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Decisions from Experience: Adaptive Information Search and Choice in Younger and Older Adults

Overview of attention for article published in Frontiers in Neuroscience, January 2012
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Title
Decisions from Experience: Adaptive Information Search and Choice in Younger and Older Adults
Published in
Frontiers in Neuroscience, January 2012
DOI 10.3389/fnins.2012.00036
Pubmed ID
Authors

Julia Spaniol, Pete Wegier

Abstract

In real-world decision making, choice outcomes, and their probabilities are often not known a priori but must be learned from experience. The dopamine hypothesis of cognitive aging predicts that component processes of experience-based decision making (information search and stimulus-reward association learning) decline with age. Many existing studies in this domain have used complex neuropsychological tasks that are not optimal for testing predictions about specific cognitive processes. Here we used an experimental sampling paradigm with real monetary payoffs that provided separate measures of information search and choice for gains and losses. Compared with younger adults, older adults sought less information about uncertain risky options. However, like younger adults, older participants also showed evidence of adaptive decision making. When the desirable outcome of the risky option was rare (p = 0.10 or 0.20), both age groups engaged in more information search and made fewer risky choices, compared with when the desirable outcome of the risky option was frequent (p = 0.80 or 0.90). Furthermore, loss options elicited more sampling and greater modulation of risk taking, compared with gain options. Overall, these findings support predictions of the dopamine hypothesis of cognitive aging, but they also highlight the need for additional research into the interaction of age and valence (gain vs. loss) on experience-based choice.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 11 22%
Student > Master 7 14%
Student > Doctoral Student 3 6%
Student > Bachelor 2 4%
Other 8 16%
Unknown 7 14%
Readers by discipline Count As %
Psychology 23 47%
Neuroscience 4 8%
Computer Science 3 6%
Economics, Econometrics and Finance 3 6%
Social Sciences 2 4%
Other 6 12%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2012.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from Frontiers in Neuroscience
#8,065
of 11,537 outputs
Outputs of similar age
#172,446
of 250,083 outputs
Outputs of similar age from Frontiers in Neuroscience
#106
of 154 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.