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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 />

The SNA is used to analyse <strong>the</strong> relationships between <strong>the</strong> agents involved in <strong>the</strong> scenario<br />

under analysis. Using <strong>the</strong> scenario transcript, <strong>the</strong> analyst should firstly construct an agent<br />

association matrix, which presents <strong>the</strong> links between <strong>the</strong> agents and also <strong>the</strong> frequency <strong>of</strong><br />

communications between <strong>the</strong> agents. An example association matrix is presented in Table<br />

6. From <strong>the</strong> association matrix, a social network diagram is constructed and agent<br />

centrality, sociometric status, and network density are calculated. It is recommended that<br />

<strong>the</strong> Agna SNA s<strong>of</strong>tware package is used for <strong>the</strong> SNA phase <strong>of</strong> <strong>the</strong> EAST methodology.<br />

Step 11: Construct operation sequence diagram<br />

The OSD represents <strong>the</strong> activity observed during <strong>the</strong> scenario under analysis. The analyst<br />

should construct <strong>the</strong> OSD using <strong>the</strong> scenario transcript and <strong>the</strong> associated HTA as inputs.<br />

Once <strong>the</strong> initial OSD is completed, <strong>the</strong> analyst should <strong>the</strong>n add <strong>the</strong> results <strong>of</strong> <strong>the</strong> CDA to<br />

each teamwork task step.<br />

Step 12: Construct Propositional networks<br />

The final step <strong>of</strong> <strong>the</strong> EAST analysis involves constructing propositional networks for<br />

each scenario phase identified during <strong>the</strong> CDM interviews. In order to construct <strong>the</strong><br />

propositional networks for each phase, a basic contents analysis should be conducted<br />

using <strong>the</strong> associated CDM outputs. Knowledge objects are defined as knowledge,<br />

information, artefacts and actions. Each knowledge object should have a corresponding<br />

node in <strong>the</strong> propositional network. Next, <strong>the</strong> links between <strong>the</strong> nodes should be specified.<br />

To do this, <strong>the</strong> analyst should specify any links between <strong>the</strong> knowledge objects within <strong>the</strong><br />

propositional networks, using <strong>the</strong> following links taxonomy;<br />

Example<br />

• Has<br />

• Is<br />

• Causes<br />

• Knows<br />

• Requires<br />

• Prevents<br />

The following example is taken from an analysis <strong>of</strong> a switching scenario drawn from <strong>the</strong><br />

civil energy distribution domain (Salmon et al 2004b). The scenario took place at Barking<br />

275Kv, 132Kv and 33Kv substations and <strong>the</strong> National Grid Transco (NGT) Network<br />

Operations Centre (NOC) in Warwick. The scenario under analysis involved <strong>the</strong><br />

switching out <strong>of</strong> three circuits (SGT5 and SGT1A and 1B) at Barking 275Kv, 132Kv and<br />

33Kv Substations. Circuit SGT5 was being switched out for <strong>the</strong> installation <strong>of</strong> a new<br />

transformer for <strong>the</strong> nearby channel tunnel rail link and SGT1A and 1B were being<br />

switched out for substation maintenance. The observation focussed upon four main<br />

8

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