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When Less Is More: Evolutionary Origins of the Affect Heuristic

Overview of attention for article published in PLOS ONE, October 2012
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Title
When Less Is More: Evolutionary Origins of the Affect Heuristic
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046240
Pubmed ID
Authors

Jerald D. Kralik, Eric R. Xu, Emily J. Knight, Sara A. Khan, William J. Levine

Abstract

The human mind is built for approximations. When considering the value of a large aggregate of different items, for example, we typically do not summate the many individual values. Instead, we appear to form an immediate impression of the likeability of the option based on the average quality of the full collection, which is easier to evaluate and remember. While useful in many situations, this affect heuristic can lead to apparently irrational decision-making. For example, studies have shown that people are willing to pay more for a small set of high-quality goods than for the same set of high-quality goods with lower-quality items added [e.g. 1]. We explored whether this kind of choice behavior could be seen in other primates. In two experiments, one in the laboratory and one in the field, using two different sets of food items, we found that rhesus monkeys preferred a highly-valued food item alone to the identical item paired with a food of positive but lower value. This finding provides experimental evidence that, under certain conditions, macaque monkeys follow an affect heuristic that can cause them to prefer less food. Conservation of this affect heuristic could account for similar 'irrational' biases in humans, and may reflect a more general complexity reduction strategy in which averages, prototypes, or stereotypes represent a set or group.

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Geographical breakdown

Country Count As %
Germany 1 1%
Italy 1 1%
Iceland 1 1%
Bosnia and Herzegovina 1 1%
United States 1 1%
Luxembourg 1 1%
Unknown 76 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Researcher 11 13%
Student > Master 9 11%
Student > Doctoral Student 7 9%
Student > Bachelor 7 9%
Other 22 27%
Unknown 15 18%
Readers by discipline Count As %
Psychology 29 35%
Agricultural and Biological Sciences 8 10%
Medicine and Dentistry 5 6%
Environmental Science 4 5%
Business, Management and Accounting 4 5%
Other 12 15%
Unknown 20 24%