Raw and aggregated eye-tracking and behavioral data for: "The lie in the eyes: ocular indicators and machine-learning models with a cognitive load paradigm to detect lying"

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Authors: Alice Naomi Preti, Nadia Bolognini
Cited by: 0

Abstract

This repository contains the raw eye-tracking and behavioral data collected in a study investigating several indicators of deception under cognitive load. The dataset includes trial-by-trial measures of ocular variables (e.g., pupil dilation, blink-related information) and behavioral responses recorded during the experimental task. All data have been fully anonymized prior to sharing, and no personally identifiable information is included.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
20 July 2026
Language
EN
Document type
Dataset