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Promising High Monetary Rewards for Future Task Performance Increases Intermediate Task Performance

Overview of attention for article published in PLOS ONE, August 2012
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Title
Promising High Monetary Rewards for Future Task Performance Increases Intermediate Task Performance
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042547
Pubmed ID
Authors

Claire M. Zedelius, Harm Veling, Erik Bijleveld, Henk Aarts

Abstract

In everyday life contexts and work settings, monetary rewards are often contingent on future performance. Based on research showing that the anticipation of rewards causes improved task performance through enhanced task preparation, the present study tested the hypothesis that the promise of monetary rewards for future performance would not only increase future performance, but also performance on an unrewarded intermediate task. Participants performed an auditory Simon task in which they responded to two consecutive tones. While participants could earn high vs. low monetary rewards for fast responses to every second tone, their responses to the first tone were not rewarded. Moreover, we compared performance under conditions in which reward information could prompt strategic performance adjustments (i.e., when reward information was presented for a relatively long duration) to conditions preventing strategic performance adjustments (i.e., when reward information was presented very briefly). Results showed that high (vs. low) rewards sped up both rewarded and intermediate, unrewarded responses, and the effect was independent of the duration of reward presentation. Moreover, long presentation led to a speed-accuracy trade-off for both rewarded and unrewarded tones, whereas short presentation sped up responses to rewarded and unrewarded tones without this trade-off. These results suggest that high rewards for future performance boost intermediate performance due to enhanced task preparation, and they do so regardless whether people respond to rewards in a strategic or non-strategic manner.

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Geographical breakdown

Country Count As %
Belgium 1 1%
Switzerland 1 1%
Brazil 1 1%
Unknown 69 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 28%
Researcher 10 14%
Student > Master 9 13%
Student > Doctoral Student 7 10%
Student > Bachelor 5 7%
Other 16 22%
Unknown 5 7%
Readers by discipline Count As %
Psychology 37 51%
Social Sciences 5 7%
Neuroscience 4 6%
Business, Management and Accounting 4 6%
Agricultural and Biological Sciences 2 3%
Other 10 14%
Unknown 10 14%