control allocation
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2022 ◽  
Author(s):  
Manuel Pusch ◽  
Thiemo M. Kier ◽  
Martin Tang ◽  
Johannes K. Dillinger ◽  
Daniel Ossmann

2022 ◽  
Author(s):  
Jose Luis R. Redondo Gutierrez ◽  
David Seelbinder ◽  
Johannes Robens ◽  
Paul Acquatella

2022 ◽  
Author(s):  
Jesse Jaramillo ◽  
Emre Yildirim ◽  
Ahmet T. Koru ◽  
Tansel Yucelen ◽  
Medrdad Pakmehr ◽  
...  

2021 ◽  
Vol 17 (12) ◽  
pp. e1009737
Author(s):  
Xiamin Leng ◽  
Debbie Yee ◽  
Harrison Ritz ◽  
Amitai Shenhav

To invest effort into any cognitive task, people must be sufficiently motivated. Whereas prior research has focused primarily on how the cognitive control required to complete these tasks is motivated by the potential rewards for success, it is also known that control investment can be equally motivated by the potential negative consequence for failure. Previous theoretical and experimental work has yet to examine how positive and negative incentives differentially influence the manner and intensity with which people allocate control. Here, we develop and test a normative model of control allocation under conditions of varying positive and negative performance incentives. Our model predicts, and our empirical findings confirm, that rewards for success and punishment for failure should differentially influence adjustments to the evidence accumulation rate versus response threshold, respectively. This dissociation further enabled us to infer how motivated a given person was by the consequences of success versus failure.


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