Skip to main content

Eye Movement Characteristics Research on Pilots of Different Experience Background During Aircraft Cockpit Display Image Visual Search Task

  • Conference paper
  • First Online:
Man–Machine–Environment System Engineering (MMESE 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 456))

Included in the following conference series:

Abstract

The purpose of the study was to find visual search characteristics on cockpit man–machine interface by the pilots with different flight experiences and different ages. Methods Test objects were 44 men; they were divided into three groups according to different aircraft cockpit experiences with large screen display or different age groups. The completely randomized block test was used. The instrument for recording eye movement was adopted in the process of eye-target search. Results Among 14 parameters for eye movement, 13 parameters were statistically significant (P < 0.05). Significant differences existed between groups of different experience background. There were seven indicators showed that the novice group was more than the expert group, the expert pilot group was greater than the mature group. The results of different age groups were as follows: Significant differences existed among three groups of different ages. Eight eye movement indicators showed that the values of 40–45-year-old group were more than that of 25–35-year-old group; the values of 25–35-year-old group were more than that of 35–40-year-old group. Conclusion The novice group was least familiar with screen layout and therefore search target took longer time and more fixation points. The expert pilot group is the most experienced in three groups, but they took more time to search targets than the mature group. The reason might be that “no error” thought forced them to confirm on the same issue repeatedly, resulting that the search efficiency was lower. Data of different age groups showed that the older the ages were the worse eye movement data were. This shows that as the increase of age the eye’s capture and search ability fall. But for some other indicators, 35–40-year-old group was better than that of 25–35-year-old group, indicating that there were interactions between the experienced background and ages because there were more novice pilots in 25–35-year-old group, familiarity of the picture can make up for the lack of physical reaction speed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bellenkes AH, Kramer CD, Kramer AF (1997) Visual scanning and pilot expertise: their role of attentional flexibility and mental model development. Aviat Space Environ Med 68(7):569–579

    Google Scholar 

  2. Schriver AT, Morrow DG, Wichens CD et al (2008) Expertise differences in attention strategies related to pilot decision making. Human Factors 0(6):864–878

    Google Scholar 

  3. Guo X, Xiong D, Xiong Y, Yi L, Ma X (2007) Effects of the display formats on pilots’ cognitive performance with head-up display velocity, height and heading information in fighter. Chin J Aviat Med 18(2):84–90

    Google Scholar 

  4. Sibert JL, Gokturk M, Lavine RA (2000) The reading assistant: eye gaze triggered auditory prompting for reading remediation. In: Proceedings of the Thirteenth Annual ACM Symposium on User Interface Software and Technology. ACM Press, NY, pp 101–107

    Google Scholar 

  5. Hess EH (1972) Pupillometrics. In: Greenfield NS, Sternbach RA (eds) Handbook of psychophysiology. Holt, Richard &Winston, New York, pp 491–531

    Google Scholar 

  6. Marshall S (2000) Method and apparatus for eye tracking and monitoring pupil dilation to evaluate cognitive activity. US Patent 6,090,051 July 2000

    Google Scholar 

  7. Hyönä J, Tommola J, Alaja A-M (1995) Pupil dilation as a measure of processing load in simultaneous interpretation and other language tasks. Q J Exp Psychol 48A:598–612

    Article  Google Scholar 

  8. Kasarskis P,Stehwien J (2001) Comparison on expert and novice scan behaviours during VFR Flight. In: The 11th International Symposium on Aviation Psychology. The Ohio University, Columbus, 1–6

    Google Scholar 

  9. Jacob RJK, Karn KS (2003) Eye tracking in human-computer interaction and usability research: ready to deliver the promises. In: Hyönä J, Radach R, Deubel H (eds) The mind’s eye: cognitive and applied aspects of eye movement research. Elsevier, Amsterdam, pp 573–605

    Chapter  Google Scholar 

  10. Abel LA, Troost BT, Dell’Osso LF (1983) The effects of age on normal saccadic characteristics and the invariability. Vision Res 23:33–37. doi:10.1016/0042-6989(83)90038-x

    Article  Google Scholar 

  11. Ross RG, Olincy A, Harris JG, Radant A, Adler LE, Compagnon N et al (1999) The effects of age on a smooth pursuit tracking task in adults with schizophrenia and normal subjects. Biol Psychiatry 46:383–391. doi:10.1016/s0006-3223(98)00369-2

    Article  Google Scholar 

  12. David J (2007) Age-related group and individual difference in aircraft pilot cognition. Int J Aviat Psychol 17(1)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yanyan Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Wang, Y. et al. (2018). Eye Movement Characteristics Research on Pilots of Different Experience Background During Aircraft Cockpit Display Image Visual Search Task. In: Long, S., Dhillon, B. (eds) Man–Machine–Environment System Engineering. MMESE 2017. Lecture Notes in Electrical Engineering, vol 456. Springer, Singapore. https://doi.org/10.1007/978-981-10-6232-2_11

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-6232-2_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6231-5

  • Online ISBN: 978-981-10-6232-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics