Table of Contents Author Guidelines Submit a Manuscript
Wireless Communications and Mobile Computing
Volume 2017 (2017), Article ID 9321463, 9 pages
https://doi.org/10.1155/2017/9321463
Research Article

Using Emotions in Intelligent Virtual Environments: The EJaCalIVE Framework

1Departamento de Sistemas Informáticos y Computación, Universitat Politècnica de València, València, Spain
2Centro ALGORITMI, Escola de Engenharia, Universidade do Minho, Braga, Portugal

Correspondence should be addressed to Vicente Julian; se.vpu.cisd@adalgniv

Received 29 June 2017; Revised 15 September 2017; Accepted 9 October 2017; Published 13 November 2017

Academic Editor: Javier Prieto

Copyright © 2017 Jaime A. Rincon et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L. Atzori, A. Iera, and G. Morabito, “The internet of things: a survey,” Computer Networks, vol. 54, no. 15, pp. 2787–2805, 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, “Context aware computing for the internet of things: a survey,” IEEE Communications Surveys & Tutorials, vol. 16, no. 1, pp. 414–454, 2014. View at Publisher · View at Google Scholar · View at Scopus
  3. G. J. Klir and B. Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, vol. 4, Prentice Hall, Upper Saddle River, NJ, USA, 1995. View at MathSciNet
  4. C. Björkskog, Human Computer Interaction in Smart Homes, 2007.
  5. D. N. Kiosses, J. J. Gross, S. Banerjee, P. R. Duberstein, D. Putrino, and G. S. Alexopoulos, “Negative emotions and suicidal ideation during psychosocial treatments in older adults with major depression and cognitive impairment,” The American Journal of Geriatric Psychiatry, vol. 25, no. 6, pp. 620–629, 2017. View at Publisher · View at Google Scholar · View at Scopus
  6. J. Ciarrochi, F. P. Deane, and S. Anderson, “Emotional intelligence moderates the relationship between stress and mental health,” Personality and Individual Differences, vol. 32, no. 2, pp. 197–209, 2002. View at Publisher · View at Google Scholar · View at Scopus
  7. C. Bartneck and J. Forlizzi, “A design-centred framework for social human-robot interaction,” in Proceedings of the 13th IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN '04), pp. 591–594, Kurashiki, Japan, September 2004. View at Scopus
  8. T. Fong, I. Nourbakhsh, and K. Dautenhahn, “A survey of socially interactive robots,” Robotics and Autonomous Systems, vol. 42, no. 3-4, pp. 143–166, 2003. View at Publisher · View at Google Scholar · View at Scopus
  9. M. Rambow, F. Rohrmüller, O. Kourakos et al., “A framework for information distribution, task execution and decision making in multi-robot systems,” IEICE Transaction on Information and Systems, vol. E93-D, no. 6, pp. 1352–1360, 2010. View at Publisher · View at Google Scholar · View at Scopus
  10. M. Satyanarayanan, “A catalyst for mobile and ubiquitous computing,” IEEE Pervasive Computing, vol. 1, no. 1, pp. 2–5, 2002. View at Publisher · View at Google Scholar · View at Scopus
  11. E. Mangina, J. Carbo, and J. M. Molina, Agent-Based Ubiquitous Computing, Atlantis Press, Amsterdam, the Netherlands, 2009.
  12. D.-M. Han and J.-H. Lim, “Smart home energy management system using IEEE 802.15.4 and zigbee,” IEEE Transactions on Consumer Electronics, vol. 56, no. 3, pp. 1403–1410, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. S. S. Intille, “Designing a home of the future,” IEEE Pervasive Computing, vol. 1, no. 2, pp. 76–82, 2002. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Satyanarayanan, “Pervasive computing: vision and challenges,” IEEE Personal Communications, vol. 8, no. 4, pp. 10–17, 2001. View at Publisher · View at Google Scholar · View at Scopus
  15. J. C. Augusto, “Ambient intelligence: the confluence of ubiquitous/pervasive computing and artificial intelligence,” in Intelligent Computing Everywhere, pp. 213–234, Springer, London, UK, 2007. View at Publisher · View at Google Scholar
  16. K. Ducatel, M. Bogdanowicz, F. Scapolo, J. Leijten, and J.-C. Burgelman, Scenarios for Ambient Intelligence in 2010, Office for official publications of the European Communities, 2001.
  17. NACODEAL, 2017, http://www.nacodeal.eu.
  18. R. F. Saracchini and C. A. Catalina, “An augmented reality platform for wearable assisted living systems,” Journal of Theoretical and Applied Computer Science, vol. 9, no. 1, pp. 56–79, 2015. View at Google Scholar
  19. G. Ghiani, M. Manca, F. Paternò, and C. Santoro, “End-user personalization of context-dependent applications in AAL scenarios,” in Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '16), pp. 1081–1084, Association for Computing Machinery, Florence, Italy, September 2016. View at Publisher · View at Google Scholar · View at Scopus
  20. K. Stendal, D. Thapa, and A. Lanamaki, “Analyzing the Concept of Affordances in Information Systems,” in Proceedings of the 49th Hawaii International Conference on System Sciences (HICSS '16), pp. 5270–5277, Koloa, Hawaii, USA, January 2016. View at Publisher · View at Google Scholar
  21. SoftBank Robotics, Peper, 2017, https://www.ald.softbankrobotics.com/en/robots/pepper.
  22. A. Barella, A. Ricci, O. Boissier, and C. Carrascosa, “MAM5: multi-agent model for intelligent virtual environments,” in Proceedings of the 10th European Workshop on Multi-Agent Systems (EUMAS 2012), pp. 16–30, Dublin, Ireland, December 2012.
  23. A. Omicini, A. Ricci, and M. Viroli, “Artifacts in the A&A meta-model for multi-agent systems,” Autonomous Agentsand Multi-Agent Systems, vol. 17, no. 3, pp. 432–456, 2008. View at Google Scholar
  24. A. Ricci, M. Viroli, and A. Omicini, “CArtA gO: A framework for prototyping artifact-based environments in MAS,” in Environments for Multi-Agent Systems III, vol. 4389 of Lecture Notes in Computer Science, pp. 67–86, Springer, Berlin, Germany, 2007. View at Google Scholar
  25. J. A. Rincon, J.-L. Poza-Lujan, V. Julian, J.-L. Posadas-Yagüe, and C. Carrascosa, “Extending MAM5 meta-model and JaCalIV E framework to integrate smart devices from real environments,” PLoS ONE, vol. 11, no. 2, Article ID e0149665, pp. 1–27, 2016. View at Publisher · View at Google Scholar · View at Scopus
  26. A. Mehrabian, “Analysis of affiliation-related traits in terms of the PAD Temperament model,” The Journal of Psychology, vol. 131, no. 1, pp. 101–117, 1997. View at Publisher · View at Google Scholar
  27. J. A. Russell, “A circumplex model of affect,” Journal of Personality and Social Psychology, vol. 39, no. 6, pp. 1161–1178, 1980. View at Publisher · View at Google Scholar · View at Scopus
  28. J. A. Rincon, A. Costa, P. Novais, V. Julian, and C. Carrascosa, “A dynamic emotional model for agent societies,” in Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, vol. 9662 of Lecture Notes in Computer Science, pp. 169–182, Springer International Publishing, Cham, Switzerland, 2016. View at Publisher · View at Google Scholar
  29. J. A. Rincon, V. Julian, and C. Carrascosa, “Social emotional model,” in Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, vol. 9086 of Lecture Notes in Computer Science, pp. 199–210, Springer International Publishing, Cham, Switzerland, 2015. View at Publisher · View at Google Scholar
  30. Y. Huang, H. Yao, S. Zhao, and Y. Zhang, “Towards more efficient and flexible face image deblurring using robust salient face landmark detection,” Multimedia Tools and Applications, vol. 76, no. 1, pp. 123–142, 2017. View at Publisher · View at Google Scholar · View at Scopus
  31. J. A. Rincon, J. Bajo, A. Fernandez, V. Julian, and C. Carrascosa, “Using emotions for the development of human-agent societies,” Frontiers of Information Technology & Electronic Engineering, vol. 17, no. 4, pp. 325–337, 2016. View at Google Scholar
  32. J. A. Rincon, Â. Costa, P. Novais, V. Julian, and C. Carrascosa, “Using non-invasive wearables for detecting emotions with intelligent agents,” in International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, vol. 527 of Advances in Intelligent Systems and Computing, pp. 73–84, Springer International Publishing, Cham, Switzerland, 2017. View at Publisher · View at Google Scholar · View at Scopus
  33. F. Durupinar, J. Allbeck, N. Pelechano, and N. Badler, “Creating crowd variation with the OCEAN personality model,” in Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS '08), vol. 3, pp. 1217–1220, Estoril, Portugal, May 2008. View at Scopus
  34. A. Mehrabian, “Analysis of the big-five personality factors in terms of the PAD temperament model,” Australian Journal of Psychology, vol. 48, no. 2, pp. 86–92, 1996. View at Publisher · View at Google Scholar · View at Scopus