Literature DB >> 28971366

Item strength affects working memory capacity.

Zhangfan Shen1,2, Vencislav Popov2,3, Anita B Delahay2, Lynne M Reder4,5.   

Abstract

Do the processing and online manipulation of stimuli that are less familiar require more working memory (WM) resources? Is it more difficult to solve demanding problems when the symbols involved are less rather than more familiar? We explored these questions with a dual-task paradigm in which subjects had to solve algebra problems of different complexities while simultaneously holding novel symbol-digit associations in WM. The symbols were previously unknown Chinese characters, whose familiarity was manipulated by differential training frequency with a visual search task for nine hour-long sessions over 3 weeks. Subsequently, subjects solved equations that required one or two transformations. Before each trial, two different integers were assigned to two different Chinese characters of the same training frequency. Half of the time, those characters were present as variables in the equation and had to be substituted for the corresponding digits. After attempting to solve the equation, subjects had to recognize which two characters were shown immediately before that trial and to recall the integer associated with each. Solution accuracy and response times were better when the problems required one transformation only; variable substitution was not required; or the Chinese characters were high frequency. The effects of stimulus familiarity increased as the WM demands of the equation increased. Character-digit associations were also recalled less well with low-frequency characters. These results provide strong support that WM capacity depends not only on the number of chunks of information one is attempting to process but also on their strength or familiarity.

Keywords:  Familiarity; Knowledge; Math; Problem-solving; Working memory

Mesh:

Year:  2018        PMID: 28971366     DOI: 10.3758/s13421-017-0758-4

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  46 in total

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Journal:  Memory       Date:  2014-09-12

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Authors:  Robert S Blumenfeld; Colleen M Parks; Andrew P Yonelinas; Charan Ranganath
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Journal:  Dev Neuropsychol       Date:  2008       Impact factor: 2.253

10.  Simulating Language-specific and Language-general Effects in a Statistical Learning Model of Chinese Reading.

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  1 in total

1.  Prefrontal oscillations modulate the propagation of neuronal activity required for working memory.

Authors:  Jason Sherfey; Salva Ardid; Earl K Miller; Michael E Hasselmo; Nancy J Kopell
Journal:  Neurobiol Learn Mem       Date:  2020-06-17       Impact factor: 2.877

  1 in total

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