Protocol to study how expectations guide predictive eye movements and information sampling in humans

TL;DR

This paper provides a detailed protocol for using eye-tracking to study how expectations influence visual information sampling in humans.

Contribution

The paper introduces a standardized protocol for measuring predictive eye movements and information sampling during face anticipation and recognition.

Findings

The protocol outlines procedures for setting up and analyzing eye-tracking experiments.

It provides instructions for measuring eye movements in anticipation and recognition tasks.

The method aims to explore how expectations guide information sampling in the visual domain.

Abstract

Investigating eye movements provides a unique tool to explore how expectations influence information sampling in the visual domain. Here, we present a protocol for measuring predictive eye movements during face anticipation as well as fixations and dwell time during face recognition in humans. We describe steps for setting up two eye-tracking experiments. We then detail procedures for the measurement and analysis of eye-tracking data.

For complete details on the use and execution of this protocol, please refer to Garlichs et al.1

•Guide for studying expectation effects on information sampling with eye tracking•Steps for setting up, running, and analyzing predictive eye-tracking experiments•Instructions on measuring eye movements in anticipation and recognition tasks

Guide for studying expectation effects on information sampling with eye tracking

Steps for setting up, running, and analyzing predictive eye-tracking experiments

Instructions on measuring eye movements in anticipation and recognition tasks

Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.

Investigating eye movements provides a unique tool to explore how expectations influence information sampling in the visual domain. Here, we present a protocol for measuring predictive eye movements during face anticipation as well as fixations and dwell time during face recognition in humans. We describe steps for setting up two eye-tracking experiments. We then detail procedures for the measurement and analysis of eye-tracking data.

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