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Mental Workload Classification by Eye Movements in Visual Search Tasks

  • Liping Pang
  • , Yurong Fan
  • , Ye Deng
  • , Xin Wang
  • , Tianbo Wang
  • Beihang University
  • China Institute of Marine Technology & Economy
  • Shenyang Aerospace University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper presents a method to objectively evaluate mental workload by analyzing the changes of eye movements characteristics in different visual search tasks. Eye movements data were collected by the eye tracking device called Eye Tracking Core+ while subjects were performing four different visual search tasks produced by NASA's Multi-Attribute Task Battery (MATB) on the screen of computer. By varying the difficulty of visual search tasks, the eye movements were measured to examine whether they could be used to classify the mental workload. As a result, the five indexes (Saccades Amplitude, Saccades Velocity, Fixation Duration, Blink Duration and Pupil Diameter) showed significant differences under low and high workload of visual search tasks. Moreover, with the increase of task workload, Saccades Amplitude, Saccades Velocity, and Blink Duration decreased significantly, while Fixation Duration and Pupil Diameter increased gradually.

源语言英语
主期刊名Proceedings - 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2020
编辑Qiang Zheng, Xiaopeng Zheng, Xiangfu Zhao, Weiqing Yan, Nan Zhang, Lipo Wang
出版商Institute of Electrical and Electronics Engineers Inc.
29-33
页数5
ISBN(电子版)9780738105451
DOI
出版状态已出版 - 17 10月 2020
活动13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2020 - Virtual, Chengdu, 中国
期限: 17 10月 202019 10月 2020

出版系列

姓名Proceedings - 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2020

会议

会议13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2020
国家/地区中国
Virtual, Chengdu
时期17/10/2019/10/20

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