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How the threat of losses makes people explore more than the promise of gains

Overview of attention for article published in Psychonomic Bulletin & Review, September 2016
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Title
How the threat of losses makes people explore more than the promise of gains
Published in
Psychonomic Bulletin & Review, September 2016
DOI 10.3758/s13423-016-1158-7
Pubmed ID
Authors

Tomás Lejarraga, Ralph Hertwig

Abstract

Until recently, loss aversion has been inferred exclusively from choice asymmetries in the loss and gain domains. This study examines the impact of the prospect of losses on exploratory search in a situation in which exploration is costly. Taking advantage of the largest available data set of decisions from experience, analyses showed that most people explore payoff distributions more under the threat of a loss than under the promise of a gain. This behavioral regularity thus occurs in both costly search and cost-free search (see Lejarraga, Hertwig, & Gonzalez, Cognition, 124, 334-342, 2012). Furthermore, a model comparison identified the simple win-stay-lose-shift heuristic as a likely candidate mechanism behind the loss-gain exploration asymmetry observed. In contrast, models assuming loss aversion failed to reproduce the asymmetry. Moreover, the asymmetry was not simply a precursor of loss aversion but a phenomenon separate from it. These findings are consistent with the recently proposed notion of intensified vigilance in the face of potential losses.

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Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Switzerland 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 28%
Student > Master 12 16%
Researcher 10 14%
Student > Bachelor 7 9%
Student > Doctoral Student 5 7%
Other 9 12%
Unknown 10 14%
Readers by discipline Count As %
Psychology 34 46%
Business, Management and Accounting 5 7%
Neuroscience 4 5%
Decision Sciences 3 4%
Agricultural and Biological Sciences 2 3%
Other 8 11%
Unknown 18 24%