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Knowing Where to Draw the Line: Perceptual Differences between Risk-takers and Non-Risk-Takers

Overview of attention for article published in PLOS ONE, March 2014
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Title
Knowing Where to Draw the Line: Perceptual Differences between Risk-takers and Non-Risk-Takers
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0091880
Pubmed ID
Authors

Adam T. Biggs, Paul C. Stey, Christopher C. Davoli, Daniel Lapsley, James R. Brockmole

Abstract

There are a variety of reasons someone might engage in risky behaviors, such as perceived invulnerability to harm or a belief that negative outcomes are more likely for others than for oneself. However, these risk-taking biases are often measured at a decision-making level or from the developmental perspective. Here we assessed whether or not risk-taking influenced perceptual judgments associated with risk. Participants were provided an objective task to measure individual differences in the perception of physical dimensions (i.e., actual size of a balloon) versus the perception of risk (i.e., size at which the balloon would explode). Our results show that specific differences in risk-taking personalities produce specific differences in perceptual judgments about risk, but do not affect perception of the actual dimensions. Thus, risk-takers differ from non-risk-takers in the perceptual estimations they make about risks, and therefore may be more likely to engage in dangerous or uncertain behaviors because they perceive risks differently.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 33%
Student > Ph. D. Student 3 17%
Researcher 2 11%
Student > Bachelor 1 6%
Librarian 1 6%
Other 2 11%
Unknown 3 17%
Readers by discipline Count As %
Psychology 9 50%
Social Sciences 2 11%
Agricultural and Biological Sciences 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Computer Science 1 6%
Other 1 6%
Unknown 3 17%