A Machine Learning based Eye Tracking Framework to Detect Zoom Fatigue

Anjuli Patel, Paul Stynes, Anu Sahni, David Mothersill, Pramod Pathak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Zoom Fatigue is a form of mental fatigue that occurs in online users with increased use of video conferencing. Mental fatigue can be detected using eye movements. However, detecting eye movements in online users is a challenge. This research proposes a Machine Learning based Eye Tracking Framework (MLETF) to detect zoom fatigue in online users by analysing the data collected by an eye tracker device and other influencing variables such as sleepiness and personality. An experiment was conducted with 31 online users wearing an eye tracker device while watching a lecture on Mobile Application Development. The online users were given an exam followed by a questionnaire. The first exam was based on the content of the video. The online users were then given a personality questionnaire. The results of the exam and the personality test were combined and used as an input to five machine learning algorithms namely, SVM, KNN, Decision Tree, Logistic Regression and Ada-Boost. Results of the five models are presented in this paper based on a confusion matrix. Results show promise for Ada-Boost for detecting Zoom fatigue in online users with an accuracy of 86%. This research demonstrates the feasibility of applying an eye-tracker device to identify zoom fatigue with online users of video conferencing.

Original languageEnglish
Title of host publicationProceedings of the 14th International Conference on Computer Supported Education - Volume 2, CSEDU 2022
EditorsMutlu Cukurova, Nikol Rummel, Denis Gillet, Bruce McLaren, James Uhomoibhi
PublisherScience and Technology Publications, Lda
Pages187-195
Number of pages9
ISBN (Electronic)9789897585623
DOIs
Publication statusPublished - 2022
Event14th International Conference on Computer Supported Education, CSEDU 2022 - Virtual, Online
Duration: 22 Apr 202224 Apr 2022

Publication series

NameInternational Conference on Computer Supported Education, CSEDU - Proceedings
Volume2
ISSN (Electronic)2184-5026

Conference

Conference14th International Conference on Computer Supported Education, CSEDU 2022
CityVirtual, Online
Period22/04/2224/04/22

Keywords

  • Ada-Boost
  • Decision Tree
  • Eye Tracker
  • KNN
  • Logistic Regression
  • Machine Learning
  • SVM
  • Zoom Fatigue

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