Modelling stress recognition in conflict resolution scenarios

dc.contributor.authorGomes, Marco
dc.contributor.authorCarneiro, Davide Rua
dc.contributor.authorNovais, Paulo
dc.contributor.authorNeves, José
dc.date.accessioned2013-04-23T16:33:34Z
dc.date.available2013-04-23T16:33:34Z
dc.date.issued2012
dc.date.submitted2012-12-13por
dc.description.abstractThe 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.por
dc.distributioninternationalpor
dc.identifier.doi10.1007/978-3-642-28942-2_48por
dc.identifier.isbn9783642289415por
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/1822/23800
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.publisher.uriSpringer Verlagpor
dc.rightsopenAccesspor
dc.subjectHybrid artificial intelligence systemspor
dc.subjectOnline dispute resolutionpor
dc.subjectStresspor
dc.subjectCognitive activation theory of stresspor
dc.subject.wosScience & Technologypor
dc.titleModelling stress recognition in conflict resolution scenariospor
dc.typeconferencePaperpor
dspace.entity.typePublicationen
oaire.citationEndPage544por
oaire.citationIssuePART 1por
oaire.citationStartPage533por
oaire.citationTitleLecture Notes in Computer Sciencepor
oaire.citationVolume7208por
sdum.conferencePublicationHYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PT Ipor
sdum.journalLecture Notes in Computer Sciencepor
sdum.publicationstatuspublishedpor

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