Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/15598

TitleAutomatic classification of personal conflict styles in conflict resolution
Author(s)Carneiro, Davide Rua
Gomes, Marco
Novais, Paulo
Andrade, Francisco Carneiro Pacheco
Neves, José
KeywordsOnline Dispute Resolution
Intelligent Environments
Conflict Styles
Profiling
Issue date2011
PublisherIOS Press
JournalFrontiers in Artificial Intelligence and Applications
Abstract(s)The use of technology to support conflict resolution is nowadays well established. Moreover, technological solutions are not only used to solve traditional conflicts but also to solve conflicts that emerge in virtual environments. Therefore, a new field of research has been developing in which the use of Artificial Intelligence techniques can significantly improve the conflict resolution process. In this paper we focus on developing conflict resolution models that are able to classify the disputant parties according to their personal conflict style. Moreover, we present a dynamic conflict resolution model that is able to use that information to adapt strategies in real time according to significant changes in the context of interaction. To do it we follow a novel approach in which an intelligent environment supports the lifecycle of the conflict resolution model with the provision of important context knowledge.
TypeConference paper
DescriptionCarneiro D., Gomes M., Novais P., Andrade F., Neves J. Automatic Classification of Personal Conflict Styles in Conflict Resolution. In Legal Knowledge and Information Systems - JURIX 2011: The Twenty-Fourth Annual Conference, Katie M. Atkinson (Ed), IOS Press - Frontiers in Artificial Intelligence and Applications, Vol. 235, ISBN 978-1-60750-980-6, pp 43-52, 2011.
URIhttp://hdl.handle.net/1822/15598
ISBN978-1-60750-980-6
DOI10.3233/978-1-60750-981-3-43
ISSN0922-6389
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DI/CCTC - Artigos (papers)
ED/DCJPs - Comunicações e conferências

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