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Working memory, fluid intelligence, and impulsiveness in heavy media multitaskers

Overview of attention for article published in Psychonomic Bulletin & Review, May 2013
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Title
Working memory, fluid intelligence, and impulsiveness in heavy media multitaskers
Published in
Psychonomic Bulletin & Review, May 2013
DOI 10.3758/s13423-013-0456-6
Pubmed ID
Authors

Meredith Minear, Faith Brasher, Mark McCurdy, Jack Lewis, Andrea Younggren

Abstract

Ophir, Nass, and Wagner (Proceedings of the National Association of Sciences 106:15583-15587, 2009) reported that individuals who routinely engage in multiple forms of media use are actually worse at multitasking, possibly due to difficulties in ignoring irrelevant stimuli, from both external sources and internal representations in memory. Using the media multitasking index (MMI) developed by Ophir et al., we identified heavy media multitaskers (HMMs) and light media multitaskers (LMMs) and tested them on measures of attention, working memory, task switching, and fluid intelligence, as well as self-reported impulsivity and self-control. We found that people who reported engaging in heavy amounts of media multitasking reported being more impulsive and performed more poorly on measures of fluid intelligence than did those who did not frequently engage in media multitasking. However, we could find no evidence to support the contention that HMMs are worse in a multitasking situation such as task switching or that they show any deficits in dealing with irrelevant or distracting information, as compared with LMMs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 1 <1%
Switzerland 1 <1%
Canada 1 <1%
Sweden 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 239 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 55 22%
Student > Ph. D. Student 41 16%
Student > Master 32 13%
Researcher 19 8%
Student > Doctoral Student 17 7%
Other 41 16%
Unknown 44 18%
Readers by discipline Count As %
Psychology 112 45%
Social Sciences 19 8%
Computer Science 12 5%
Neuroscience 11 4%
Medicine and Dentistry 10 4%
Other 32 13%
Unknown 53 21%