Comparing performance in discrete and continuous comparison tasks.
The approximate number system (ANS) theory suggests that all magnitudes, discrete (i.e., number of items) or continuous (i.e., size, density, etc.), are processed by a shared system and comply with Weber's law. The current study reexamined this notion by comparing performance in discrete (comparing...
| Publicado en: | Quarterly Journal of Experimental Psychology Vol. 67; no. 5; pp. 899 - 918 |
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| Autores principales: | , |
| Formato: | Artículo |
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Sage Publications Inc.
May2014
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| 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=95786769&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 95786769 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 17470218 1US5 jtl: Quarterly Journal of Experimental Psychology issn: 17470218 maglogo: Y pubinfo: dt: May2014 vid: 67 iid: 5 pid: 344 pub: Sage Publications Inc. artinfo: ui: 95786769 10.1080/17470218.2013.837940 ppf: 899 ppct: 19 formats: tig: atl: Comparing performance in discrete and continuous comparison tasks. aug: au: Leibovich, Tali Henik, Avishai affil: Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel Department of Psychology and the Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel su: Cognition Task performance Psychophysics Number systems Number theory Weber-Fechner law sug: subj: Cognition Task performance Psychophysics Number systems Number theory Weber-Fechner law keyword: Approximate number system Continuous magnitudes. Numerical cognition Approximate number system Continuous magnitudes. Numerical cognition ab: The approximate number system (ANS) theory suggests that all magnitudes, discrete (i.e., number of items) or continuous (i.e., size, density, etc.), are processed by a shared system and comply with Weber's law. The current study reexamined this notion by comparing performance in discrete (comparing numerosities of dot arrays) and continuous (comparisons of area of squares) tasks. We found that: (a) threshold of discrimination was higher for continuous than for discrete comparisons; (b) while performance in the discrete task complied with Weber's law, performance in the continuous task violated it; and (c) performance in the discrete task was influenced by continuous properties (e.g., dot density, dot cumulative area) of the dot array that were not predictive of numerosities or task relevant. Therefore, we propose that the magnitude processing system (MPS) is actually divided into separate (yet interactive) systems for discrete and continuous magnitude processing. Further subdivisions are discussed. We argue that cooperation between these systems results in a holistic comparison of magnitudes, one that takes into account continuous properties in addition to numerosities. Considering the MPS as two systems opens the door to new and important questions that shed light on both normal and impaired development of the numerical system. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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