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Non-invasive Estimation of Stress in Conflict Resolution Environments

  • Paulo NovaisEmail author
  • Davide Carneiro
  • Marco Gomes
  • José Neves
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 155)

Abstract

The current trend in Online Dispute Resolution focuses mostly on the development of technological tools that allow parties to solve conflicts through telecommunication means. However, this tendency leaves aside key issues, namely our concern with respect to context information that was previously available in traditional Alternative Dispute Resolution processes. The main weakness of this approach is that conflict resolution may become a cold process, focused solely on objective questions. In order to overcome this inconvenience, we move forward to incorporate context information in an Online Dispute Resolution platform. In particular, we consider the estimation of the level of stress of the users by analyzing their interaction patterns. As a result, the conflict resolution platform or the mediator may weight to what extent a party is affected by a particular matter, allowing one to adapt the conflict resolution strategy to a specific problem in real time.

Keywords

Multi-agent systems Online Dispute Resolution Stress Influence Diagram Model 

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References

  1. 1.
    Larson, D.: Technology Mediated Dispute Resolution. In: Proceeding of the 2007 Conference on Legal Knowledge and Information Systems: JURIX 2007: The Twentieth Annual Conference, IOS Press, Amsterdam (2007)Google Scholar
  2. 2.
    Mehrabian, A.: Silent Messages – A Wealth of Information about Nonverbal Communication. Personality & Emotion Tests & Software (2009)Google Scholar
  3. 3.
    Aarts, E., Grotenhuis, F.: Ambient Intelligence 2.0: Towards Synergetic Prosperity. Journal of Ambient Intelligence and Smart Environments 3, 3–11 (2011)Google Scholar
  4. 4.
    Lewick, R., Weiss, S., Lewin, D.: Models of Conflict, Negotiation and Third Party Intervention: A Review and Synthesis. Journal of Organizational Behavior 13(3), 209–252 (1992)CrossRefGoogle Scholar
  5. 5.
    Mulligan, E.: Approaches to measuring stress - A literature review (2007), http://www.superstar.org.uk/Resume/EdMulligan/Postgrad/StressLiteratureReview.pdf (accessed September 2011)
  6. 6.
    Jones, F., Kinman, G.: Approaches to Studying Stress. In: Jones, F., Bright, J. (eds.) Stress: Myth, Theory and Research. Pearson Education, Harlow (2001)Google Scholar
  7. 7.
    Liao, W., Zhang, W., Zhu, Z., Ji, Q.: A Decision Theoretic Model for Stress Recognition and User Assistance. Presented at the Twentieth National Conference on Artificial Intelligence (AAAI 2005) (2005) Google Scholar
  8. 8.
    Howard, R.A., Matheson, J.: Readings on the Principles and Applications of Decision Analysis. Strategic Decisions Group, Menlo Park (1981)Google Scholar
  9. 9.
    Pearl, J.: Probabilistic reasoning in intelligent systems: networks of plausible inferences. Morgan Kaufman Publishers (1988)Google Scholar
  10. 10.
    Novais, P., Costa, R., Carneiro, D., Neves, J.: Inter-Organization Cooperation for Ambient Assisted Living. Journal of Ambient Intelligence and Smart Environments 2(2), 179–195 (2010); ISSN: 1876-1364Google Scholar
  11. 11.
    Wooldridge, M., Jennings, N.R.: Intelligent Agents: theory and practice. The Knowledge Engineering Review, 115–152 (1995)Google Scholar
  12. 12.
    Carneiro, D., Novais, P., Costa, R., Neves, J.: Developing Intelligent Environments with OSGi and JADE. In: Bramer, M. (ed.) IFIP AI 2010. IFIP AICT, vol. 331, pp. 174–183. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  13. 13.
    Carneiro, D., Novais, P., Costa, R., Neves, J.: Enhancing the Role of Multi-agent Systems in the Development of Intelligent Environments. In: Demazeau, Y., Dignum, F., Corchado, J.M., Bajo, J., Corchuelo, R., Corchado, E., Fernández-Riverola, F., Julián, V.J., Pawlewski, P., Campbell, A. (eds.) Trends in PAAMS 2010. AISC, vol. 71, pp. 123–130. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  14. 14.
    Carneiro, D., Novais, P., Neves, J.: An Agent-Based Architecture for Multifaceted Online Dispute ResolutionTools. In: Mehrotra, K.G., Mohan, C., Oh, J.C., Varshney, P.K., Ali, M. (eds.) Developing Concepts in Applied Intelligence. SCI, vol. 363, pp. 89–94. Springer, Heidelberg (2011); ISBN: 978-3-642-21331-1CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Paulo Novais
    • 1
    Email author
  • Davide Carneiro
    • 1
  • Marco Gomes
    • 1
  • José Neves
    • 1
  1. 1.DI-CCTCUniversityof MinhoBragaPortugal

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