Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach.

ABSTRACT:

Objectives

Pupil dilation is controlled both by sympathetic and parasympathetic nervous system branches. We hypothesized that the dynamic of pupil size changes under cognitive load with additional false feedback can predict individual behavior along with heart rate variability (HRV) patterns and eye movements reflecting specific adaptability to cognitive stress. To test this, we employed an unsupervised machine learning approach to recognize groups of individuals distinguished by pupil dilation dynamics and then compared their autonomic nervous system (ANS) responses along with time, performance, and self-esteem indicators in cognitive tasks.

Methods

Cohort of 70 participants were exposed to tasks with increasing cognitive load and deception, with measurements of pupillary d

SUBMITTER: Alshanskaia EI 

PROVIDER: S-EPMC11405740 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature