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Exploring prehospital C2-work during a mass gathering event
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5943-0679
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
Institute of Health and Care Sciences, University of Gothenburg, Gothenburg, Sweden.
Prehospital and Disaster Medicine Centre, Sahlgrenska Academy, Gothenburg, Sweden.
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2015 (English)In: International Journal of Emergency Services, ISSN 2047-0894, E-ISSN 2047-0908, Vol. 4, no 2, p. 227-241Article in journal (Refereed) Published
Resource type
Text
Abstract [en]

Purpose– The purpose of this paper is to explore the workload and shared workload awareness in a staff performing command and control (C2) work during a planned major incident (MI) empirical case in Sweden. Design/methodology/approach– Data on workload and shared awareness were collected during live C2-work using qualitative observations and in-situ interviews mixed with quantitative questionnaires. Findings– A content analysis of the qualitative data revealed categories of workload sources. Quantified workload estimates showed changes in workload levels over time and staff roles, which were also contextualized using the results of the qualitative data. Data on shared awareness indicated that team workload awareness shifted over time according to common patterns. This study demonstrates a promising methodology to study C2-related factors during live EMS work. Research limitations/implications– The observed variations in workload imply that research that relies only on post-task measurements of workload may be inaccurate. Future research could use this method to investigate the connection between workload and performance during different types of MIs. Originality/value– The results can be used to inform future Göteborgsvarvet C2-teams in terms of when, why, and for whom task load changes, which would support predictive allocation of resources.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2015. Vol. 4, no 2, p. 227-241
Keyword [en]
Emergency response, Mixed methods, Command and control, Mass gathering, Mental workload, Shared awareness
National Category
Pedagogical Work
Identifiers
URN: urn:nbn:se:liu:diva-126628DOI: 10.1108/IJES-04-2015-0016OAI: oai:DiVA.org:liu-126628DiVA, id: diva2:915952
Available from: 2016-03-31 Created: 2016-03-31 Last updated: 2018-03-20Bibliographically approved
In thesis
1. Studying Simulations with Distributed Cognition
Open this publication in new window or tab >>Studying Simulations with Distributed Cognition
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Simulations are frequently used techniques for training, performance assessment, and prediction of future outcomes. In this thesis, the term “human-centered simulation” is used to refer to any simulation in which humans and human cognition are integral to the simulation’s function and purpose (e.g., simulation-based training). A general problem for human-centered simulations is to capture the cognitive processes and activities of the target situation (i.e., the real world task) and recreate them accurately in the simulation. The prevalent view within the simulation research community is that cognition is internal, decontextualized computational processes of individuals. However, contemporary theories of cognition emphasize the importance of the external environment, use of tools, as well as social and cultural factors in cognitive practice. Consequently, there is a need for research on how such contemporary perspectives can be used to describe human-centered simulations, re-interpret theoretical constructs of such simulations, and direct how simulations should be modeled, designed, and evaluated.

This thesis adopts distributed cognition as a framework for studying human-centered simulations. Training and assessment of emergency medical management in a Swedish context using the Emergo Train System (ETS) simulator was adopted as a case study. ETS simulations were studied and analyzed using the distributed cognition for teamwork (DiCoT) methodology with the goal of understanding, evaluating, and testing the validity of the ETS simulator. Moreover, to explore distributed cognition as a basis for simulator design, a digital re-design of ETS (DIGEMERGO) was developed based on the DiCoT analysis. The aim of the DIGEMERGO system was to retain core distributed cognitive features of ETS, to increase validity, outcome reliability, and to provide a digital platform for emergency medical studies. DIGEMERGO was evaluated in three separate studies; first, a usefulness, usability, and facevalidation study that involved subject-matter-experts; second, a comparative validation study using an expert-novice group comparison; and finally, a transfer of training study based on self-efficacy and management performance. Overall, the results showed that DIGEMERGO was perceived as a useful, immersive, and promising simulator – with mixed evidence for validity – that demonstrated increased general self-efficacy and management performance following simulation exercises.

This thesis demonstrates that distributed cognition, using DiCoT, is a useful framework for understanding, designing and evaluating simulated environments. In addition, the thesis conceptualizes and re-interprets central constructs of human-centered simulation in terms of distributed cognition. In doing so, the thesis shows how distributed cognitive processes relate to validity, fidelity, functionality, and usefulness of human-centered simulations. This thesis thus provides a new understanding of human-centered simulations that is grounded in distributed cognition theory.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2018. p. 94
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1913
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:liu:diva-145307 (URN)10.3384/diss.diva-145307 (DOI)9789176853481 (ISBN)
Public defence
2018-04-19, Ada Lovelace, B-huset, Campus Valla, Linköping, 13:15 (English)
Opponent
Supervisors
Available from: 2018-03-20 Created: 2018-03-20 Last updated: 2018-03-21Bibliographically approved

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Prytz, Erik G.Rybing, JonasJonson, Carl-Oscar
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Human-Centered systemsFaculty of Science & EngineeringDivision of Clinical SciencesFaculty of Medicine and Health SciencesCentre for Teaching and Research in Disaster Medicine and Traumatology
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