User Settings of Cue Thresholds for Binary Categorization Decisions

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BOTZER, Assaf, Joachim MEYER, Peter BAK, Yisrael PARMET, 2010. User Settings of Cue Thresholds for Binary Categorization Decisions. In: Journal of Experimental Psychology : Applied. 16(1), pp. 1-15. Available under: doi: 10.1037/a0018758

@article{Botzer2010Setti-6151, title={User Settings of Cue Thresholds for Binary Categorization Decisions}, year={2010}, doi={10.1037/a0018758}, number={1}, volume={16}, journal={Journal of Experimental Psychology : Applied}, pages={1--15}, author={Botzer, Assaf and Meyer, Joachim and Bak, Peter and Parmet, Yisrael} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dcterms:title>User Settings of Cue Thresholds for Binary Categorization Decisions</dcterms:title> <dc:rights>terms-of-use</dc:rights> <dcterms:isPartOf rdf:resource=""/> <dc:language>eng</dc:language> <dc:contributor>Bak, Peter</dc:contributor> <dc:creator>Meyer, Joachim</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:format>application/pdf</dc:format> <bibo:uri rdf:resource=""/> <dc:contributor>Parmet, Yisrael</dc:contributor> <dc:contributor>Meyer, Joachim</dc:contributor> <dcterms:bibliographicCitation>First publ. in: Journal of Experimental Psychology : Applied. - 16 (2010), 1. - pp. 1-15</dcterms:bibliographicCitation> <dc:date rdf:datatype="">2011-03-24T16:09:50Z</dc:date> <dspace:hasBitstream rdf:resource=""/> <dcterms:hasPart rdf:resource=""/> <dc:creator>Botzer, Assaf</dc:creator> <dc:creator>Bak, Peter</dc:creator> <dcterms:issued>2010</dcterms:issued> <dcterms:abstract xml:lang="eng">A brief narrative description of the journal article, document, or resource. The output of binary cuing systems, such as alerts or alarms, depends on the threshold setting-a parameter that is often user-adjustable. However, it is unknown if users are able to adequately adjust thresholds and what information may help them to do so. Two experiments tested threshold settings for a binary classification task based on binary cues. During the task, participants decided whether a product was intact or faulty. Experimental conditions differed in the information participants received: all participants were informed about a product's fault probability and the payoffs associated with decision outcomes; one third also received information regarding conditional probabilities for a fault when the system indicated or did not indicate the existence of one (predictive values); and another third received information about conditional probabilities for the system indicating a fault, in the instance of the existence or lack thereof, of an actual fault (diagnostic values). Threshold settings in all experimental groups were nonoptimal, with settings closest to the optimum with predictive-values information. Results corresponded with a model describing threshold settings as a function of the conditional probabilities for the different outcomes. From a practical perspective, results indicate that predictive-values information best supports decisions about threshold settings. Consequently, for users to adjust thresholds, they should receive information about predictive-values, provided that such values can be computed.</dcterms:abstract> <dspace:isPartOfCollection rdf:resource=""/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:available rdf:datatype="">2011-03-24T16:09:50Z</dcterms:available> <dc:creator>Parmet, Yisrael</dc:creator> <dcterms:rights rdf:resource=""/> <dc:contributor>Botzer, Assaf</dc:contributor> </rdf:Description> </rdf:RDF>

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