Comparing sensitivity estimates from MLDS and forced-choice methods in a slant-from-texture experiment

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dc.contributor.authorAguilar, Guillermo
dc.contributor.authorWichmann, Felix A.
dc.contributor.authorMaertens, Marianne
dc.date.accessioned2020-11-20T12:48:39Z
dc.date.available2020-11-20T12:48:39Z
dc.date.issued2017
dc.description.abstractMaximum likelihood difference scaling (MLDS) is a method for the estimation of perceptual scales based on the judgment of differences in stimulus appearance (Maloney & Yang, 2003). MLDS has recently also been used to estimate near-threshold discrimination performance (Devinck & Knoblauch, 2012). Using MLDS as a psychophysical method for sensitivity estimation is potentially appealing, because MLDS has been reported to need less data than forced-choice procedures, and particularly naive observers report to prefer suprathreshold comparisons to JND-style threshold tasks. Here we compare two methods, MLDS and two-interval forced-choice (2-IFC), regarding their capability to estimate sensitivity assuming an underlying signal-detection model. We first examined the theoretical equivalence between both methods using simulations. We found that they disagreed in their estimation only when sensitivity was low, or when one of the assumptions on which MLDS is based was violated. Furthermore, we found that the confidence intervals derived from MLDS had a low coverage; i.e., they were too narrow, underestimating the true variability. Subsequently we compared MLDS and 2-IFC empirically using a slant-from-texture task. The amount of agreement between sensitivity estimates from the two methods varied substantially across observers. We discuss possible reasons for the observed disagreements, most notably violations of the MLDS model assumptions. We conclude that in the present example MLDS and 2-IFC could equally be used to estimate sensitivity to differences in slant, with MLDS having the benefit of being more efficient and more pleasant, but having the disadvantage of unsatisfying coverage.en
dc.description.sponsorshipDFG, 188583648, Die Bestimmung der Beziehung zwischen subjektiver Empfindung und Diskriminationsvermögen durch eine Kombination aus Psychophysik, Computationaler Modellierung und der Messung neuronaler Antwortenen
dc.description.sponsorshipDFG, 103586207, GRK 1589: Verarbeitung sensorischer Informationen in neuronalen Systemenen
dc.identifier.eissn1534-7362
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/12047
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-10921
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc610 Medizin und Gesundheiten
dc.subject.othermaximum likelihood difference scalingen
dc.subject.otherMLDSen
dc.subject.othersensitivity estimationen
dc.subject.otherforced choiceen
dc.subject.otherjudgmenten
dc.titleComparing sensitivity estimates from MLDS and forced-choice methods in a slant-from-texture experimenten
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber37
dcterms.bibliographicCitation.doi10.1167/17.1.37
dcterms.bibliographicCitation.issue1
dcterms.bibliographicCitation.journaltitleJournal of Visionen
dcterms.bibliographicCitation.originalpublishernameAssociation for Research in Vision and Ophthalmology (ARVO)en
dcterms.bibliographicCitation.originalpublisherplaceRockville, Md.en
dcterms.bibliographicCitation.volume17
tub.accessrights.dnbfree
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Softwaretechnik und Theoretische Informatik::FG Neuronale Informationsverarbeitungde
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Neuronale Informationsverarbeitungde
tub.affiliation.instituteInst. Softwaretechnik und Theoretische Informatikde
tub.publisher.universityorinstitutionTechnische Universität Berlinde

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