Literature DB >> 26139356

Effects of strategy on visual working memory capacity.

Jesse J Bengson1, Steven J Luck2.   

Abstract

Substantial evidence suggests that individual differences in estimates of working memory capacity reflect differences in how effectively people use their intrinsic storage capacity. This suggests that estimated capacity could be increased by instructions that encourage more effective encoding strategies. The present study tested this by giving different participants explicit strategy instructions in a change detection task. Compared to a condition in which participants were simply told to do their best, we found that estimated capacity was increased for participants who were instructed to remember the entire visual display, even at set sizes beyond their capacity. However, no increase in estimated capacity was found for a group that was told to focus on a subset of the items in supracapacity arrays. This finding confirms the hypothesis that encoding strategies may influence visual working memory performance, and it is contrary to the hypothesis that the optimal strategy is to filter out any items beyond the storage capacity.

Entities:  

Keywords:  Visual working memory; Working memory

Mesh:

Year:  2016        PMID: 26139356      PMCID: PMC4698363          DOI: 10.3758/s13423-015-0891-7

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  31 in total

1.  Capacity limit of visual short-term memory in human posterior parietal cortex.

Authors:  J Jay Todd; René Marois
Journal:  Nature       Date:  2004-04-15       Impact factor: 49.962

2.  Discrete fixed-resolution representations in visual working memory.

Authors:  Weiwei Zhang; Steven J Luck
Journal:  Nature       Date:  2008-04-02       Impact factor: 49.962

3.  Neural measures reveal individual differences in controlling access to working memory.

Authors:  Edward K Vogel; Andrew W McCollough; Maro G Machizawa
Journal:  Nature       Date:  2005-11-24       Impact factor: 49.962

4.  Encoding strategy accounts for individual differences in change detection measures of VSTM.

Authors:  A C Linke; A Vicente-Grabovetsky; D J Mitchell; R Cusack
Journal:  Neuropsychologia       Date:  2010-12-03       Impact factor: 3.139

5.  How to measure working memory capacity in the change detection paradigm.

Authors:  Jeffrey N Rouder; Richard D Morey; Candice C Morey; Nelson Cowan
Journal:  Psychon Bull Rev       Date:  2011-04

6.  When do visual and verbal memories conflict? The importance of working-memory load and retrieval.

Authors:  Candice C Morey; Nelson Cowan
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2005-07       Impact factor: 3.051

Review 7.  Flexible cognitive resources: competitive content maps for attention and memory.

Authors:  Steven L Franconeri; George A Alvarez; Patrick Cavanagh
Journal:  Trends Cogn Sci       Date:  2013-02-18       Impact factor: 20.229

8.  Encoding strategy and not visual working memory capacity correlates with intelligence.

Authors:  Rhodri Cusack; Manja Lehmann; Michele Veldsman; Daniel J Mitchell
Journal:  Psychon Bull Rev       Date:  2009-08

9.  Visual working memory represents a fixed number of items regardless of complexity.

Authors:  Edward Awh; Brian Barton; Edward K Vogel
Journal:  Psychol Sci       Date:  2007-07

10.  Discrete resource allocation in visual working memory.

Authors:  Brian Barton; Edward F Ester; Edward Awh
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-10       Impact factor: 3.332

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  2 in total

1.  Concrete mindset impairs filtering in visual working memory.

Authors:  Britt Hadar; Roy Luria; Nira Liberman
Journal:  Psychon Bull Rev       Date:  2019-12

2.  Visual short-term memory through the lifespan: Preserved benefits of context and metacognition.

Authors:  Daniel J Mitchell; Rhodri Cusack
Journal:  Psychol Aging       Date:  2018-08
  2 in total

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