High Regularities in Eye‐Movement Patterns Reveal the Dynamics of the Visual Working Memory Allocation Mechanism
With only two to five slots of visual working memory (VWM), humans are able to quickly solve complex visual problems to near optimal solutions. To explain the paradox between tightly constrained VWM and impressively complex human visual problem‐solving ability, we propose several principles for dyna...
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| Veröffentlicht in: | Cognitive science 2010-03, Vol.34 (2), p.322-337 |
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| creator | Kong, Xiaohui Schunn, Christian D. Wallstrom, Garrick L. |
| description | With only two to five slots of visual working memory (VWM), humans are able to quickly solve complex visual problems to near optimal solutions. To explain the paradox between tightly constrained VWM and impressively complex human visual problem‐solving ability, we propose several principles for dynamic VWM allocation. In particular, we propose that complex visual information is represented in a temporal manner using only a few slots of VWM that include global and local visual chunks. We built a model of human traveling salesman problem solving based on these principles of VWM allocation and tested the model with eye‐movement data. Exactly as the model predicted, human eye movements during traveling salesman problem solving have precise quantitative regularities with regard to both the general statistical pattern of attentional fixations and how they vary across individuals with different VWM capacities. Even though VWM capacity is very limited, eye movements dynamically allocate VWM resources to both local and global information, enabling attention to fine details without loss of the big picture. |
| doi_str_mv | 10.1111/j.1551-6709.2009.01075.x |
| format | Article |
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To explain the paradox between tightly constrained VWM and impressively complex human visual problem‐solving ability, we propose several principles for dynamic VWM allocation. In particular, we propose that complex visual information is represented in a temporal manner using only a few slots of VWM that include global and local visual chunks. We built a model of human traveling salesman problem solving based on these principles of VWM allocation and tested the model with eye‐movement data. Exactly as the model predicted, human eye movements during traveling salesman problem solving have precise quantitative regularities with regard to both the general statistical pattern of attentional fixations and how they vary across individuals with different VWM capacities. 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To explain the paradox between tightly constrained VWM and impressively complex human visual problem‐solving ability, we propose several principles for dynamic VWM allocation. In particular, we propose that complex visual information is represented in a temporal manner using only a few slots of VWM that include global and local visual chunks. We built a model of human traveling salesman problem solving based on these principles of VWM allocation and tested the model with eye‐movement data. Exactly as the model predicted, human eye movements during traveling salesman problem solving have precise quantitative regularities with regard to both the general statistical pattern of attentional fixations and how they vary across individuals with different VWM capacities. Even though VWM capacity is very limited, eye movements dynamically allocate VWM resources to both local and global information, enabling attention to fine details without loss of the big picture.</description><subject>Biological and medical sciences</subject><subject>Cognition. Intelligence</subject><subject>Cognitive ability</subject><subject>Complex problem solving</subject><subject>Computational cognitive model</subject><subject>Eye movements</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Global visual information processing</subject><subject>Human</subject><subject>Learning. Memory</subject><subject>Memory</subject><subject>Perception</subject><subject>Problem solving</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Reasoning. Problem solving</subject><subject>Vision</subject><subject>Visual working memory</subject><subject>Visualization</subject><issn>0364-0213</issn><issn>1551-6709</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqNkc1u1DAQxy0EosvCKyALCXHKYsexk1yQqqW0lVoVla-j5XidXS-OXeykNDcegWfskzDpLkXqCR_GHs9vRjPzRwhTsqBw3m4XlHOaiZLUi5yAIZSUfHHzCM3uA4_RjDBRZCSn7AA9S2lLCBGC1U_RQU65KMDMUDyx6w2-NOvBqWh7axK2Hh-N5vbX7_NwbTrje_xR9b2JPgF3bZTD_cbg96NXndUJh_bO_2rTAKFvIX63fo3PTRfiiA-dC1r1Nnj40Rvlbeqeoyetcsm82N9z9OXD0eflSXZ2cXy6PDzLdFEKnvGm5EQrrkWjRJ5XK26IglADA4HXFm1bMpi6KY2uSK15CX7Z8pUgghaqYXP0Zlf3KoYfg0m97GzSxjnlTRiSrITgjJWsAPLVA3IbhuihOQlLKqioagpQtYN0DClF08qraDsVR0mJnFSRWzktX07Ll5Mq8k4VeQOpL_f1h6Yzq_vEvzIA8HoPqKSVa6Py2qZ_XM7zWkCrc_Rux_20zoz_3YBcXhx_mp7sDyjfqRo</recordid><startdate>201003</startdate><enddate>201003</enddate><creator>Kong, Xiaohui</creator><creator>Schunn, Christian D.</creator><creator>Wallstrom, Garrick L.</creator><general>Blackwell Publishing Ltd</general><general>Wiley-Blackwell</general><general>Wiley Subscription Services, Inc</general><scope>IQODW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7X8</scope></search><sort><creationdate>201003</creationdate><title>High Regularities in Eye‐Movement Patterns Reveal the Dynamics of the Visual Working Memory Allocation Mechanism</title><author>Kong, Xiaohui ; Schunn, Christian D. ; Wallstrom, Garrick L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4765-5b750ca5c6ba6228d5e0ac47b02128df4ff73075b7ec809c57f737f5d60614ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Biological and medical sciences</topic><topic>Cognition. Intelligence</topic><topic>Cognitive ability</topic><topic>Complex problem solving</topic><topic>Computational cognitive model</topic><topic>Eye movements</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Global visual information processing</topic><topic>Human</topic><topic>Learning. Memory</topic><topic>Memory</topic><topic>Perception</topic><topic>Problem solving</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Reasoning. Problem solving</topic><topic>Vision</topic><topic>Visual working memory</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kong, Xiaohui</creatorcontrib><creatorcontrib>Schunn, Christian D.</creatorcontrib><creatorcontrib>Wallstrom, Garrick L.</creatorcontrib><collection>Pascal-Francis</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Cognitive science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kong, Xiaohui</au><au>Schunn, Christian D.</au><au>Wallstrom, Garrick L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High Regularities in Eye‐Movement Patterns Reveal the Dynamics of the Visual Working Memory Allocation Mechanism</atitle><jtitle>Cognitive science</jtitle><addtitle>Cogn Sci</addtitle><date>2010-03</date><risdate>2010</risdate><volume>34</volume><issue>2</issue><spage>322</spage><epage>337</epage><pages>322-337</pages><issn>0364-0213</issn><eissn>1551-6709</eissn><coden>COGSD5</coden><abstract>With only two to five slots of visual working memory (VWM), humans are able to quickly solve complex visual problems to near optimal solutions. 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| subjects | Biological and medical sciences Cognition. Intelligence Cognitive ability Complex problem solving Computational cognitive model Eye movements Fundamental and applied biological sciences. Psychology Global visual information processing Human Learning. Memory Memory Perception Problem solving Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Reasoning. Problem solving Vision Visual working memory Visualization |
| title | High Regularities in Eye‐Movement Patterns Reveal the Dynamics of the Visual Working Memory Allocation Mechanism |
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