Advertisement

Eye Gaze Orientation and Pupil Size Variation on Time-Series Vigilance Task

  • Deqian ZhangEmail author
  • Wenjiao Cheng
  • Hezhi Yang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 576)

Abstract

Monitoring work performance declined has became need solution of important problem, and eye gaze orientation and pupil size related Monitoring task performance also worth to explore, to prevent the security monitoring personnel’s fatigue and performance decline. This research in simulating monitoring task based on Machworth’s Clock Test use the eye tracker to measure the attention direction and pupil size of the subject, and subjective evaluation of fatigue and attention. The results show monitoring work performance declined with the time-series on. Pupil size relates to fatigue and eye gaze orientation relates attention. It is discussed to evaluate the attention by controlling eye gaze orientation and fatigue to enhance monitoring performances.

Keywords

Vigilance performance Hit ratios Reaction time Fatigue Attention Eye gaze orientation Pupil size Monitor 

Notes

Acknowledgements

We thank the students and control subjects for their participation. The skillful work by monitoring expert Mr. Deqian Zhang is gratefully acknowledged. This study is financed from the National Natural Science Foundation of China (No. 31260238), the regional agreement on psycho-training and clinical research in Jinggangshan University, Jian City project.

Compliance with Ethical Standards

The study was approved by the Logistics Department for Civilian Ethics Committee of Jinggangshan University.

All subjects who participated in the experiment were provided with and signed an informed consent form.

All relevant ethical safeguards have been met with regard to subject protection.

References

  1. 1.
    Montague E et al (2011) Modeling eye gaze patterns in clinician-patient interaction with lag sequential analysis. Hum Factors 53(5):502–516CrossRefGoogle Scholar
  2. 2.
    Thackray RI, Touchstone RM, Bailey JP (1978) Comparison of the vigilance performance of men and women using a simulated radar task. Aviat Space Environ Med 49(10):1215–1218Google Scholar
  3. 3.
    Ramirez-Moreno JM et al (2019) Health-related quality of life and fatigue after transient ischemic attack and minor stroke. J Stroke Cerebrovasc Dis 28(2):276–284CrossRefGoogle Scholar
  4. 4.
    Geden M, Staicu AM, Feng J (2018) Reduced target facilitation and increased distractor suppression during mind wandering. Exp Psychol 65(6):345–352CrossRefGoogle Scholar
  5. 5.
    Zhang, DQ, Chen WJ, Yang HZ (2017) Attention state related EEG spectrum and pupil size in vigilance task. In: The 2nd international conference on mechanical control and automation (ICMCA 2017), ISBN: 978-1-60595-460-8: 231–240Google Scholar
  6. 6.
    Zhang D, Cheng W, Yang H (2018) Predict the performance of visual surveillance by EEG spectral band advantage activity: modeling-based occipital alpha waves advantage activity. In: Long S, Dhillon B (eds) Man–machine–environment system engineering. MMESE 2017. Lecture Notes in Electrical Engineering, vol 456. Springer, SingaporeGoogle Scholar
  7. 7.
    Zhang D, Cheng W, Yang H (2019) Evaluation of workload, arousal, fatigue, and attention on time-series vigilance task. In: Long S, Dhillon B (eds) Man-machine-environment system engineering. MMESE 2018. Lecture Notes in Electrical Engineering, vol 527. Springer, Singapore, pp 65–69Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Psychology DepartmentJinggangshan UniversityJianChina

Personalised recommendations