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Functional modeling of agile command and control
Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory. Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, Human-Centered systems.
Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory. Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, Human-Centered systems. Cognitive Science Masters Programme, LiU.ORCID iD: 0000-0001-5943-0679
Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory. Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, Human-Centered systems.
2009 (English)In: 14th International Command and Control Research and Technology Symposium (ICCRTS), Washington, DC, USA: DOD CCRP , 2009Conference paper, Published paper (Refereed)
Abstract [en]

A critical element to successful command and control (C2) is developing and updating an accurate and lucid model of the interdependencies between functional units, e.g., multiple platoons of artillery and tanks. Two of the challenges to this understanding are (1) the adoption of a detailed description of interdependency and the associated understanding of interdependent functions (Brehmer, 2007) and (2) the application of that description to both own and opponent forces’ opportunities and vulnerabilities to provide for agility (Alberts, 2007). This paper documents a straightforward approach to modeling functional interdependency that addresses these challenges. The Functional Resonance Analysis Method (FRAM; Hollnagel, 2004) is shown to describe the C2 functions of the DOODA loop (Brehmer, 2007) and the tactical and operational functions of military activity. FRAM models are applied to own and opponent forces in a computer-based dynamic war-game (DKE) to reveal and characterize both agile and unsuccessful C2 practice.

Place, publisher, year, edition, pages
Washington, DC, USA: DOD CCRP , 2009.
National Category
Other Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-17588OAI: oai:DiVA.org:liu-17588DiVA: diva2:210683
Conference
14th International Command and Control Research and Technology Symposium, Washington D.C,USA June 15-17, 2009
Available from: 2009-04-03 Created: 2009-04-03 Last updated: 2016-11-28Bibliographically approved
In thesis
1. Functional Modeling of Constraint Management in Aviation Safety and Command and Control
Open this publication in new window or tab >>Functional Modeling of Constraint Management in Aviation Safety and Command and Control
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis has shown that the concept of constraint management is instrumental in understanding the domains of command and control and aviation safety. Particularly, functional modeling as a means to address constraint management provides a basis for analyzing the performance of socio-technical systems. In addition to the theoretical underpinnings, six studies are presented.

          First, a functional analysis of an exercise conducted by a team of electricity network emergency managers is used to show that a team function taxonomy can be used to analyze the mapping between team tasks and information and communication technology to assess training needs for performance improvement. Second, an analysis of a fire-fighting emergency management simulation is used to show that functional modeling and visualization of constraints can describe behavior vis-à-vis constraints and inform decision support design. Third, analysis of a simulated adversarial command and control task reveals that functional modeling may be used to describe and facilitate constraint management (constraining the adversary and avoiding being constrained by the adversary).

          Studies four and five address the domain of civil aviation safety. The analysis of functional resonance is applied to an incident in study four and an accident in study five, based on investigation reports. These studies extend the functional resonance analysis method and accident model. The sixth study documents the utility of this functional modeling approach for risk assessment by evaluating proposed automation for air traffic control, based on observations, interviews, and experimental data.

          In sum, this thesis adds conceptual tools and modeling methods to the cognitive systems engineering discipline that can be used to tackle problems of training environment design, decision support, incident and accident analysis, and risk assessment.

Place, publisher, year, edition, pages
Linköping: Linköpings universitet, 2009. 134 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1249
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-17639 (URN)978-91-7393-659-0 (ISBN)
Public defence
2009-04-30, Key 1, hus Key, campus Valla, Linköpings universitet, Linköping, 09:15 (English)
Opponent
Supervisors
Available from: 2009-04-06 Created: 2009-04-06 Last updated: 2015-06-04Bibliographically approved

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Woltjer, RogierPrytz, ErikSmith, Kip

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