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      Collective Decision-Making in Complex Situations: a Dynamic Role in Alert Management

      1 , 2 , 5 , 1 , 3 , 4 , 2 , 5

      9th Bi-annual International Conference on Naturalistic Decision Making (NDM9) (NDM)

      Naturalistic Decision Making (NDM9)

      23 - 26 June 2009

      Inter-individual collaboration and co-operation, team activity analysis, decision-making, alert management, complex and time-constrained situation

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Motivation – This paper presents collective processes analysis in command and control activities. Research approach – Our objective is to describe the collective activities during alert management situations using the EORCA method (Event Oriented Representation of Collaborative Activities). Findings/Design –Data analysis allows us to characterize different inter-individual processes: co-operation and collaboration. Results show that they consist mainly in primarily communication procedures between experts during the varying phases of about management. Research limitations/Implications – Only one setting (epidemiological alert management) was investigated in this study, which limited a possible generalisation of the findings. Originality/Value – The research makes a contribution to the need of designers to target specific collective processes used in alert management by creating specific design for crisis centre. Take away message – Different team activity processes occur during the course of action in alert management, which correspond to specific phases: cooperation during information elements acquisition; collaboration during situation assessment and decision making phases.

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          Most cited references 5

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          1. How to make automated systems team players

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            Cooperation, reliability of socio-technical systems and allocation of function

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              Extending the event calculus for tracking epidemic spread.

              The email reporting system has been recognized as a key tool for early warning of disease outbreaks and surveillance of emerging diseases. The aim of the work reported here was to develop a formal language for building an event-centered representation of outbreak histories, described by outbreak reports, which could be used for tracking the spread of epidemics. The SpatioTemporal Extended Event Language (STEEL) we have built is an extension of the Event Calculus that is based on joint spatial and temporal location of event occurrences and structured conglomeration of events. This language allows us to represent and build aggregates of events, according to their spatiotemporal location. In a proof of concept study, this language was implemented in Prolog. A trial corpus of 35 outbreak reports from a PROMED-Mail diffusion list was hand coded in an experimental implementation of STEEL. The performances of this language were compared with three human experts during a question and answer task on this corpus. The experiment showed agreement between responses of the experts and the system. STEEL ensures the spatial and temporal location of event occurrence. The resulting representation is very close to the narrative. Further work must be made to develop a system capable of automatically modeling outbreak reports.
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                Author and article information

                Contributors
                Conference
                June 2009
                June 2009
                : 331-338
                Affiliations
                [ 1 ]Research center in Psychology of Cognition, Language and

                Emotion (PSYCLE, E.A 3273)

                Aix-Marseille University
                [ 2 ]Laboratoire d’Enseignement et de Recherche sur le

                Traitement de l’Information Médicale (LERTIM, EA 3283)

                Faculty of Medecine, Aix Marseille University
                [ 3 ]University Institute of France
                [ 4 ]

                Department of Telemedicine

                Institut de Médecine Navale du Service de Santé des Armées (IMNSSA), TOULON
                [ 5 ]

                Unité de Recherche Epidémiologique - Département d’Epidémiologie et de Santé Publique

                Institut de Médecine Tropicale du Service de Santé des Armées (IMTSSA)
                Article
                10.14236/ewic/NDM2009.56
                © Charlotte Gaudin et al. Published by BCS Learning and Development Ltd. 9th Bi-annual International Conference on Naturalistic Decision Making (NDM9), BCS London

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                9th Bi-annual International Conference on Naturalistic Decision Making (NDM9)
                NDM
                9
                BCS London
                23 - 26 June 2009
                Electronic Workshops in Computing (eWiC)
                Naturalistic Decision Making (NDM9)
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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