Embodied decision biases: individually stable across different tasks?

Exp Brain Res. 2023 Apr;241(4):1053-1064. doi: 10.1007/s00221-023-06591-z. Epub 2023 Mar 13.

Abstract

In everyday life, action and decision-making often run in parallel. Action-based models argue that action and decision-making strongly interact and, more specifically, that action can bias decision-making. This embodied decision bias is thought to originate from changes in motor costs and/or cognitive crosstalk. Recent research confirmed embodied decision biases for different tasks including walking and manual movements. Yet, whether such biases generalize within individuals across different tasks remains to be determined. To test this, we used two different decision-making tasks that have independently been shown to reliably produce embodied decision biases. In a within-participant design, participants performed two tasks in a counterbalanced fashion: (i) a walking paradigm for which it is known that motor costs systematically influence reward decisions, and (ii) a manual movement task in which motor costs and cognitive crosstalk have been shown to impact reward decisions. In both tasks, we successfully replicated the predicted embodied decision biases. However, there was no evidence that the strength of the biases correlated between tasks. Hence, our findings do not confirm that embodied decision biases transfer between tasks. Future research is needed to examine whether this lack of transfer may be due to different causes underlying the impact of motor costs on decisions and the impact of cognitive crosstalk or task-specific differences.

Keywords: Bias; Cognitive crosstalk; Decision-making; Embodied decisions; Interindividual differences; Motor control; Motor cost.

MeSH terms

  • Bias
  • Decision Making*
  • Humans
  • Movement*
  • Reward
  • Walking