and serious games. Comput. Educ. 59(2), 661–686 (2012)

    Article  Google Scholar 

  6. Lange, B.S., Requejo, P., Flynn, S.M., Rizzo, A.A., Valero-Cuevas, F.J., Baker, L., Winstein, C.: The potential of virtual reality and gaming to assist successful aging with disability. Phys. Med. Rehabil. Clin, North Am. 21(2), 339–356 (2010)

    Article  Google Scholar 

  7. Howes, S.C., Charles, D.K., Marley, J., Pedlow, K., McDonough, S.M.: Gaming for health: systematic review and meta-analysis of the physical and cognitive effects of active computer gaming in older adults. Phys. Ther. 97(12), 1122–1137 (2017)

    Article  Google Scholar 

  8. Laver, K., George, S., Thomas, S., Deutsch, J.E., Crotty, M.: Virtual reality for stroke rehabilitation. Stroke 43(2), e20–e21 (2012)

    Article  Google Scholar 

  9. Werneck, V.M.B., Costa, R.M.E.M., Cysneiros, L.M.: Modelling multi-agents systems using different methodologies. In: Alkhateeb, F., Maghayreh, E., Doush, I.A. (eds.) Multi-Agent System: Modelling, Interactions, Simulations and Case Studies, pp. 77–96. Intech, Rijeka (2011)

    Google Scholar 

  10. Wooldridge, M.J.: An Introduction to Multi-Agent Systems. Wiley, Chichester (2009)

    Google Scholar 

  11. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 3rd edn. Prentice Hall, Englewood Cliffs (2009)

    MATH  Google Scholar 

  12. Riedmann, P., et al.: RIVALE: a prototype realistic immersive virtual agent-based learning environment case study for learning requirements elicitation skills. In: Proceedings of the AIS SIG-ED IAIM 2013 Conference (2013)

    Google Scholar 

  13. Ferreira, V.M.F., Carvalho, J.C.C., Werneck, V.M.B., da Costa, R.M.E.M.: Developing an educational medical game using AgilePASSI multi-agent methodology. In: IEEE 28th International Symposium on Computer-Based Medical Systems, pp. 298–303 (2015)

    Google Scholar 

  14. Vaughan, N., Gabrys, B., Dubey, V.N.: An overview of self-adaptive technologies within virtual reality training. Comput. Sci. Rev. 22, 65–87 (2016)

    Article  MathSciNet  Google Scholar 

  15. da 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 

  16. Yu, E.: Modeling strategic relationships for process reengineering. In: Yu, E., Giorgini, P., Maiden, N., Mylopoulos, J. (eds.) Social Modeling Engineering (2011)

    Google Scholar 

  17. Hight, J., Novak, J.: Game Development Essentials: Game Project Management. Thomson, Clifton Park (2007)

    Google Scholar 

  18. Pan, Z., Cheok, A.D., Yang, H., Zhu, J., Shi, J.: Virtual reality and mixed reality for virtual learning environments. Comput. Graph. 30, 20–28 (2006)

    Article  Google Scholar 

  19. Tetris. http://www.tetris.com. Accessed Feb 2018

  20. JAVA3D. http://java.sun.com/javase/technologies/desktop/java3d/. Accessed Feb 2018

  21. Brutzman, D., Daly, L.: X3D: 3D Graphics for Web Authors. Morgan Kaufmann Publishers, Los Altos (2007)

    Google Scholar 

  22. NETLogo. http://ccl.northwestern.edu/netlogo. Accessed Feb 2018

  23. JADE. http://jade.tilab.com/. Accessed Feb 2018

  24. JAVA. http://www.java.com/pt_BR/. Accessed Feb 2018

  25. JAVAScript. http://www.javascript.com/. Accessed Feb 2018

  26. MySQL. http://www.mysql.com. Accessed Feb 2018

  27. Netbeans. http://netbeans.org/. Accessed Feb 2018

  28. Gomes, E.R.: A model based on intelligent agents FIPA platform for distance learning environments. Final Work, Federal University of Pelotas, RS, Brasil (2005). (in Portuguese)

    Google Scholar 

Download references

Acknowledgments

This work is part of the “Instituto Nacional de Ciencia e Tecnologia - Medicina Assistida por Computação Cientifica” (Medicine assisted by Scientific Computation), Brazil. Grant E-26/170.030/2008.

Author information

Authors and Affiliations

  1. Centro Universitário CARIOCA, Rio de Janeiro, Brazil

    Priscilla Braz

  2. Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil

    Vera Maria B. Werneck & Rosa Maria E. Moreira da Costa

  3. Petrobrás, Rio de Janeiro, Brazil

    Herbet de Souza Cunha

Authors
  1. Priscilla Braz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vera Maria B. Werneck
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Herbet de Souza Cunha
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Rosa Maria E. Moreira da Costa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rosa Maria E. Moreira da Costa .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Departamento de Informática y Automática, Universidad de Salamanca, Salamanca, Spain

    Juan M. Corchado

  3. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Elena María Navarro Martínez

  4. TECNALIA, Derio, Spain

    Eneko Osaba Icedo

  5. Lille University of Science and Technology, Villeneuve d’Ascq, France

    Philippe Mathieu

  6. Poznan University of Technology, Poznan, Poland

    Patrycja Hoffa-Dąbrowska

  7. Polytechnic University of Valencia, Valencia, Spain

    Elena del Val

  8. Faculté des Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada

    Sylvain Giroux

  9. University of Porto, Porto, Portugal

    Antonio J.M. Castro

  10. Rio de Janeiro State University, Rio de Janeiro, Brazil

    Nayat Sánchez-Pi

  11. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián

  12. Informatica e Estatistica, Universidade Federal de Santa Catar, Florianopolis, Santa Catarina, Brazil

    Ricardo Azambuja Silveira

  13. Universidad Rey Juan Carlos, Móstoles, Madrid, Spain

    Alberto Fernández

  14. ICB, Universität Duisburg-Essen, Essen, Germany

    Rainer Unland

  15. Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain

    Rubén Fuentes-Fernández

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Braz, P., Werneck, V.M.B., de Souza Cunha, H., da Costa, R.M.E.M. (2018). SMEC-3D: A Multi-agent 3D Game to Cognitive Stimulation. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-319-94779-2_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-94779-2_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94778-5

  • Online ISBN: 978-3-319-94779-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation