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A Review of the Event Analysis of Systemic Teamwork Methodology

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HFIDTC/WP1.1.3/10<br />

Version 2/ 31 October 2005<br />

Table 13 – Phase 4: Report back to NOC<br />

Goal Specification<br />

Cue identification<br />

Expectancy<br />

Conceptual Model<br />

Uncertainty<br />

Information<br />

Situation Awareness<br />

Situation<br />

Assessment<br />

Options<br />

Stress<br />

Choice<br />

Analogy<br />

Inform NOC <strong>of</strong> isolation status.<br />

Switching telephone.<br />

NOC operator answers.<br />

NOC accepts.<br />

Manner in which circuit is now isolated.<br />

Form <strong>of</strong> procedures.<br />

No – possibly fur<strong>the</strong>r instructions, possibly mismatches local situation<br />

and remote displays in NOC.<br />

Switching log.<br />

Verbal information from NOC.<br />

Switching log.<br />

Yes – all information used.<br />

No (raise or add on fur<strong>the</strong>r requests etc. to <strong>the</strong> same call)<br />

No<br />

Yes – highly proceduralised<br />

Yes – frequently performed activity<br />

From <strong>the</strong> CDM outputs, propositional networks were constructed for each incident phase.<br />

The propositional networks are presented in Figure 3-5 to Figure 3-9. Propositional<br />

networks consist <strong>of</strong> a set <strong>of</strong> nodes that represent sources <strong>of</strong> information, agents, and<br />

objects etc. that are linked through specific causal paths. From this network, it is possible<br />

to identify required information and possible options relevant to this incident. The<br />

concept behind using a propositional network in this manner is that it represents <strong>the</strong><br />

‘ideal’ collection <strong>of</strong> knowledge for <strong>the</strong> scenario. As <strong>the</strong> incident unfolds, so participants<br />

will have access to more <strong>of</strong> this knowledge (ei<strong>the</strong>r through communication with o<strong>the</strong>r<br />

agents or through recognising changes in <strong>the</strong> incident status). Consequently, within this<br />

propositional network, Situation Awareness can be represented as <strong>the</strong> change in<br />

weighting <strong>of</strong> links. Propositional networks were developed for <strong>the</strong> overall scenario and<br />

also <strong>the</strong> incident phases identified during <strong>the</strong> CDM analysis. The propositional networks<br />

indicate which <strong>of</strong> <strong>the</strong> knowledge objects are active (i.e. agents are using <strong>the</strong>m) during<br />

each incident phase. The light blue nodes in <strong>the</strong> propositional networks represent<br />

unactivated knowledge objects (i.e. knowledge is available but is not required nor is it<br />

being used). The red nodes represent active (or currently being used) knowledge objects.<br />

19

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