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Distributed situational awareness in an airborne warning and control aircraft: application of a novel ergonomics methodology

Distributed situational awareness in an airborne warning and control aircraft: application of a novel ergonomics methodology
Distributed situational awareness in an airborne warning and control aircraft: application of a novel ergonomics methodology
This paper applies a distributed theory of situation awareness based upon the analysis of interactions between agents (both human and non-human) in an Airborne Warning and Control System (Boeing E3D Sentry).
The basic tenet of this approach is that agents within a system each hold their own component(s) of situation awareness, which may be very different from, but compatible with, other agent’s view of the situation.
However, it is argued that it is not always necessary to have complete sharing of this awareness, as different system agents have different purposes. Situation awareness is regarded as a dynamic and collaborative process that binds agents together on tasks on a moment-by-moment basis.
Situation awareness is conceptualised as residing at a system, not an individual level. Data were collected from crew-members in theE3D during a series of simulated air battles. These data pertained to task structure, communications between the crew and the collection and analysis of crew actions at critical decision points.
All phases of operations were considered. From these data propositional networks were developed in which key knowledge objects were identified. Analysis of these networks clearly shows how the location and nature of distributed situation awareness changes across agents with regard to the phase of operation/air battle
agents, systems, theory, command and control, SA, teams
1435-5558
221-229
Stewart, Rebecca
200730cc-7f3c-4cf0-a342-b91603153190
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Harris, Don
4840ad19-c4c3-4e06-9846-589b330a3668
Baber, Chris
f1a837ac-3e9c-4e55-8eb9-8d393f07c964
Salmon, Paul
5398e747-09a5-47c2-9982-2906880c64c6
Mock, Mel
d048b5a1-c31d-4989-9e3e-cf2b9f0bc1e3
Tatlock, Kerry
d080a898-7e5a-4c51-b9ca-a3c0a0839a52
Wells, Linda
9f3aab0a-f247-4982-bafb-7f4ad92fbecf
Kay, Alison
ea08da81-a6f9-4efa-9bb6-f3e50c8c48c6
Stewart, Rebecca
200730cc-7f3c-4cf0-a342-b91603153190
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Harris, Don
4840ad19-c4c3-4e06-9846-589b330a3668
Baber, Chris
f1a837ac-3e9c-4e55-8eb9-8d393f07c964
Salmon, Paul
5398e747-09a5-47c2-9982-2906880c64c6
Mock, Mel
d048b5a1-c31d-4989-9e3e-cf2b9f0bc1e3
Tatlock, Kerry
d080a898-7e5a-4c51-b9ca-a3c0a0839a52
Wells, Linda
9f3aab0a-f247-4982-bafb-7f4ad92fbecf
Kay, Alison
ea08da81-a6f9-4efa-9bb6-f3e50c8c48c6

Stewart, Rebecca, Stanton, Neville A., Harris, Don, Baber, Chris, Salmon, Paul, Mock, Mel, Tatlock, Kerry, Wells, Linda and Kay, Alison (2008) Distributed situational awareness in an airborne warning and control aircraft: application of a novel ergonomics methodology. Cognition, Work and Technology, 10 (3), 221-229. (doi:10.1007/s10111-007-0094-8).

Record type: Article

Abstract

This paper applies a distributed theory of situation awareness based upon the analysis of interactions between agents (both human and non-human) in an Airborne Warning and Control System (Boeing E3D Sentry).
The basic tenet of this approach is that agents within a system each hold their own component(s) of situation awareness, which may be very different from, but compatible with, other agent’s view of the situation.
However, it is argued that it is not always necessary to have complete sharing of this awareness, as different system agents have different purposes. Situation awareness is regarded as a dynamic and collaborative process that binds agents together on tasks on a moment-by-moment basis.
Situation awareness is conceptualised as residing at a system, not an individual level. Data were collected from crew-members in theE3D during a series of simulated air battles. These data pertained to task structure, communications between the crew and the collection and analysis of crew actions at critical decision points.
All phases of operations were considered. From these data propositional networks were developed in which key knowledge objects were identified. Analysis of these networks clearly shows how the location and nature of distributed situation awareness changes across agents with regard to the phase of operation/air battle

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More information

Published date: July 2008
Keywords: agents, systems, theory, command and control, SA, teams

Identifiers

Local EPrints ID: 76191
URI: http://eprints.soton.ac.uk/id/eprint/76191
ISSN: 1435-5558
PURE UUID: 07385010-9911-4bc4-9510-da5834860ab9
ORCID for Neville A. Stanton: ORCID iD orcid.org/0000-0002-8562-3279

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Date deposited: 12 Mar 2010
Last modified: 14 Mar 2024 02:54

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Contributors

Author: Rebecca Stewart
Author: Don Harris
Author: Chris Baber
Author: Paul Salmon
Author: Mel Mock
Author: Kerry Tatlock
Author: Linda Wells
Author: Alison Kay

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