Publication: Metric error monitoring in the numerical estimates
dc.contributor.coauthor | N/A | |
dc.contributor.department | Department of Psychology | |
dc.contributor.department | Department of Psychology | |
dc.contributor.kuauthor | Duyan, Yalçın Akın | |
dc.contributor.kuauthor | Balcı, Fuat | |
dc.contributor.kuprofile | PhD Student | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.other | Department of Psychology | |
dc.contributor.schoolcollegeinstitute | Graduate School of Social Sciences and Humanities | |
dc.contributor.schoolcollegeinstitute | College of Social Sciences and Humanities | |
dc.contributor.unit | N/A | |
dc.contributor.yokid | N/A | |
dc.contributor.yokid | 51269 | |
dc.date.accessioned | 2024-11-09T23:19:07Z | |
dc.date.issued | 2019 | |
dc.description.abstract | Recent studies have shown that participants can keep track of the magnitude and direction of their errors while reproducing target intervals (Akdogan & Balci, 2017) and producing numer-osities with sequentially presented auditory stimuli (Duyan & Balci, 2018). Although the latter work demonstrated that error judgments were driven by the number rather than the total duration of sequential stimulus presentations, the number and duration of stimuli are inevitably correlated in sequential presentations. This correlation empirically limits the purity of the characterization of "numerical error monitoring". The current work expanded the scope of numerical error monitoring as a form of "metric error monitoring" to numerical estimation based on simultaneously presented array of stimuli to control for temporal correlates. Our results show that numerical error monitoring ability applies to magnitude estimation in these more controlled experimental scenarios underlining its ubiquitous nature. | |
dc.description.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | PubMed | |
dc.description.openaccess | NO | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.volume | 67 | |
dc.identifier.doi | 10.1016/j.concog.2018.11.011 | |
dc.identifier.eissn | 1090-2376 | |
dc.identifier.issn | 1053-8100 | |
dc.identifier.quartile | Q2 | |
dc.identifier.scopus | 2-s2.0-85057823122 | |
dc.identifier.uri | http://dx.doi.org/10.1016/j.concog.2018.11.011 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/10484 | |
dc.identifier.wos | 455423100006 | |
dc.keywords | Numerical estimation | |
dc.keywords | Metric error monitoring | |
dc.keywords | Mathematical cognition | |
dc.keywords | Magnitude representation over-estimation | |
dc.keywords | Numerosity | |
dc.keywords | Representations | |
dc.keywords | Metacognition | |
dc.keywords | Psychophysics | |
dc.keywords | Confidence | |
dc.keywords | Choice | |
dc.keywords | Time | |
dc.language | English | |
dc.publisher | Elsevier | |
dc.relation.grantno | Turkish Academy of Sciences (TUBA GEBIP) This work was supported by Turkish Academy of Sciences (TUBA GEBIP 2015) to FB. | |
dc.source | Consciousness and Cognition | |
dc.subject | Psychology, Experimental | |
dc.title | Metric error monitoring in the numerical estimates | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.authorid | 0000-0002-4527-0165 | |
local.contributor.authorid | 0000-0003-3390-9352 | |
local.contributor.kuauthor | Duyan, Yalçın Akın | |
local.contributor.kuauthor | Balcı, Fuat | |
relation.isOrgUnitOfPublication | d5fc0361-3a0a-4b96-bf2e-5cd6b2b0b08c | |
relation.isOrgUnitOfPublication.latestForDiscovery | d5fc0361-3a0a-4b96-bf2e-5cd6b2b0b08c |