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Environmental context-dependent memory: A review and meta-analysis

Overview of attention for article published in Psychonomic Bulletin & Review, June 2001
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Title
Environmental context-dependent memory: A review and meta-analysis
Published in
Psychonomic Bulletin & Review, June 2001
DOI 10.3758/bf03196157
Pubmed ID
Authors

Steven M. Smith, Edward Vela

Abstract

To address questions about human memory's dependence on the coincidental environmental contexts in which events occur, we review studies of incidental environmental context-dependent memory in humans and report a meta-analysis. Our theoretical approach to the issue stems from Glenberg's (1997) contention that introspective thought (e.g., remembering, conceptualizing) requires cognitive resources normally used to represent the immediate environment. We propose that if tasks encourage processing of noncontextual information (i.e., introspective thought) at input and/or at test, then both learning and memory will be less dependent on the ambient environmental contexts in which those activities occur. The meta-analysis showed that across all studies, environmental context effects were reliable, and furthermore, that the use of noncontextual cues during learning (overshadowing) and at test (outshining), as well as mental reinstatement of appropriate context cues at test, all reduce the effect of environmental manipulations. We conclude that environmental context-dependent memory effects are less likely to occur under conditions in which the immediate environment is likely to be suppressed.

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Geographical breakdown

Country Count As %
United States 20 3%
United Kingdom 13 2%
Germany 5 <1%
Portugal 3 <1%
France 2 <1%
Austria 2 <1%
New Zealand 2 <1%
Netherlands 2 <1%
South Africa 1 <1%
Other 6 1%
Unknown 538 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 131 22%
Student > Bachelor 104 18%
Researcher 75 13%
Student > Master 67 11%
Professor 30 5%
Other 115 19%
Unknown 72 12%
Readers by discipline Count As %
Psychology 301 51%
Neuroscience 49 8%
Computer Science 26 4%
Agricultural and Biological Sciences 23 4%
Social Sciences 21 4%
Other 67 11%
Unknown 107 18%