Location-based errors in change detection: A challenge for the slots model of visual working memory.
The slots model of visual working memory, despite its simplicity, has provided an excellent account of data across a number of change detection experiments. In the current research, we provide a new test of the slots model by investigating its ability to account for the increased prevalence of error...
| Publicado en: | Memory & Cognition Vol. 43; no. 3; pp. 421 - 432 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Apr2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=102426889&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 102426889 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0090502X MEG jtl: Memory & Cognition issn: 0090502X maglogo: N pubinfo: dt: Apr2015 vid: 43 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 102426889 10.3758/s13421-014-0487-x ppf: 421 ppct: 11 formats: fmt: @attributes: type: P size: 1.2MB tig: atl: Location-based errors in change detection: A challenge for the slots model of visual working memory. aug: au: Donkin, Chris Tran, Sophia Le Pelley, Mike affil: School of Psychology, University of New South Wales, Sydney Australia su: Analysis of variance Parameters (Statistics) Task performance Mathematical statistics Short-term memory Statistical models sug: subj: Analysis of variance Parameters (Statistics) Task performance Mathematical statistics Short-term memory Statistical models keyword: Change detection Memory Memory models Short term memory Working memory Change detection Memory Memory models Short term memory Working memory ab: The slots model of visual working memory, despite its simplicity, has provided an excellent account of data across a number of change detection experiments. In the current research, we provide a new test of the slots model by investigating its ability to account for the increased prevalence of errors when there is a potential for confusion about the location in which items are presented during study. We assume that such location errors in the slots model occur when the feature information for an item in one location is swapped with the feature information for an item in another location. We show that such a model predicts two factors that will influence the extent to which location errors occur: (1) whether the test item changes to an 'external' item not presented at study, or to an 'internal' item presented at another location during study, and (2) the number of items in the study array. We manipulate these factors in an experiment, and show that the slots model with location errors fails to provide a satisfactory account of the observed data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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