Computational mechanisms underlying the dynamics of physical and cognitive fatigue.

Cognition

Centre for Human Brain Health, School of Psychology, University of Birmingham, United Kingdom; Institute for Mental Health, School of Psychology, University of Birmingham, United Kingdom; Department of Experimental Psychology, University of Oxford, United Kingdom; Christ Church, University of Oxford, United Kingdom. Electronic address:

Published: November 2023

AI Article Synopsis

  • The willingness to exert effort for rewards leads to fatigue, which can reduce motivation after both physical and cognitive tasks.
  • The study measured momentary fatigue ratings in participants during tasks that involved either physical (grip-force) or cognitive (mental arithmetic) effort.
  • Findings reveal that fatigue fluctuates with the amount of effort exerted and affects decision-making; errors in cognitive tasks specifically increase fatigue levels.

Article Abstract

The willingness to exert effort for reward is essential but comes at the cost of fatigue. Theories suggest fatigue increases after both physical and cognitive exertion, subsequently reducing the motivation to exert effort. Yet a mechanistic understanding of how this happens on a moment-to-moment basis, and whether mechanisms are common to both mental and physical effort, is lacking. In two studies, participants reported momentary (trial-by-trial) ratings of fatigue during an effort-based decision-making task requiring either physical (grip-force) or cognitive (mental arithmetic) effort. Using a novel computational model, we show that fatigue fluctuates from trial-to-trial as a function of exerted effort and predicts subsequent choices. This mechanism was shared across the domains. Selective to the cognitive domain, committing errors also induced momentary increases in feelings of fatigue. These findings provide insight into the computations underlying the influence of effortful exertion on fatigue and motivation, in both physical and cognitive domains.

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Source
http://dx.doi.org/10.1016/j.cognition.2023.105603DOI Listing

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