Team situation awareness measurement using group aggregation and implication operators

Ma, J; Zhang, G

Team situation awareness measurement using group aggregation and implication operators

Ma, J Zhang, G

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Publication Type:: Conference Proceeding
Citation:: Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008, 2008, pp. 625 - 630
Issue Date:: 2008-12-01

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Field	Value	Language
dc.contributor.author	Ma, J	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.date.issued	2008-12-01	en_US
dc.identifier.citation	Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008, 2008, pp. 625 - 630	en_US
dc.identifier.isbn	9781424421978	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10841
dc.description.abstract	Situation Awareness (SA) has been received much attention from human factors and ergonomics community during the past two decades. Team working plays a vital role in complex dynamic situations, increasing requirements for sharing perceptions and comprehension of a situation among team members and improving team situation awareness have been merged. This paper presents a team SA measurement (TSAM) method taking both qualitative and quantitative information into consideration. The TSAM method uses a hierarchy to depict team's shared mental model, applies linguistic terms to represent individual SA and adopts a group aggregation strategy to integrate individual SA through indicator-specified implication operators. Example has shown its effective. © 2008 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0880739
dc.relation	http://purl.org/au-research/grants/arc/DP0559213
dc.relation.ispartof	Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008	en_US
dc.relation.isbasedon	10.1109/ISKE.2008.4731006	en_US
dc.title	Team situation awareness measurement using group aggregation and implication operators	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Xianeb	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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Situation Awareness (SA) has been received much attention from human factors and ergonomics community during the past two decades. Team working plays a vital role in complex dynamic situations, increasing requirements for sharing perceptions and comprehension of a situation among team members and improving team situation awareness have been merged. This paper presents a team SA measurement (TSAM) method taking both qualitative and quantitative information into consideration. The TSAM method uses a hierarchy to depict team's shared mental model, applies linguistic terms to represent individual SA and adopts a group aggregation strategy to integrate individual SA through indicator-specified implication operators. Example has shown its effective. © 2008 IEEE.

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http://hdl.handle.net/10453/10841