abstract

A temporally quantized distribution of pupil diameters as a new feature for cognitive load classification

Authors:

Wolfgang Fuhl,

Anne Herrmann-Werner,

Kay NieseltAuthors Info & Claims

ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications

Article No.: 33, Pages 1 - 2

https://doi.org/10.1145/3588015.3590116

Published: 30 May 2023 Publication History

Get Access

Abstract

In this paper, we present a new feature that can be used to classify cognitive load based on pupil information. The feature consists of a temporal segmentation of the eye tracking recordings. For each segment of the temporal partition, a probability distribution of pupil size is computed and stored. These probability distributions can then be used to classify the cognitive load. The presented feature significantly improves the classification accuracy of the cognitive load compared to other statistical values obtained from eye tracking data, which represent the state of the art in this field. The applications of determining Cognitive Load from pupil data are numerous and could lead, for example, to pre-warning systems for burnouts.

References

[1]

Jackson Beatty. 1982. Task-evoked pupillary responses, processing load, and the structure of processing resources.Psychological bulletin 91, 2 (1982), 276.

Google Scholar

[2]

Sandra G Hart and Lowell E Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In Advances in psychology. Vol. 52. Elsevier, 139–183.

Google Scholar

[3]

Moritz Kassner, William Patera, and Andreas Bulling. 2014. Pupil: an open source platform for pervasive eye tracking and mobile gaze-based interaction. In Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing: Adjunct publication. 1151–1160.

Digital Library

Google Scholar

[4]

Emmanouil Ktistakis, Vasileios Skaramagkas, Dimitris Manousos, Nikolaos S Tachos, Evanthia Tripoliti, Dimitrios I Fotiadis, and Manolis Tsiknakis. 2022. COLET: A dataset for COgnitive workLoad estimation based on eye-tracking. Computer Methods and Programs in Biomedicine 224 (2022), 106989.

Digital Library

Google Scholar

[5]

Adriana A Zekveld, Sophia E Kramer, and Joost M Festen. 2011. Cognitive load during speech perception in noise: The influence of age, hearing loss, and cognition on the pupil response. Ear and hearing 32, 4 (2011), 498–510.

Google Scholar

Index Terms

A temporally quantized distribution of pupil diameters as a new feature for cognitive load classification

Recommendations

Measuring the task-evoked pupillary response with a remote eye tracker
ETRA '08: Proceedings of the 2008 symposium on Eye tracking research & applications

The pupil-measuring capability of video eye trackers can detect the task-evoked pupillary response: subtle changes in pupil size which indicate cognitive load. We performed several experiments to measure cognitive load using a remote video eye tracker, ...
Shifts in reported gaze position due to changes in pupil size: ground truth and compensation
ETRA '12: Proceedings of the Symposium on Eye Tracking Research and Applications

Camera-based eye trackers are the mainstay of today's eye movement research and countless practical applications of eye tracking. Recently, a significant impact of changes in pupil size on the accuracy of camera-based eye trackers during fixation has ...
Pistol: Pupil Invisible Supportive Tool in the Wild
Abstract
This paper is an in the wild evaluation of the eye tracking tool Pistol. Pistol supports Pupil Invisible projects and other eye trackers (Dikablis, Emke GmbH, Look, Pupil, and many more) in offline mode. For all eye tracking recordings, Pistol is ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications

May 2023

441 pages

ISBN:9798400701504

DOI:10.1145/3588015

Editors:
Enkelejda Kasneci
Technical University Munich, Germany
,
Frederick Shic
University of Washington, USA
,
Mohamed Khamis
University of Glasgow, Scotland

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 May 2023

Check for updates

Author Tags

Qualifiers

Abstract
Research
Refereed limited

Conference

ETRA '23

Sponsor:

ETRA '23: 2023 Symposium on Eye Tracking Research and Applications

May 30 - June 2, 2023

Tubingen, Germany

Acceptance Rates

Overall Acceptance Rate 69 of 137 submissions, 50%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
52
Total Downloads

Downloads (Last 12 months)31
Downloads (Last 6 weeks)1

Reflects downloads up to 01 Oct 2024

Other Metrics

View Author Metrics

Citations

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Abstract

References

Index Terms

Recommendations

Measuring the task-evoked pupillary response with a remote eye tracker

Shifts in reported gaze position due to changes in pupil size: ground truth and compensation

Pistol: Pupil Invisible Supportive Tool in the Wild

Comments

Information

Published In

Sponsors

Publisher

Publication History

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Get Access

Login options

Full Access

View options

PDF

eReader

HTML Format

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations