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Pre-defined Emergencies on Demand: Simulation-Based Analysis of Information Processing in Emergency Dispatching

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Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (HCII 2023)

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Abstract

Lacking situation awareness is one of the main issues in emergency dispatching that can lead to high uncertainty in decision-making. Automated systems can and will support dispatchers in this process in the future. Yet, the introduction of such systems can place additional cognitive demands on dispatchers and should therefore be tailored to their working routines at an early stage. This is especially true when systems execute tasks that cannot be performed by humans in this form, and thus provide new sources of information. To figure out how to design the integration of new information, it is essential to understand the existing information flow of dispatchers to assess how information processing might change. For this purpose, we propose the combination of simulations and the Critical Decision Method (CDM) with the amplification by psychological experimental design methods as an approach to uncover cognitive processes in decision-making. In a literature review, we identified 10 relevant empirical research papers in which this combination had already been applied in studies. The reviewed papers were analyzed in terms of methodological aspects and takeaways regarding the application of simulations and the CDM. The results show that both the simulation environment and scenarios, as well as the selection of CDM probes, require careful consideration and accurate alignment with the research objectives. In conclusion, we provide and discuss the methodological design, an experimental setup, and an example scenario focused on the emergency dispatching process.

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Acknowledgment

This work was motivated by scenarios investigated as part of the 5G-TELK-NF project funded by the German Federal Ministry for Digital and Transport (Grant number: 165GU135M). For their support, we would like to thank the team at the Emergency Control Center (Leitstelle Nord) in Harrislee, Germany.

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  1. University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany

    Marthe Gruner, Tim Schrills & Thomas Franke

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  1. Marthe Gruner
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Correspondence to Marthe Gruner .

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  1. Purdue University, West Lafayette, IN, USA

    Vincent G. Duffy

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Gruner, M., Schrills, T., Franke, T. (2023). Pre-defined Emergencies on Demand: Simulation-Based Analysis of Information Processing in Emergency Dispatching. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. HCII 2023. Lecture Notes in Computer Science, vol 14028. Springer, Cham. https://doi.org/10.1007/978-3-031-35741-1_28

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  • DOI: https://doi.org/10.1007/978-3-031-35741-1_28

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