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dc.contributor.authorTate, Austinen
dc.contributor.authorBuckingham Shum, S Jen
dc.contributor.authorDalton, Jen
dc.contributor.authorMancini, Cen
dc.contributor.authorSelvin, A Men
dc.date.accessioned2008-05-08T07:48:16Z
dc.date.available2008-05-08T07:48:16Z
dc.date.issued2006-03
dc.identifier.citationTate, A., Buckingham Shum, S.J., Dalton, J, Mancini, C. and Selvin, A.M. (2006) Co-OPR: Design and Evaluation of Collaborative Sensemaking and Planning Tools for Personnel Recovery, Open University Knowledge Media Institute, Technical Report KMI-06-07, March 2006.
dc.identifier.urihttp://kmi.open.ac.uk/publications/pdf/KMI-TR-06-07.pdf
dc.identifier.urihttp://hdl.handle.net/1842/2177
dc.descriptionThe University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.en
dc.description.abstractPersonnel recovery teams must operate under intense pressure, taking into account not only hard logistics, but ‘messy’ factors such as the social or political implications of a decision. The Collaborative Operations for Personnel Recovery (Co-OPR) project has developed decision-support for sensemaking in such scenarios, seeking to exploit the complementary strengths of human and machine reasoning. Co-OPR integrates the Compendium sensemaking-support tool for real time information and argument mapping, with the I-X artificial intelligence planning and execution framework to support group activity and collaboration. Both share a common model for dealing with issues, the refinement of options for the activities to be performed, handling constraints and recording other information. The tools span the spectrum from being very flexible with few constraints on terminology and content, to knowledge-based relying on rich domain models and formal conceptual models (ontologies). In a personnel recovery experimental simulation of an UN peacekeeping operation, with roles played by military planning staff, the Co-OPR tools were judged by external evaluators to have been very effective.en
dc.contributor.sponsorDefense Advanced Research Projects Agency (DARPA)en
dc.contributor.sponsorUnited States Joint Forces Command (USJFCOM)en
dc.format.extent1532328 bytesen
dc.format.mimetypeapplication/pdfen
dc.language.isoen
dc.publisherOpen University Knowledge Media Instituteen
dc.subjectComputer Scienceen
dc.subjectInformaticsen
dc.subjectplanningen
dc.subjectdecision supporten
dc.subjectdialogue mappingen
dc.subjectdecision rationaleen
dc.subjectsearch and rescueen
dc.subjectpersonnel recoveryen
dc.subjectcollaborationen
dc.subjectsensemakingen
dc.subjectArtificial Intelligence Applications Instituteen
dc.titleCo-OPR: Design and Evaluation of Collaborative Sensemaking and Planning Tools for Personnel Recoveryen
dc.typeTechnical Reporten


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