The simultaneous recognition of multiple words: A process analysis.
In everyday life, recognition decisions often have to be made for multiple objects simultaneously. In contrast, research on recognition memory has predominantly relied on single-item recognition paradigms. We present a first systematic investigation into the cognitive processes that differ between s...
| Publicado en: | Memory & Cognition Vol. 49; no. 4; pp. 787 - 803 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
May2021
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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=150044177&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 150044177 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: May2021 vid: 49 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 150044177 10.3758/s13421-020-01082-w ppf: 787 ppct: 16 formats: fmt: @attributes: type: P size: 993KB tig: atl: The simultaneous recognition of multiple words: A process analysis. aug: au: Voormann, Anne Spektor, Mikhail S. Klauer, Karl Christoph affil: Department of Psychology, University of Freiburg, Engelbergerstraße 41, 79106, Freiburg, Germany Department of Economics and Business, Universitat Pompeu Fabra, Barcelona, Spain Barcelona Graduate School of Economics, Barcelona, Spain su: Germany Memory Analysis of variance Cognition Confidence intervals Word recognition Mathematical models Theory Descriptive statistics sug: subj: Memory Analysis of variance Cognition Germany Confidence intervals Word recognition Mathematical models Theory Descriptive statistics keyword: Cognitive modeling Continuous models Discrete-state models Recognition memory Cognitive modeling Continuous models Discrete-state models Recognition memory ab: In everyday life, recognition decisions often have to be made for multiple objects simultaneously. In contrast, research on recognition memory has predominantly relied on single-item recognition paradigms. We present a first systematic investigation into the cognitive processes that differ between single-word and paired-word tests of recognition memory. In a single-word test, participants categorize previously presented words and new words as having been studied before (old) or not (new). In a paired-word test, however, the test words are randomly paired, and participants provide joint old–new categorizations of both words for each pair. Across two experiments (N = 170), we found better memory performance for words tested singly rather than in pairs and, more importantly, dependencies between the two single-word decisions implied by the paired-word test. We extended two popular model classes of single-item recognition to paired-word recognition, a discrete-state model and a continuous model. Both models attribute performance differences between single-word and paired-word recognition to differences in memory-evidence strength. Discrete-state models account for the dependencies in paired-word decisions in terms of dependencies in guessing. In contrast, continuous models map the dependencies on mnemonic (Experiment 1 & 2) as well as on decisional processes (Experiment 2). However, in both experiments, model comparison favored the discrete-state model, indicating that memory decisions for word pairs seem to be mediated by discrete states. Our work suggests that individuals tackle multiple-item recognition fundamentally differently from single-item recognition, and it provides both a behavioral and model-based paradigm for studying multiple-item recognition. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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