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Sex differences in virtual navigation influenced by scale and navigation experience

Overview of attention for article published in Psychonomic Bulletin & Review, October 2016
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Title
Sex differences in virtual navigation influenced by scale and navigation experience
Published in
Psychonomic Bulletin & Review, October 2016
DOI 10.3758/s13423-016-1118-2
Pubmed ID
Authors

Lace M. Padilla, Sarah H. Creem-Regehr, Jeanine K. Stefanucci, Elizabeth A. Cashdan

Abstract

The Morris water maze is a spatial abilities test adapted from the animal spatial cognition literature and has been studied in the context of sex differences in humans. This is because its standard design, which manipulates proximal (close) and distal (far) cues, applies to human navigation. However, virtual Morris water mazes test navigation skills on a scale that is vastly smaller than natural human navigation. Many researchers have argued that navigating in large and small scales is fundamentally different, and small-scale navigation might not simulate natural human navigation. Other work has suggested that navigation experience could influence spatial skills. To address the question of how individual differences influence navigational abilities in differently scaled environments, we employed both a large- (146.4 m in diameter) and a traditional- (36.6 m in diameter) scaled virtual Morris water maze along with a novel measure of navigation experience (lifetime mobility). We found sex differences on the small maze in the distal cue condition only, but in both cue-conditions on the large maze. Also, individual differences in navigation experience modulated navigation performance on the virtual water maze, showing that higher mobility was related to better performance with proximal cues for only females on the small maze, but for both males and females on the large maze.

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The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Student > Master 15 17%
Researcher 12 14%
Student > Bachelor 9 10%
Student > Doctoral Student 4 5%
Other 6 7%
Unknown 23 27%
Readers by discipline Count As %
Psychology 26 30%
Neuroscience 9 10%
Medicine and Dentistry 7 8%
Computer Science 4 5%
Social Sciences 4 5%
Other 13 15%
Unknown 23 27%