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Modelling Stress Recognition in Conflict Resolution Scenarios

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Hybrid Artificial Intelligent Systems (HAIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7208))

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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 the context information that was previously available in traditional Alternative Dispute Resolution processes. The main weakness of this approach is that conflict resolution may become focused solely on objective issues. In order to overcome this inconvenience, we move forward to incorporate context and behavioural information in an Online Dispute Resolution platform. In particular, we consider the estimation of the level of stress and the prediction of the stress state evolution. As a result, the conflict resolution platform or the mediator may predict to what extent a party is affected by a particular matter, allowing one to adapt the conflict resolution strategy to a specific scenario in real time.

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Author information

Authors and Affiliations

  1. Department of Informatics, University of Minho, Portugal

    Marco Gomes, Davide Carneiro, Paulo Novais & José Neves

Authors
  1. Marco Gomes
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  2. Davide Carneiro
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  3. Paulo Novais
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  4. José Neves
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Editor information

Editors and Affiliations

  1. Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

  2. VÅ B-TU Ostrava 17, Listopadu 15, 70833, Ostrava, Czech Republic

    Václav Snášel

  3. Machine Intelligence Research Labs(MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071, Auburn, Washington, USA

    Ajith Abraham

  4. Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

  5. University of the Basque Country, Pº Manuel Lardizabal 1, 20018, San Sebastian, Spain

    Manuel Graña

  6. Yonsei University, 134 Shinchon-dong, Sudaemoon-ku, 120-749, Seoul, Korea

    Sung-Bae Cho

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© 2012 Springer-Verlag Berlin Heidelberg

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Gomes, M., Carneiro, D., Novais, P., Neves, J. (2012). Modelling Stress Recognition in Conflict Resolution Scenarios. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28942-2_48

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  • DOI: https://doi.org/10.1007/978-3-642-28942-2_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28941-5

  • Online ISBN: 978-3-642-28942-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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