Rehearsing for a Major Accident in a Metro Control Centre: A Naturalistic Analysis of Situation Awareness

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    Introduction: Drawing on Peircean philosophy, this paper argues that shared situation awareness and decision making can be viewed as a process consisting of ‘semiosis’ or ‘perception-action cycles’: action is derived from perception of a ‘sign’ while each course of action implies meaningful basis for further action. Method: We analysed observation data of an accident rehearsal in a metro traffic control centre. The method includes interpretation of how courses of action are linked to each other and to situation awareness; it provides an overall description of how situation awareness is constructed in activity. Results and discussion: The process of creating situation awareness was heavily mediated; several individuals were needed for conveying knowledge from the scene of accident to the emergency response. The overall interaction pattern is explainable with the division of tasks in the control centre. The results point to practical ideas on how to streamline the flow of communication.
    Original languageEnglish
    Title of host publicationProceedings of the 11th International Conference on Naturalistic Decision Making (NDM 2013), Marseille, France, 21-24 May 2013
    EditorsH. Chaudet, L. Pellegrin, N. Bonnardel
    Place of PublicationParis, France
    Number of pages8
    Publication statusPublished - 2013
    MoE publication typeA4 Article in a conference publication
    EventInternational Conference on Naturalistic Decision Making 2013 - Marseille, France
    Duration: 22 May 201324 May 2013

    Conference

    ConferenceInternational Conference on Naturalistic Decision Making 2013
    Abbreviated titleNDM 2013
    CountryFrance
    CityMarseille
    Period22/05/1324/05/13

    Keywords

    • Situation awareness
    • transportation
    • accident management
    • metro traffic control
    • interaction analysis

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