Analysis of goal, feedback and rewards on sustained attention via machine learning.

Journal: Frontiers in behavioral neuroscience
Published Date: Dec 19, 2024

Abstract

INTRODUCTION: Sustaining attention is a notoriously difficult task as shown in a recent experiment where reaction times (RTs) and pupillometry data were recorded from 350 subjects in a 30-min vigilance task. Subjects were also presented with different types of goal, feedback, and reward.

Authors

  • Nethali Fernando
    Department of Mathematics, University of Texas at Arlington, Arlington, TX, United States.
  • Matthew Robison
    Department of Psychology, University of Notre Dame, Notre Dame, IN, United States.
  • Pedro D Maia
    Department of Mathematics, University of Texas at Arlington, Arlington, TX, United States.

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