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dc.contributor.authorCheong, L
dc.contributor.authorBleisch, S
dc.contributor.authorKealy, A
dc.contributor.authorTolhurst, K
dc.contributor.authorWilkening, T
dc.contributor.authorDuckham, M
dc.date.available2016-10-05T22:28:59Z
dc.date.issued2016
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000374902800006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c
dc.identifier.citationCheong, L., Bleisch, S., Kealy, A., Tolhurst, K., Wilkening, T. & Duckham, M. (2016). Evaluating the impact of visualization of wildfire hazard upon decision-making under uncertainty. International Journal of Geographical Information Science, 30 (7), pp.1377-1404. https://doi.org/10.1080/13658816.2015.1131829.
dc.identifier.issn1365-8816
dc.identifier.urihttp://hdl.handle.net/11343/118199
dc.description.abstractThe paper investigates whether the methods chosen for representing uncertain geographic information aid or impair decision-making in the context of wildfire hazard. Through a series of three human subject experiments, utilizing 180 subjects and employing increasingly difficult tasks, this research evaluates the effect of five different visualizations and a text-based representation on decision-making under uncertainty. Our quantitative experiments focus specifically on the task of decision-making under uncertainty, rather than the task of reading levels of uncertainty from the map. To guard against the potential for generosity and risk seeking in decision-making under uncertainty, the experimental design uses performance-based incentives. The experiments showed that the choice of representation makes little difference to performance in cases where subjects are allowed the time and focus to consider their decisions. However, with the increasing difficulty of time pressure, subjects performed best using a spectral color hue-based representation, rather than more carefully designed cartographic representations. Text-based and simplified boundary encodings were among the worst performers. The results have implications for the performance of decision-making under uncertainty using static maps, especially in the stressful environments surrounding an emergency.
dc.languageEnglish
dc.publisherTaylor & Francis
dc.titleEvaluating the impact of visualization of wildfire hazard upon decision-making under uncertainty
dc.typeJournal Article
dc.identifier.doi10.1080/13658816.2015.1131829
melbourne.affiliation.departmentInfrastructure Engineering
melbourne.affiliation.departmentForest and Ecosystem Science
melbourne.source.titleInternational Journal of Geographical Information Science
melbourne.source.volume30
melbourne.source.issue7
melbourne.source.pages1377-1404
melbourne.identifier.arcDP120100072
melbourne.identifier.arcDE140101014
melbourne.elementsid1029044
melbourne.contributor.authorWilkening, Tom
melbourne.contributor.authorKealy, Allison
melbourne.contributor.authorTolhurst, Kevin
melbourne.internal.ingestnoteAbstract bulk upload (2017-07-26)
dc.identifier.eissn1362-3087
melbourne.identifier.fundernameidAUST RESEARCH COUNCIL, DP120100072
melbourne.identifier.fundernameidAUST RESEARCH COUNCIL, DE140101014
melbourne.accessrightsOpen Access


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