Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking

William Andrew Blakey; Stamos Katsigiannis; Navid Hajimirza; Naeem Ramzan

doi:10.2352/ISSN.2470-1173.2020.11.HVEI-129

Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking

William Andrew Blakey, Stamos Katsigiannis^*, Navid Hajimirza, Naeem Ramzan

^*Corresponding author for this work

School of Computing, Engineering and Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

92 Downloads (Pure)

Abstract

This work examines the different terminology used for defining gaze tracking technology and explores the different methodologies used for describing their respective accuracy. Through a comparative study of different gaze tracking technologies, such as infrared and webcam-based, and utilising a variety of accuracy metrics, this work shows how the reported accuracy can be misleading. The lack of intersection points between the gaze vectors of different eyes (also known as convergence points) in definitions has a huge impact on accuracy measures and directly impacts the robustness of any accuracy measuring methodology. Different accuracy metrics and tracking definitions have been collected and tabulated to more formally demonstrate the divide in definitions.

Original language	English
Title of host publication	IS&T Electronic Imaging 2020
Subtitle of host publication	Human Vision and Electronic Imaging
Publisher	Society for Imaging Science and Technology
Number of pages	10
DOIs	https://doi.org/10.2352/ISSN.2470-1173.2020.11.HVEI-129
Publication status	Published - 26 Jan 2020
Event	Human Vision and Electronic Imaging - Hyatt Regency San Francisco Airport, Burlingame, United States Duration: 26 Jan 2020 → 30 Jan 2020 http://www.imaging.org/site/IST/IST/Conferences/EI/EI_2020/Conference/C_HVEI.aspx

Publication series

Name	Proceedings
Publisher	Ingenta
ISSN (Print)	2161-8798
ISSN (Electronic)	2168-3204

Conference

Conference	Human Vision and Electronic Imaging
Abbreviated title	HVEI
Country/Territory	United States
City	Burlingame
Period	26/01/20 → 30/01/20
Internet address	http://www.imaging.org/site/IST/IST/Conferences/EI/EI_2020/Conference/C_HVEI.aspx

Access to Document

10.2352/ISSN.2470-1173.2020.11.HVEI-129Licence: CC BY

2019 11 19 Blakey et al Gaze acceptedAccepted author manuscript, 490 KBLicence: CC BY

Cite this

@inproceedings{f9dec2df17d54074856f5a6c62c4de03,

title = "Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking",

abstract = "This work examines the different terminology used for defining gaze tracking technology and explores the different methodologies used for describing their respective accuracy. Through a comparative study of different gaze tracking technologies, such as infrared and webcam-based, and utilising a variety of accuracy metrics, this work shows how the reported accuracy can be misleading. The lack of intersection points between the gaze vectors of different eyes (also known as convergence points) in definitions has a huge impact on accuracy measures and directly impacts the robustness of any accuracy measuring methodology. Different accuracy metrics and tracking definitions have been collected and tabulated to more formally demonstrate the divide in definitions.",

author = "Blakey, {William Andrew} and Stamos Katsigiannis and Navid Hajimirza and Naeem Ramzan",

year = "2020",

month = jan,

day = "26",

doi = "10.2352/ISSN.2470-1173.2020.11.HVEI-129",

language = "English",

series = "Proceedings",

publisher = "Society for Imaging Science and Technology",

booktitle = "IS&T Electronic Imaging 2020",

address = "United States",

note = "Human Vision and Electronic Imaging, HVEI ; Conference date: 26-01-2020 Through 30-01-2020",

url = "http://www.imaging.org/site/IST/IST/Conferences/EI/EI_2020/Conference/C_HVEI.aspx",

}

Blakey, WA, Katsigiannis, S, Hajimirza, N & Ramzan, N 2020, Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking. in IS&T Electronic Imaging 2020: Human Vision and Electronic Imaging., 129, Proceedings, Society for Imaging Science and Technology, Human Vision and Electronic Imaging, Burlingame, California, United States, 26/01/20. https://doi.org/10.2352/ISSN.2470-1173.2020.11.HVEI-129

Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking. / Blakey, William Andrew; Katsigiannis, Stamos; Hajimirza, Navid et al.
IS&T Electronic Imaging 2020: Human Vision and Electronic Imaging. Society for Imaging Science and Technology, 2020. 129 (Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking

AU - Blakey, William Andrew

AU - Katsigiannis, Stamos

AU - Hajimirza, Navid

AU - Ramzan, Naeem

PY - 2020/1/26

Y1 - 2020/1/26

N2 - This work examines the different terminology used for defining gaze tracking technology and explores the different methodologies used for describing their respective accuracy. Through a comparative study of different gaze tracking technologies, such as infrared and webcam-based, and utilising a variety of accuracy metrics, this work shows how the reported accuracy can be misleading. The lack of intersection points between the gaze vectors of different eyes (also known as convergence points) in definitions has a huge impact on accuracy measures and directly impacts the robustness of any accuracy measuring methodology. Different accuracy metrics and tracking definitions have been collected and tabulated to more formally demonstrate the divide in definitions.

AB - This work examines the different terminology used for defining gaze tracking technology and explores the different methodologies used for describing their respective accuracy. Through a comparative study of different gaze tracking technologies, such as infrared and webcam-based, and utilising a variety of accuracy metrics, this work shows how the reported accuracy can be misleading. The lack of intersection points between the gaze vectors of different eyes (also known as convergence points) in definitions has a huge impact on accuracy measures and directly impacts the robustness of any accuracy measuring methodology. Different accuracy metrics and tracking definitions have been collected and tabulated to more formally demonstrate the divide in definitions.

U2 - 10.2352/ISSN.2470-1173.2020.11.HVEI-129

DO - 10.2352/ISSN.2470-1173.2020.11.HVEI-129

M3 - Conference contribution

T3 - Proceedings

BT - IS&T Electronic Imaging 2020

PB - Society for Imaging Science and Technology

T2 - Human Vision and Electronic Imaging

Y2 - 26 January 2020 through 30 January 2020

ER -

Defining gaze tracking metrics by observing a growing divide between 2D and 3D tracking

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this