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Too Good to Be True: Rhesus Monkeys React Negatively to Better-than-Expected Offers

Overview of attention for article published in PLOS ONE, October 2013
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Title
Too Good to Be True: Rhesus Monkeys React Negatively to Better-than-Expected Offers
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0075768
Pubmed ID
Authors

Emily J. Knight, Kristen M. Klepac, Jerald D. Kralik

Abstract

To succeed in a dynamically changing world, animals need to predict their environments. Humans, in fact, exhibit such a strong desire for consistency that one of the most well-established findings in social psychology is the effort people make to maintain consistency among their beliefs, attitudes, and behavior. However, displeasure with unpredictability leads to a potential paradox, because a positive outcome that exceeds one's expectations often leads to increased subjective value and positive affect, not the opposite. We tested the hypothesis that two evolutionarily-conserved evaluation processes underlie goal-directed behavior: (1) consistency, concerned with prediction errors, and (2) valuation, concerned with outcome utility. Rhesus monkeys (Macaca mulatta) viewed a food item and then were offered an identical, better, or worse food, which they could accept or reject. The monkeys ultimately accepted all offers, attesting to the influence of the valuation process. However, they were slower to accept the unexpected offers, and they exhibited aversive reactions, especially to the better-than-expected offers, repeatedly turning their heads and looking away before accepting the food item. Our findings (a) provide evidence for two separable evaluation processes in primates, consistency and value assessment, (b) reveal a direct relationship between consistency assessment and emotional processes, and (c) show that our wariness with events that are much better than expected is shared with other social primates.

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Geographical breakdown

Country Count As %
Japan 1 3%
United States 1 3%
Germany 1 3%
France 1 3%
Unknown 29 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Ph. D. Student 8 24%
Student > Doctoral Student 3 9%
Student > Master 3 9%
Other 2 6%
Other 3 9%
Unknown 6 18%
Readers by discipline Count As %
Psychology 9 27%
Agricultural and Biological Sciences 7 21%
Neuroscience 4 12%
Engineering 2 6%
Computer Science 1 3%
Other 3 9%
Unknown 7 21%