3 research outputs found

    The role of expertise in dynamic risk assessment: A reflection of the problem-solving strategies used by experienced fireground commanders

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    Although the concept of dynamic risk assessment has in recent times become more topical in the training manuals of most high risk domains, only a few empirical studies have reported how experts actually carry out this crucial task. The knowledge gap between research and practice in this area therefore calls for more empirical investigation within the naturalistic environment. In this paper, we present and discuss the problem solving strategies employed by sixteen experienced operational firefighters using a qualitative knowledge elicitation tool — the critical decision method. Findings revealed that dynamic risk assessment is not merely a process of weighing the risks of a proposed course of action against its benefits, but rather an experiential and pattern recognition process. The paper concludes by discussing the implications of designing training curriculum for the less experienced officers using the elicited expert knowledge

    Information processing and intuitive decision-making on the fireground: towards a model of expert intuition

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    In addition to other cognitive tasks that need attending to, experienced fireground commanders are also faced with a crucial task of identifying various environmental and informational cues that could affect their performance on the fireground. Although these cues play a crucial role in activating the pattern recognition or intuitive decision-making process, the major challenge remains that they usually emerge from multiple sources, thereby increasing the cognitive load in working memory. Previous studies have shown that attending to multiple informational sources has serious implications for intuitive decision-making as it then becomes more difficult to select the most relevant cues amidst the rapidly evolving conditions. In order to determine how firefighters cope with this difficult task of processing information from multiple sources, 16 experienced fireground commanders were interviewed using a semi-structured critical decision method protocol. Following the insights derived from the knowledge elicitation process, this paper presents and describes an expert intuition model, which we termed the information filtering and intuitive decision-making model. The model attempts to conceptualize how experienced firefighters scan through multiple information sources from which they are then able to select the most relevant cues that eventually aid the development of workable action plans
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