A conceptual model for risk-based situation awareness

Naderpour, M; Lu, J; Kerre, E

A conceptual model for risk-based situation awareness

Naderpour, M

Lu, J

Kerre, E

Permalink

Publication Type:: Conference Proceeding
Citation:: Advances in Intelligent and Soft Computing, 2011, 122 pp. 297 - 306
Issue Date:: 2011-12-01

Closed Access

	Filename	Description	Size
	2011004576OK.pdf		351.2 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Naderpour, M https://orcid.org/0000-0002-3549-3875	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Kerre, E	en_US
dc.date.issued	2011-12-01	en_US
dc.identifier.citation	Advances in Intelligent and Soft Computing, 2011, 122 pp. 297 - 306	en_US
dc.identifier.isbn	9783642256639	en_US
dc.identifier.issn	1867-5662	en_US
dc.identifier.uri	http://hdl.handle.net/10453/19194
dc.description.abstract	Situation Awareness is the perception of the elements in the environment within a volume of time and space, the comprehension of their meaning and the projection of their status in the near future. It is a crucial factor in decision-making in a dynamic environment particularly with certain degrees of risk, called risk-based situation awareness. In this paper we first explore the most popular models in situation awareness, data fusion and risk assessment. We show how they complement each other in developing a conceptual model for risk-based situation awareness. We will also demonstrate how this model can be used to support decision-making in a dynamic environment. © 2011 Springer-Verlag Berlin Heidelberg.	en_US
dc.relation.ispartof	Advances in Intelligent and Soft Computing	en_US
dc.relation.isbasedon	10.1007/978-3-642-25664-6_35	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A conceptual model for risk-based situation awareness	en_US
dc.type	Conference Proceeding
utslib.citation.volume	122	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Shanghai, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	122	en_US

Abstract:

Situation Awareness is the perception of the elements in the environment within a volume of time and space, the comprehension of their meaning and the projection of their status in the near future. It is a crucial factor in decision-making in a dynamic environment particularly with certain degrees of risk, called risk-based situation awareness. In this paper we first explore the most popular models in situation awareness, data fusion and risk assessment. We show how they complement each other in developing a conceptual model for risk-based situation awareness. We will also demonstrate how this model can be used to support decision-making in a dynamic environment. © 2011 Springer-Verlag Berlin Heidelberg.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/19194