Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/116319
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dc.contributor.authorWelsh, M.en
dc.contributor.authorBegg, S.en
dc.date.issued2018en
dc.identifier.citationEuro Journal on Decision Processes, 2018; 6(1-2):171-212en
dc.identifier.issn2193-9438en
dc.identifier.issn2193-9446en
dc.identifier.urihttp://hdl.handle.net/2440/116319-
dc.description.abstractBiases like overconfidence and anchoring affect values elicited from people in predictable ways – due to people’s inherent cognitive processes. The More-Or-Less Elicitation (MOLE) process takes insights from how biases affect people’s decisions to design an elicitation process to mitigate or eliminate bias. MOLE relies on four, key insights: 1) uncertainty regarding the location of estimates means people can be unwilling to exclude values they would not specifically include; 2) repeated estimates can be averaged to produce a better, final estimate; 3) people are better at relative than absolute judgements; and, 4) consideration of multiple values prevents anchoring on a particular number. MOLE achieves these by having people repeatedly choose between options presented to them by the computerised tool rather than making estimates directly, and constructing a range logically consistent with (i.e., not ruled out by) the person’s choices in the background. Herein, MOLE is compared, across four experiments, with eight elicitation processes – all requiring direct estimation of values – and is shown to greatly reduce overconfidence in estimated ranges and to generate best guesses that are more accurate than directly estimated equivalents. This is demonstrated across three domains – in perceptual and epistemic uncertainty and in a forecasting task.en
dc.description.statementofresponsibilityMatthew B. Welsh, Steve H. Beggen
dc.language.isoenen
dc.publisherSpringeren
dc.rights© Springer-Verlag GmbH Germany, part of Springer Nature and EURO - The Association of European Operational Research Societies 2018en
dc.subjectBias; elicitation; forecasting; overconfidence; range estimation; anchoringen
dc.titleMore-or-less elicitation (MOLE): reducing bias in range estimation and forecastingen
dc.typeJournal articleen
dc.identifier.rmid0030086689en
dc.identifier.doi10.1007/s40070-018-0084-5en
dc.relation.granthttp://purl.org/au-research/grants/arc/LP160101460en
dc.identifier.pubid419188-
pubs.library.collectionAustralian School of Petroleum publicationsen
pubs.library.teamDS06en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidWelsh, M. [0000-0002-3605-716X]en
dc.identifier.orcidBegg, S. [0000-0003-3329-9064]en
Appears in Collections:Australian School of Petroleum publications

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