The Situation Awareness Weighted Network (SAWN) model and method: Theory and application

Alexander Kalloniatis; Irena Ali; Timothy Neville; Phuong La; Iain Macleod; Mathew Zuparic; Elizabeth Kohn

doi:10.1016/j.apergo.2017.02.002

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The Situation Awareness Weighted Network (SAWN) model and method: Theory and application

Journal article

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The Situation Awareness Weighted Network (SAWN) model and method: Theory and application

Alexander Kalloniatis, Irena Ali, Timothy Neville, Phuong La, Iain Macleod, Mathew Zuparic and Elizabeth Kohn

Applied Ergonomics, Vol.61, pp.178-196

2017

DOI: https://doi.org/10.1016/j.apergo.2017.02.002

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Abstract

situation awareness

empirical model

case studies

network analysis

We introduce a novel model and associated data collection method to examine how a distributed organisation of military staff who feed a Common Operating Picture (COP) generates Situation Awareness (SA), a critical component in organisational performance. The proposed empirically derived Situation Awareness Weighted Network (SAWN) model draws on two scientific models of SA, by Endsley involving perception, comprehension and projection, and by Stanton et al. positing that SA exists across a social and semantic network of people and information objects in activities connected across a set of tasks. The output of SAWN is a representation as a weighted semi-bipartite network of the interaction between people ('human nodes') and information artefacts such as documents and system displays ('product nodes'); link weights represent the Endsley levels of SA that individuals acquire from or provide to information objects and other individuals. The SAWN method is illustrated with aggregated empirical data from a case study of Australian military staff undertaking their work during two very different scenarios, during steady-state operations and in a crisis threat context. A key outcome of analysis of the weighted networks is that we are able to quantify flow of SA through an organisation as staff seek to "value-add" in the conduct of their work.

Details

Title: The Situation Awareness Weighted Network (SAWN) model and method: Theory and application
Authors: Alexander Kalloniatis (Author) - Defence Science and Technology Group
Irena Ali (Author) - Defence Science and Technology Group
Timothy Neville (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
Phuong La (Author) - Defence Science and Technology Group
Iain Macleod (Author) - Defence Science and Technology Group
Mathew Zuparic (Author) - Defence Science and Technology Group
Elizabeth Kohn (Author) - Defence Science and Technology Group
Publication details: Applied Ergonomics, Vol.61, pp.178-196
Publisher: Pergamon
Date published: 2017
DOI: 10.1016/j.apergo.2017.02.002
ISSN: 0003-6870
Organisation Unit: Centre for Human Factors and Systems Science; School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99450353602621
Output Type: Journal article

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Collaboration types: Domestic collaboration
Web Of Science research areas: Engineering, Industrial; Ergonomics; Psychology, Applied