Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/23800

TitleModelling stress recognition in conflict resolution scenarios
Author(s)Gomes, Marco
Carneiro, Davide Rua
Novais, Paulo
Neves, José
KeywordsHybrid artificial intelligence systems
Online dispute resolution
Stress
Cognitive activation theory of stress
Issue date2012
PublisherSpringer
JournalLecture Notes in Computer Science
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/23800
ISBN9783642289415
DOI10.1007/978-3-642-28942-2_48
ISSN0302-9743
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CCTC - Artigos em revistas internacionais

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