Skip to main content
SpringerLink
Log in

Distributing emotional services in Ambient Intelligence through cognitive agents

  • Original Research Paper
  • Published:
Service Oriented Computing and Applications Aims and scope Submit manuscript

Abstract

Ambient Intelligence (AmI) is a pervasive computing paradigm whose main aim is to design smart environments composed of invisible, connected, intelligent and interactive systems, which are naturally sensitive and responsive to the presence of people, providing advanced services for improving the quality of life. Nevertheless, AmI systems are more than a simple integration among computer technologies; indeed, their design can strongly depend upon psychology and social sciences aspects describing, analysing and forecasting the human being status during the system’s decision making. This paper introduces a novel methodology for AmI systems designing that exploits a service-oriented architecture whose functionalities are performed by a collection of so-called cognitive agents. These agents exploit a novel extension of Fuzzy Cognitive Maps benefiting on the theory of Timed Automata and a formal method for representing human moods in order to distribute emotional services able to enhance users’ comfort and simplify the human/systems interactions. As will be shown in experimental results, where a usability study and a confirmation of expectations test have been performed, the proposed approach maximizes the system’s usability in terms of efficiency, accuracy and emotional response.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Aarts EHL, Eggen B (eds) (2002) Ambient Intelligence in HomeLab. Neroc

  2. Acampora G, Loia V (2005) Fuzzy control interoperability and scalability for adaptive domotic framework. IEEE Trans Ind Inf 1(2): 97–111

    Article  Google Scholar 

  3. Acampora G, Loia V, Nappi M, Ricciardi S (2005) Hybrid computational intelligence for ambient intelligent environments. In: Szczepaniak PS, Kacprzyk J, Niewiadomski A (eds) Advances in web intelligence, lecture notes in computer science, vol 3528. Springer, Berlin/Heidelberg, pp 26–31

    Google Scholar 

  4. Acampora G, Loia V, Nappi M, Ricciardi S (2006) A semantic view for flexible communication models between humans, sensors and actuators. In: Systems, man and cybernetics, 2006. SMC ’06. IEEE international conference on, vol 5, pp 3640–3646

  5. Al-Hindawe J (1996) Considerations when constructing a semantic differential scale. La Trobe Papers in Linguistics 9(7)

  6. Anderson EW, Sullivan MW (1993) The antecedents and consequences of customer satisfaction for firms. Mark Sci 12(2): 125–143

    Article  Google Scholar 

  7. Buck R (1990) Review: mood and emotion: a comparison of five contemporary views. Psychol Inq (4):330–336

  8. Ceccaroni L, Verdaguer X (2004) Agent-oriented, multimedia, interactive services in home automation. In: Proceedings of the second European workshop on multi-agent systems (EUMAS 2004)

  9. Doctor F, Hagras H, Callaghan V (2005) An intelligent fuzzy agent approach for realising ambient intelligence in intelligent inhabited environments. IEEE Trans Syst Man Cybernet Part A Syst Hum 35(1): 55–65

    Article  Google Scholar 

  10. Gaeta M, Capuano N, Gaeta A, Orciuoli F, Pappacena L, Ritrovato P (2004) A service oriented virtual organisation for elearning. In: Learning grid of excellence working group

  11. Gal CL, Martin J, Lux A, Crowley JL (2001) Smart office: design of an intelligent environment. IEEE Intelligent Systems 16: 60–66. doi:10.1109/5254.941359

    Google Scholar 

  12. Hagras H (2007) Embedding computational intelligence in pervasive spaces. IEEE Pervasive Comput 6: 85–89

    Article  Google Scholar 

  13. Kientz JA, Patel SN, Jones B, Price E, Mynatt ED, Abowd GD (2008) The georgia tech aware home. In: CHI ’08: CHI ’08 extended abstracts on Human factors in computing systems. ACM, New York, pp 3675–3680, doi:10.1145/1358628.1358911

  14. Linda G, Oliver RL (1979) Multiple brand analysis of expectation and disconfirmation effects on satisfaction. In: Proceedings 87th annual convention of the American psychological association

  15. Maes P (1994) Agents that reduce work and information overload. Commun ACM 37(7): 30–40

    Article  Google Scholar 

  16. Magerkurth C, Etter R, Janse M, Kela J, Kocsis O, Ramparany F (2006) An intelligent user service architecture for networked home environments. In: Proceedings of the 2nd international conference on intelligent environments, pp 361–370

  17. Marreiros G, Santos R, Ramos C, Neves J, Novais P, Machado J, Bulas-Cruz J (2007) Ambient Intelligence in emotion based ubiquitous decision making

  18. Mateou NH, Andreou AS (2008) A framework for developing intelligent decision support systems using evolutionary Fuzzy Cognitive Maps. J Intell Fuzzy Syst 19(2): 151–170

    MATH  Google Scholar 

  19. Oliver RL (1977) Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation. J Appl Psychol 62: 480–486

    Article  Google Scholar 

  20. Oliver RL (1980) A cognitive model for the antecedents and consequences of satisfaction. J Mark Res 17: 460–469

    Article  Google Scholar 

  21. Rivera-Illingworth F, Hagras H, Callaghan V (2006) Automated discovery of human activities inside pervasive living spaces. In: Pervasive computing and applications, 2006 1st international symposium on, pp 77–82

  22. Russell SJ, Norvig P (2003) Artificial intelligence: a modern approach. Pearson Education, NJ

    Google Scholar 

  23. Rutishauser U, Joller J, Douglas R (2005) Control and learning of ambience by an intelligent building. IEEE Trans Syst Man Cybernet Part A Syst Hum 35(1): 121–132

    Article  Google Scholar 

  24. Spanoudakis N, Moraitis P (2008) An ambient intelligence application integrating agent and service-oriented technologies. In: Research and Development in Intelligent Systems XXIV, Springer London, chap 9, pp 393–398

  25. Thayer RB (1989) The biopsychology of mood and arousal. Oxford University Press, Oxford

    Google Scholar 

  26. Tse DK, Wilton PC (1988) Models of consumer satisfaction: an extension. J Mark Res 25: 204–212

    Article  Google Scholar 

  27. Wooldridge MJ (2000) Reasoning about rational agents. Intelligent robots and autonomous agents series. The MIT Press, Cambridge

    Google Scholar 

  28. Zhou J, Kallio P (2005) Ambient emotion Intelligence: from business-awareness to emotion-awareness. In: Proceeding of 17th international conference on systems research, informatics and cybernetics

  29. Zhou J, Yu C, Riekki J, Karkkainen E (2007) Ame framework: a model for emotion-aware ambient intelligence. In: The second international conference on affective computing and intelligent interaction (ACII2007)

Download references

Author information

Authors and Affiliations

  1. Department of Mathematics and Computer Science, University of Salerno, Fisciano, Salerno, 84084, Italy

    Giovanni Acampora, Vincenzo Loia & Autilia Vitiello

Authors
  1. Giovanni Acampora
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vincenzo Loia
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Autilia Vitiello
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Giovanni Acampora.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Acampora, G., Loia, V. & Vitiello, A. Distributing emotional services in Ambient Intelligence through cognitive agents. SOCA 5, 17–35 (2011). https://doi.org/10.1007/s11761-011-0078-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11761-011-0078-7

Keywords

Search

Navigation