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Quantifying the subjective cost of self-control in humans - pnas.org

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Significance

The failure to use self-control is a fundamental problem that humans face in daily life. Recent work suggests that these “failures” might be better understood as a rational decision-making process that weighs the benefits of exercising self-control against its attendant cognitive costs. However, we still know little about how to measure these costs or how they change under different circumstances. Across five independent studies, we find that self-control costs can be measured in humans through monetary willingness to pay to avoid temptation and, further, that these costs appear to be sensitive to incentives, stress exposure, and variability in temptation intensity. Our findings may open avenues of research into computational models of self-control that inform psychological, economic, and health policy research.

Abstract

Since Odysseus committed to resisting the Sirens, mechanisms to limit self-control failure have been a central feature of human behavior. Psychologists have long argued that the use of self-control is an effortful process and, more recently, that its failure arises when the cognitive costs of self-control outweigh its perceived benefits. In a similar way, economists have argued that sophisticated choosers can adopt “precommitment strategies” that tie the hands of their future selves in order to reduce these costs. Yet, we still lack an empirical tool to quantify and demonstrate the cost of self-control. Here, we develop and validate an economic decision-making task to quantify the subjective cost of self-control by determining the monetary cost a person is willing to incur in order to eliminate the need for self-control. We find that humans will pay to avoid having to exert self-control in a way that scales with increasing levels of temptation and that these costs appear to be modulated both by motivational incentives and stress exposure. Our psychophysical approach allows us to index moment-to-moment self-control costs at the within-subject level, validating important theoretical work across multiple disciplines and opening avenues of self-control research in healthy and clinical populations.

Data Availability

Anonymized behavioral choice data have been deposited in Open Science Framework (https://osf.io/p5942/).

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