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Monitoring and Analysis of Command Post Communication in Rescue Operations
Linköping University, Department of Computer and Information Science.
Visuell Systemteknik i Linköping AB, Linköping, Sweden.
Visuell Systemteknik i Linköping AB, Linköping, Sweden.
Swedish Armed Forces, Naval Centre, Hårsfjärden, Sweden.
2001 (English)In: Safety Science, ISSN 0925-7535, E-ISSN 1879-1042, Vol. 39, no 1-2, 51-60 p.Article in journal (Refereed) Published
Abstract [en]

The performance of a command post staff has a decisive effect on the outcome of a rescue operation when it comes to co-ordination and management of various rescue forces. Monitoring and documentation of the internal work and communication processes that take place in a command team can increase the ability to investigate and understand cause–effect relationships between incoming field reports, operational procedures, decisions, commands and the rescue response in the field. To this end we present a method and a software tool that enable an observer to monitor and record communication events in a command post staff. The method extends link analysis by introducing time stamping and classification of events. Thus, extended link analysis enables both cumulative measures and detailed temporal analysis of staff communication. The software tool supports configuration, monitoring, time stamping and classification of communication events. It can export data in standard formats for statistical analysis and visualisation.

Place, publisher, year, edition, pages
2001. Vol. 39, no 1-2, 51-60 p.
Keyword [en]
Command post analysis, Command post communication, Extended link analysis (ELA), MIND, Link Analyzer
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-15617DOI: 10.1016/S0925-7535(01)00025-XOAI: oai:DiVA.org:liu-15617DiVA: diva2:126770
Available from: 2008-11-21 Created: 2008-11-21 Last updated: 2017-12-14
In thesis
1. Using Observers for Model Based Data Collection in Distributed Tactical Operations
Open this publication in new window or tab >>Using Observers for Model Based Data Collection in Distributed Tactical Operations
2008 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Modern information technology increases the use of computers in training systems as well as in command-and-control systems in military services and public-safety organizations. This computerization combined with new threats present a challenging complexity. Situational awareness in evolving distributed operations and follow-up in training systems depends on humans in the field reporting observations of events. The use of this observer-reported information can be largely improved by implementation of models supporting both reporting and computer representation of objects and phenomena in operations.

This thesis characterises and describes observer model-based data collection in distributed tactical operations, where multiple, dispersed units work to achieve common goals. Reconstruction and exploration of multimedia representations of operations is becoming an established means for supporting taskforce training. We explore how modelling of operational processes and entities can support observer data collection and increase information content in mission histories. We use realistic exercises for testing developed models, methods and tools for observer data collection and transfer results to live operations.

The main contribution of this thesis is the systematic description of the model-based approach to using observers for data collection. Methodological aspects in using humans to collect data to be used in information systems, and also modelling aspects for phenomena occurring in emergency response and communication areas contribute to the body of research. We describe a general methodology for using human observers to collect adequate data for use in information systems. In addition, we describe methods and tools to collect data on the chain of medical attendance in emergency response exercises, and on command-and-control processes in several domains.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2008. 75 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1386
Keyword
Observers, model-based data collection, distributed tactical operations, taskforce training, communication analysis, reconstruction & exploration, extended link analysis, timed checkpoints, network based observer tool
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-15620 (URN)LiU-Tek-Lic-2008:44 (Local ID)978-91-7393-751-1 (ISBN)LiU-Tek-Lic-2008:44 (Archive number)LiU-Tek-Lic-2008:44 (OAI)
Presentation
2008-12-18, Alan Turing, hus E, Campus Valla, Linköpings universitet, Linköping, 13:15 (Swedish)
Opponent
Supervisors
Available from: 2008-11-21 Created: 2008-11-21 Last updated: 2009-05-15Bibliographically approved

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