Two good reasons to say 'change!' – ensemble representations as well as item representations impact standard measures of VWM capacity.
Visual working memory (VWM) is a central bottleneck in human information processing. Its capacity is most often measured in terms of how many individual‐item representations VWM can hold (k). In the standard task employed to estimate k, an array of highly discriminable colour patches is maintained a...
| Published in: | British Journal of Psychology Vol. 110; no. 2; pp. 328 - 357 |
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| Main Authors: | , , |
| Format: | Article |
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Wiley-Blackwell
May2019
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=135876815&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 135876815 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00071269 BJP jtl: British Journal of Psychology issn: 00071269 maglogo: Y pubinfo: dt: May2019 vid: 110 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 135876815 10.1111/bjop.12359 ppf: 328 ppct: 29 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 454KB tig: atl: Two good reasons to say 'change!' – ensemble representations as well as item representations impact standard measures of VWM capacity. aug: au: Liesefeld, Heinrich René Liesefeld, Anna M. Müller, Hermann J. affil: Department Psychologie, Ludwig‐Maximilians‐Universität München, Germany Graduate School of Systemic Neurosciences, Ludwig‐Maximilians‐Universität München, Germany Department of Psychological Sciences, Birkbeck College, University of London, UK su: Task performance Color vision testing Short-term memory Visual perception Statistical models sug: subj: Task performance Color vision testing Short-term memory Visual perception Statistical models keyword: change detection change localization cognitive modelling visual short‐term memory working memory capacity change detection change localization cognitive modelling visual short‐term memory working memory capacity ab: Visual working memory (VWM) is a central bottleneck in human information processing. Its capacity is most often measured in terms of how many individual‐item representations VWM can hold (k). In the standard task employed to estimate k, an array of highly discriminable colour patches is maintained and, after a short retention interval, compared to a test display (change detection). Recent research has shown that with more complex, structured displays, change‐detection performance is, in addition to individual‐item representations, supported by ensemble representations formed as a result of spatial subgroupings. Here, by asking participants to additionally localize the change, we reveal indication for an influence of ensemble representations even in the very simple, unstructured displays of the colour‐patch change‐detection task. Critically, pure‐item models from which standard formulae of k are derived do not consider ensemble representations and, therefore, potentially overestimate k. To gauge this overestimation, we develop an item‐plus‐ensemble model of change detection and change localization. Estimates of k from this new model are about 1 item (~30%) lower than the estimates from traditional pure‐item models, even if derived from the same data sets. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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