Skip to main content
Log in

Attention allocation in pilots based on climbing and circling mission behavior

  • Original Article
  • Published:
Psychological Research Aims and scope Submit manuscript

Abstract

Objective

Exploration of changes in eye movement at different flight conditions can enrich scholarly understanding of situation awareness (SA) and inform new scanning behavior training techniques for efficient and effective pilot education.

Background

The SA requirements for pilots vary from mission to mission. Eye tracking is often used to analyze various attention allocation and SA acquisition processes at work in different missions.

Methods

Pilot eye movements were measured during a climbing task and circling task using a cockpit-based simulator.

Results

Results of situation awareness rating technique (SART) tests show that there are significant differences between attention processes during climbing versus circling flight tasks. Fixation frequency during climbing is lower than in the circling task. Additionally, saccade frequency and average fixation time in the climbing task are markedly higher than those in the circling task. Wilcoxon test results show that the pilot has a higher fixation count and fixation time during the circling phase in out-view (OV) areas of interest (AOI) than during the climbing phase. Notably, the attention probability is higher in climbing task than in circling task when the current area of fixation (AOF) is in the head-up display (HUD) AOI and the next fixation area is in the instrumentation panel left (IPL); when the current AOF is in the out-view right (OVR) and the next AOF is HUD, the attention probability is higher in climbing task than in circling task; when the current fixation is in the IPL and the next fixation probability is to the out-view left (OVL), the attention probability is higher in task climbing task than in circling task. In terms of the Markov stationary distribution, the Wilcoxon test shows that, when IPL AOI is the area of the maximum probability of fixation in both tasks, the attention probability of HUD AOI and instrumentation panel right (IPR) is higher in climbing task than in circling task.

Conclusion

Circling tasks require efficient eye movement patterns accompanied by strict attention distribution, which yields high SA level and flight performance when performed properly.

Application

This paper summarizes the attention characteristics at different flight phases and various requirements of different tasks according to pilot eye movement tracking results. Similar activities, as routine training, can enhance the efficiency of a novice pilot’s attention distribution.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Adams, M. J., Tenney, Y. J., & Pew, R. W. (1995). Situation awareness and the cognitive management of complex systems. Human Factors, 37(1), 85–104.

    Article  Google Scholar 

  • Alliger, G. M., Tannenbaum, S. I., Bennett, W., Jr., Traver, H., & Shotland, A. (1997). A meta-analysis of the relations among training criteria. Personnel Psychology, 50(2), 341–358.

    Article  Google Scholar 

  • de Voogt, A., & van Doorn, R. R. A. (2007). The paradox of helicopter emergency training. International Journal of Aviation Psychology, 17, 265–274.

    Article  Google Scholar 

  • Bellenkes, A. H., Wickens, C. D., & Kramer, A. F. (1997). Visual scanning and pilot expertise: the role of attentional flexibility and mental model development. Aviation, Space, and Environmental Medicine, 68(7), 569–579.

    PubMed  Google Scholar 

  • Bell, H. H., & Lyon, D. R. (2000). Using observer ratings to assess situation awareness (No. AFRL-RH-AZ-BC-2000–0001). Air force research lab mesa az warfighter readiness research division.

  • Casner, S. M., Geven, R. W., & Williams, K. T. (2013). The effectiveness of airline pilot training for abnormal events. Human Factors, 55(3), 477–485.

    Article  Google Scholar 

  • Dijk, H. V., Merwe, K. V. D., & Zon, R. (2011). A coherent impression of the pilots' situation awareness: studying relevant human factors tools. International Journal of Aviation Psychology, 21(4), 343–356.

    Article  Google Scholar 

  • Doane, S. M., Woo Sohn, Y., & Jodlowski, M. T. (2004). Pilot ability to anticipate the consequences of flight actions as a function of expertise. Human Factors, 46(1), 92–103.

    Article  Google Scholar 

  • Emilien, A., Vimont, U., Cani, M., Poulin, P., & Benes, B. (2015). WorldBrush: Interactive example-based synthesis of procedural virtual worlds. ACM Transactions on Graphics, 34(4),11.

    Article  Google Scholar 

  • Endsley, M. R. (1995a). Measurement of situation awareness in dynamic systems. Human Factors, 37(1), 65–84.

    Article  Google Scholar 

  • Endsley, M. R. (1995b). Toward a theory of situation awareness in dynamic systems. Human Factors, 37(1), 32–64.

    Article  Google Scholar 

  • Endsley, M. R. (1995c). A taxonomy of situation awareness errors. Human Factors in Aviation Operations, 3(2), 287–292.

    Google Scholar 

  • Endsley, M. R. (2000). Errors in situation assessment: Implications for system design. International Workshop on Human Error & System Design & Management.

  • Endsley, M. R., & Garland, D. J. (2000). Pilot situation awareness training in general aviation. Human Factors & Ergonomics Society Annual Meeting Proceedings, 44(11), 357–360.

    Article  Google Scholar 

  • Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102(2), 211.

    Article  Google Scholar 

  • Feng, C., Wanyan, X., Liu, S., Zhuang, D., Wu, X. (2018). Dynamic prediction model of situation awareness in flight simulation. In D. Harris (Ed.) International Conference on Engineering Psychology and Cognitive Ergonomics (pp. 115–126). Springer: Cham.

    Chapter  Google Scholar 

  • Glaholt, M. G. (2014). Eye tracking in the cockpit: a review of the relationships between eye movements and the aviators cognitive state (No. DRDC-RDDC-2014-R153). Defence Research and Development Toronto (Canada).

  • Guo, Z., Chen, C. S., Chen, Y. Q., Wang, Y. H., & Tang, Y. H. (2009). Research on shift model of driver's visual attention based on markov process. Journal of Highway and Transportation Research and Development, 23(12), 116–119.

    Google Scholar 

  • Guznov, S. Y. (2008). Visual search training techniques in a uav simulator environment: pilots' performance, workload, and stress. Dissertations & Theses—Gradworks.

  • Hauland, G. (2008). Measuring individual and team situation awareness during planning tasks in training of en route air traffic control. The International Journal of Aviation Psychology, 18(3), 290–304.

    Article  Google Scholar 

  • Hayashi, M. (2003, October). Hidden markov models to identify pilot instrument scanning and attention patterns. In SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme-System Security and Assurance (Cat. No. 03CH37483) (Vol. 3, pp. 2889–2896). IEEE.

  • Jones, D. G., & Endsley, M. R. (1996). Sources of situation awareness errors in aviation. Aviat. Space Environ. MD., 67(6), 507–512.

    Google Scholar 

  • Kasarskis, P., Stehwien, J., Hickox, J., Aretz, A., & Wickens, C. (2001). Comparison of expert and novice scan behaviors during VFR flight. In Proceedings of the 11th international symposium on aviation psychology (Vol. 6).

  • Kilingaru, K., Tweedale, J. W., Thatcher, S., & Jain, L. C. (2013). Monitoring pilot “situation awareness”. Journal of Intelligent & Fuzzy Systems, 24(3), 457–466.

    Article  Google Scholar 

  • Liu, Z., Yuan, X. G., & Liu, W. (2006). Analysis on eye movement indices based on simulated flight task. J. Safety Sci. China, 16(2), 48–51.

    Google Scholar 

  • Li, W. C. , Chiu, F. C. , Kuo, Y. S. , & Wu, K. J. (2013). The investigation of visual attention and workload by experts and novices in the cockpit. In Proceedings of the 10th international conference on Engineering Psychology and Cognitive Ergonomics: applications and services—Volume Part II. Springer-Verlag.

  • Liu, S., Wanyan, X., & Zhuang, D. (2014). Modeling the situation awareness by the analysis of cognitive process. Bio-Medical Materials and Engineering, 24(6), 2311.

    Article  Google Scholar 

  • Liu, Z. F., & Su, H. (2016). Exploring the individual and task difficulty difference of situation awareness in aviation working environment: the advantages of eye tracking method. Chinese Journal of Applied Psychology., 22(1), 12–25.

    Google Scholar 

  • Moore, K., & Gugerty, L. (2010, September). Development of a novel measure of situation awareness: The case for eye movement analysis. In Proceedings of the human factors and ergonomics society annual meeting (Vol. 54, No. 19, pp. 1650–1654). Sage CA: Los Angeles, CA: SAGE Publications.

  • Merk, R. J., & Roessingh, J. J. M. (2013). An Evaluation of cognitive models for surprise and situation awareness in a flight simulator with fighter pilots. Aviation Psychology and Applied Human Factors, 4(4), 2014.

    Google Scholar 

  • Muehlethaler, C. M., & Knecht, C. P. (2016). Situation awareness training for general aviation pilots using eye tracking. IFAC-PapersOnLine, 49(19), 66–71.

    Article  Google Scholar 

  • Nataša V. D., & Missoni, E. (2005). Physiological parameters and trace elements before and after aerobatic flight. In E. Donaldson & M. Krzysztof (Eds.), 53 International Congress of Aviation & Space Medicine (pp. 45). Warsaw, Poland: ICASM.

    Google Scholar 

  • Ottati, W. L., Hickox, J. C., & Richter, J. (1999). Eye scan patterns of experienced and novice pilots during visual flight rules (vfr) navigation. Human Factors & Ergonomics Society Annual Meeting Proceedings, 43(1), 66–70.

    Article  Google Scholar 

  • Lefrancois, O., Matton, N., Gourinat, Y., Peysakhovich, V., & Causse, M. (2016) The role of Pilots' monitoring strategies in flight performance. In EAAP32, European Association for Aviation Psychology Conference, Sep 2016, Cascais, Portugal. ⟨hal-01405262⟩

  • Peng, Z. (2012). The safety analysis of flight landing based on Time Petri Net. In Reliability & Maintainability Symposium.

  • Peysakhovich, V., Lefrançois, O., Dehais, F., & Causse, M. (2018). The neuroergonomics of aircraft cockpits: the four stages of eye-tracking integration to enhance flight safety. Safety, 4(1), 8.

    Article  Google Scholar 

  • Rasmussen, J. (2012). Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Transactions on Systems Man & Cybernetics SMC-13, 3, 257–266.

    Google Scholar 

  • Ratwani, R., & Trafton, J. G. (2010). An eye movement analysis of the efect of interruption modality on primary task resumption. Human Factors, 52(3), 370–380.

    Article  Google Scholar 

  • Ratwani, R. M., McCurry, J. M., & Trafton, J. G. (2010). Single operator, multiple robots: An eye movement based theoretic model of operator situation awareness. In Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction (HRI ’10) (pp. 235–242). IEEE Press.

  • Sadasivan, S., Greenstein, J. S., Gramopadhye, A. K., & Duchowski, A. T. (2005). Use of eye movements as feedforward training for a synthetic aircraft inspection task. In Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 141–149). ACM.

  • Salmon, P., Stanton, N., Walker, G., & Green, D. (2006). Situation awareness measurement: a review of applicability for C4i environments. Applied Ergonomics, 37(2), 225–238.

    Article  Google Scholar 

  • Schnell, T., & Merchant, S. (2001). Assessing pilot performance in flight decks equipped with synthetic vision information systems. Final Report, Rockwell Collins, Cedar Rapids, Iowa: Seine, France.

    Google Scholar 

  • Schriver, A. T., Morrow, D. G., Wickens, C. D., & Talleur, D. A. (2008). Expertise differences in attentional strategies related to pilot decision making. Human Factors, 50(6), 864–878.

    Article  Google Scholar 

  • Salmon, P. M. (2008). Distributed situation awareness: Advances in theory, measurement and application to team work (Doctoral dissertation, Brunel University School of Engineering and Design PhD Theses).

  • Soliman, A. M., & Mathna, E. K. (2009). Metacognitive strategy training improves driving situation awareness. Social Behavior and Personality, 37(9), 1161–1170.

    Article  Google Scholar 

  • Takahashi, N., & Nakayama, M. (2013). Chronological prediction of certainty in recall tests using markov models of eye movements. In Proceedings of BIOTECHNO 2013: The Fifth International Conference on Biometrics, Biocomputational Systems and Biotechnologies (pp. 55–60).

  • Taylor, R.M., 1990. Situational Awareness Rating Technique (SART): the development of a tool for aircrew systems design. In: Situational Awareness in Aerospace Operations. Neuilly Sur-seine. France, (3), 1–17.

  • Van De Merwe, K., Van Dijk, H., & Zon, R. (2012). Eye movements as an indicator of situation awareness in a flight simulator experiment. The International Journal of Aviation Psychology, 22(1), 78–95.

    Article  Google Scholar 

  • Wickens, C. D. (1999). Cognitive factors in aviation. In F. Durso (Ed.) Handbook of applied cognition (pp. 247–282). New York: Wiley.

    Google Scholar 

  • Wickens, C. D. (2002). Situation awareness and workload in aviation. Current Directions in Psychological Science, 11(4), 128–133.

    Article  Google Scholar 

  • Xiong, W., Wang, Y., Zhou, Q., Liu, Z., & Zhang, X. (2016, July). The research of eye movement behavior of expert and novice in flight simulation of landing. In International conference on engineering psychology and cognitive ergonomics (pp. 485–493). Springer, Cham.

  • Yang, C., Liu, Z., Zhou, Q., Xie, F., & Zhou, S. (2014, June). Analysis on eye movement indexes based on simulated flight task. In International conference on engineering psychology and cognitive ergonomics (pp. 419–427). Springer, Cham.

  • Yu, C. S., Wang, E. M. Y., Li, W. C., & Braithwaite, G. (2014). Pilots’ visual scan patterns and situation awareness in flight operations. Aviation, Space, and Environmental Medicine, 85(7), 708–714.

    Article  Google Scholar 

  • Yuan, W., (2008). Experimental study on dynamic visual characteristics of automobile drivers in urban road environment.(Doctoral dissertation, University of Chang’an).

  • Zhang, Y. A. (2001). Discussion on markov model and its application. Journal of Shenyang University (Natural Science Edition)., 13(2), 44–46.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xuqun You.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lu, T., Lou, Z., Shao, F. et al. Attention allocation in pilots based on climbing and circling mission behavior. Psychological Research 85, 1136–1145 (2021). https://doi.org/10.1007/s00426-020-01324-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00426-020-01324-1

Navigation