Part of the book series:Advances in Intelligent and Soft Computing ((AINSC,volume 155))
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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 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.
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DI-CCTC, Universityof Minho, Largo do Paço, 4704-553, Braga, Portugal
Paulo Novais, Davide Carneiro, Marco Gomes & José Neves
- Paulo Novais
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- Davide Carneiro
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- Marco Gomes
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- José Neves
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Correspondence toPaulo Novais.
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Editors and Affiliations
, Centre National de la Recherche Scientif, Laboratoire d’Informatique de Grenoble, av. de la Chimie 110, Grenoble, 38041, France
Yves Demazeau
Inst. Informatik, TU Clausthal, Julius-Albert-Str. 4, Clausthal-Zellerfeld, 38678, Germany
Jörg P. Müller
Faculty of Science, Department of Computing Science, University of Salamanca, Plaza de la Merced S/N, Salamanca, 37008, Spain
Juan M. Corchado Rodríguez
Escuela Universitaria de Informática, Universidad Pontificia de Salamanca, Compañía 5, Salamanca, 37002, Spain
Javier Bajo Pérez
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Novais, P., Carneiro, D., Gomes, M., Neves, J. (2012). Non-invasive Estimation of Stress in Conflict Resolution Environments. In: Demazeau, Y., Müller, J., Rodríguez, J., Pérez, J. (eds) Advances on Practical Applications of Agents and Multi-Agent Systems. Advances in Intelligent and Soft Computing, vol 155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28786-2_17
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