The expression of decision and learning variables in movement patterns related to decision actions
Ida Selbing, Joshua Skewes

TL;DR
This study explores how decision-making and learning processes are reflected in movement patterns during and after a choice is made.
Contribution
The study introduces a novel approach to analyzing decision-making and learning variables through mouse-tracking movements in a probabilistic task.
Findings
Decision variables like confidence affect movement timing, pausing, and deviation during decisions.
Learning variables influence movement timing and speed after decisions are made.
Mouse-tracking reveals insights into decision-making and learning processes.
Abstract
Decisions are not necessarily easy to separate into a planning and an execution phase and the decision-making process can often be reflected in the movement associated with the decision. Here, we used formalized definitions of concepts relevant in decision-making and learning to explore if and how these concepts correlate with decision-related movement paths, both during and after a choice is made. To this end, we let 120 participants (46 males, mean age = 24.5 years) undergo a repeated probabilistic two-choice task with changing probabilities where we used mouse-tracking, a simple non-invasive technique, to study the movements related to decisions. The decisions of the participants were modelled using Bayesian inference which enabled the computation of variables related to decision-making and learning. Analyses of the movement during the decision showed effects of relevant decision…
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Taxonomy
TopicsChild and Animal Learning Development · Cognitive Science and Mapping · Behavioral and Psychological Studies
