» Articles » PMID: 33791686

GazeMetrics: An Open-Source Tool for Measuring the Data Quality of HMD-based Eye Trackers

Overview
Date 2021 Apr 1
PMID 33791686
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

As virtual reality (VR) garners more attention for eye tracking research, knowledge of accuracy and precision of head-mounted display (HMD) based eye trackers becomes increasingly necessary. It is tempting to rely on manufacturer-provided information about the accuracy and precision of an eye tracker. However, unless data is collected under ideal conditions, these values seldom align with on-site metrics. Therefore, best practices dictate that accuracy and precision should be measured and reported for each study. To address this issue, we provide a novel open-source suite for rigorously measuring accuracy and precision for use with a variety of HMD-based eye trackers. This tool is customizable without having to alter the source code, but changes to the code allow for further alteration. The outputs are available in real time and easy to interpret, making eye tracking with VR more approachable for all users.

Citing Articles

Let's get it started: Eye Tracking in VR with the Pupil Labs Eye Tracking Add-On for the HTC Vive.

Josupeit J J Eye Mov Res. 2024; 15(3).

PMID: 39139654 PMC: 11321899. DOI: 10.16910/jemr.15.3.10.


Eye Tracking in Virtual Reality: a Broad Review of Applications and Challenges.

Adhanom I, MacNeilage P, Folmer E Virtual Real. 2023; 27(2):1481-1505.

PMID: 37621305 PMC: 10449001. DOI: 10.1007/s10055-022-00738-z.


Eye Tracking in Virtual Reality: Vive Pro Eye Spatial Accuracy, Precision, and Calibration Reliability.

Schuetz I, Fiehler K J Eye Mov Res. 2023; 15(3).

PMID: 37125009 PMC: 10136368. DOI: 10.16910/jemr.15.3.3.


vexptoolbox: A software toolbox for human behavior studies using the Vizard virtual reality platform.

Schuetz I, Karimpur H, Fiehler K Behav Res Methods. 2022; 55(2):570-582.

PMID: 35322350 PMC: 10027796. DOI: 10.3758/s13428-022-01831-6.


ARETT: Augmented Reality Eye Tracking Toolkit for Head Mounted Displays.

Kapp S, Barz M, Mukhametov S, Sonntag D, Kuhn J Sensors (Basel). 2021; 21(6).

PMID: 33806863 PMC: 8004990. DOI: 10.3390/s21062234.


References
1.
Gibaldi A, Vanegas M, Bex P, Maiello G . Evaluation of the Tobii EyeX Eye tracking controller and Matlab toolkit for research. Behav Res Methods. 2016; 49(3):923-946. PMC: 5429393. DOI: 10.3758/s13428-016-0762-9. View

2.
Barabas J, Goldstein R, Apfelbaum H, Woods R, Giorgi R, Peli E . Tracking the line of primary gaze in a walking simulator: modeling and calibration. Behav Res Methods Instrum Comput. 2005; 36(4):757-70. DOI: 10.3758/bf03206556. View

3.
Nystrom M, Andersson R, Holmqvist K, van de Weijer J . The influence of calibration method and eye physiology on eyetracking data quality. Behav Res Methods. 2012; 45(1):272-88. DOI: 10.3758/s13428-012-0247-4. View

4.
Niehorster D, Cornelissen T, Holmqvist K, Hooge I, Hessels R . What to expect from your remote eye-tracker when participants are unrestrained. Behav Res Methods. 2017; 50(1):213-227. PMC: 5809535. DOI: 10.3758/s13428-017-0863-0. View

5.
Dalrymple K, Manner M, Harmelink K, Teska E, Elison J . An Examination of Recording Accuracy and Precision From Eye Tracking Data From Toddlerhood to Adulthood. Front Psychol. 2018; 9:803. PMC: 5974590. DOI: 10.3389/fpsyg.2018.00803. View