Skip to main content
Log in

Mixed-fleet flying in commercial aviation: a joint cognitive systems perspective

  • Original Article
  • Published:
Cognition, Technology & Work Aims and scope Submit manuscript

Abstract

Previous research investigating work activities and cognition in multi-crew airline flight decks has used a joint cognitive systems approach. However, is this approach suitable when some components—such as pilots—physically shift between differing aircraft, or joint cognitive systems? A current practice within the airline industry, known as mixed-fleet flying (MFF), allows pilots to fly aircraft of slightly differing configurations within the same working roster. The assumption held by aviation authorities is that pilots are permitted to fly in MFF configurations as long as relevant training occurs. Based on a cognitive anthropological study on pilots flying the same aircraft type—with differing flight deck configurations—we demonstrate that there are two different joint cognitive systems at work as each system involves different functional systems. The aim of this paper is to extend certain aspects of the joint cognitive systems approach to enable an analysis of real-world issues like MFF.

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
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Notes

  1. In interaction, the participating components involved can be theorized independently, they are external to each other and are linked by some form of action between them; in transaction, the components of the system cannot be described independently of each other (Dewey and Bentley Dewey and Bentley 1999). In science and engineering, this requires modeling systems with differential equations that do not allow a separation of variables.

  2. Participating pilots were informed of reasons for the investigations and were told that participation was fully voluntary. They signed agreements to participate and a separate release for the use of photographs and video offprints.

References

  • Aircraft Accident Investigation Committee (AAIC) (2014) Summary of Final Report on ATR 72-600 Aircraft QV 301 Accident Investigation. http://www.mpwt.gov.la/attachments/article/880/028.11.2014_Press Release on the final Report Aircraft Accident Investigation—QV 301_English version.pdf. Accessed 23 Feb 2015

  • Bador D, Seering W, Rebentisch E (2007) Measuring the efficiency of commonality implementation: application to commercial aircraft cockpits. Paper presented at the international conference on engineering design, France, Paris

  • Billings C (1997) Aviation Automation: The search for a human-centered approach. Lawrence Erlbaum Associate, New Jersey

    Google Scholar 

  • Christoffersen K, Woods DD (2002) How to make automated systems team players. Adv Hum Perform Cogn Eng Res. doi:10.1016/S1479-3601(02)02003-9

    Google Scholar 

  • Cilliers P (2001) Boundaries, hierarchies and networks in complex systems. Int J Innov Manag. doi:10.1142/S1363919601000312

    Google Scholar 

  • Cilliers P (2007) Making sense of a complex world. In: Aaltonen M (ed) The third lens: Multi-ontology sense-making and strategic decision-making. Ashgate Publishing Limited, England, pp 99–110

    Google Scholar 

  • Clancey WJ, Sierhuis M, Seah C (2009) Workflow agents versus expert systems: problem solving methods in work systems design. Artif Intell Eng Des Anal Manuf. doi:10.1017/S0890060409990059

    Google Scholar 

  • Dewey J, Bentley AF (1999) Knowing and the known. In: Handy R, Hardwood EE (eds) Useful procedures of inquiry. Behavioral Research Council, Great Barrington

    Google Scholar 

  • European Aviation Safety Agency (EASA) (2012). Type certificate data sheet for ATR 42 and ATR 72. (No. EASA.A.084). Retrieved from: http://easa.europa.eu/system/files/dfu/EASA-TCDS-A.084_ATR_42—ATR_72-03-17102012.pdf

  • European Aviation Safety Agency (EASA) (2013) Operational evaluation board report ATR 42/72 flight crew qualifications. (revision 3). Retrieved from: http://easa.europa.eu/system/files/dfu/20130823%20OEB%20ATR-600%20Rev%203.pdf

  • Gibson J (1979) The theory of affordances. In: Gieseking JJ, Mangold W, Katz C, Low S, Saegert S (eds) The people, place, and space reader. Routledge, New York, pp 56–60

    Google Scholar 

  • Greeno J (1994) Gibson’s affordances. Psychol Rev. doi:10.1037/0033-295X.101.2.336

    Google Scholar 

  • Hall AD, Fagen RE (1968) Definition of system. In: Buckley EM (ed) Modern systems research for the behavioural scientist. Aldine Publishing Company, University of Michigan, pp 81–92

    Google Scholar 

  • Harris WC, Hancock PA, Arthur EJ, Caird JK (1995) Performance, workload, and fatigue changes associated with automation. Int J. Aviat Psychol 5:69–185

    Article  Google Scholar 

  • Henriqson E, van Winsen R, Saurin TA, Dekker SWA (2011) How a cockpit calculates its speeds and why errors while doing this are so hard to detect. Cognit Technol Work 13:217–231. doi:10.1007/s10111-010-0161-4

    Article  Google Scholar 

  • Hollnagel E, Woods D (1983) Cognitive systems engineering: new wine in new bottles. Int J. of Man-machine Stud 18:583–600

    Article  Google Scholar 

  • Hollnagel E, Woods D (2005) Joint cognitive systems: foundations of cognitive systems engineering. CRC Press, Florida

    Book  Google Scholar 

  • Hutchins E (1995a) Cognition in the wild. MIT Press, Cambridge

    Google Scholar 

  • Hutchins E (1995b) How a cockpit remembers its speeds. Cognit Sci 19:265–288. doi:10.1207/s15516709cog1903_1

    Article  Google Scholar 

  • Hutchins E (1999) The cognitive consequences of patterns of information flow. Report number: 20000004537. Retrieved from: http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20000004537.pdf

  • Hutchins E (2010) Cognitive ecology. Top Cognit Sci 2:705–715

    Article  Google Scholar 

  • Lakoff G, Johnson M (1999) Philosophy in the flesh: the embodied mind and its challenge to western thought. Basic books, New York

    Google Scholar 

  • Lave J (1988) Cognition in practice: mind, mathematics and culture in everyday life. Cambridge University Press, New York

    Book  Google Scholar 

  • Lave J, Wenger E (1991) Situated learning: Legitimate peripheral participation. Cambridge University Press, New York

    Book  Google Scholar 

  • Longo G, Montévil M (2014) Protention and retention in biological systems. In: Longo G, Montévil M (eds) Perspectives on organisms. Springer, Berlin, pp 99–119

    Chapter  Google Scholar 

  • Luria AR (1973) The working brain: an introduction to neuropsychology. Basic Books, London

    Google Scholar 

  • Masalonis AJ, Duley JA, Parasuraman R (1999) Effects of manual and autopilot control on mental workload and vigilance during simulated general aviation flight. Transp Hum Fact 1:187–200. doi:10.1207/sthf0102_7

    Article  Google Scholar 

  • Mavin TJ, Roth W-M, Soo K, Munro I (2015) Towards evidence-based decision making in aviation: the case of mixed-fleet flying. Aviat Psychol Appl Hum Fact 5:52–61. doi:10.1027/2192-0923/a000069

    Article  Google Scholar 

  • Miller GA (2003) The cognitive revolution: a historical perspective. Trends Cognit Sci 7:141–144

    Article  Google Scholar 

  • Newell A, Shaw JC, Simon HA (1958) Elements of a theory of human problem solving. Psychol Rev 65:151

    Article  Google Scholar 

  • Norman DA (1990) The “problem” of automation: Inappropriate feedback and interaction, not “over-automation”. In: Broadbent DE, Baddeley A, Reason JT (eds) Human factors in hazardous situations. Oxford University Press, Oxford, pp 585–593

    Google Scholar 

  • Norman DA (2002) The design of everyday things. Basic Books, New York

    Google Scholar 

  • Norros L, Salo L (2009) Design of joint systems: a theoretical challenge for cognitive systems engineering. Cognit Technol Work 11:43–56. doi:10.1007/s10111-008-0122-3

    Article  Google Scholar 

  • Roth W-M, Jornet A (2013) Situated cognition. Wiley Interdisip Rev: Cognit Sci 4:463–478. doi:10.1002/wcs.1242

    Article  Google Scholar 

  • Roth W-M, Mavin T, Munro I (2014). How a cockpit forgets speeds (and speed-related events): toward a kinetic description of joint cognitive systems. Cogn Technol Work. 1–21. doi:10.1007/s10111-014-0292-0

  • Sarter NB, Woods DD (1992) Pilot interaction with cockpit automation: operational experiences with the flight management system. Int J Aviat Psychol 2:303–321. doi:10.1207/s15327108ijap0204_5

    Article  Google Scholar 

  • Sarter NB, Woods DD (1994) Pilot interaction with cockpit automation II: an experimental study of pilots’ model and awareness of the flight management system. Int J Aviat Psychol 4:1–28. doi:10.1207/s15327108ijap0401_1

    Article  Google Scholar 

  • Sarter NB, Woods DD (1995) How in the world did we ever get into that mode? Mode error and awareness in supervisory control. Hum Factors: J Hum Factors Ergon Soc 37:5–19

    Article  Google Scholar 

  • Sarter NB, Woods DD (1997) Team play with a powerful and independent agent: operational experiences and automation surprises on the Airbus A-320. Hum Factors: J Hum Factors Ergon Soc 39:553–569

    Article  Google Scholar 

  • Sarter NB, Woods DD (2000) Team play with a powerful and independent agent: a full-mission simulation study. Hum Factors 42:390–402. doi: 10.1518/001872000779698178

    Article  Google Scholar 

  • Sarter NB, Woods DD, Billings CE (1997) Automation surprises. Handb Hum Factors Ergon 2:1926–1943

    Google Scholar 

  • Semrud-Clikeman M, Ellison AT (2009) Child neuropsychology. Springer, Berlin

    Book  Google Scholar 

  • Sherry L, Polson P, Feary M, Palmer E (2002) When does the MCDU interface work well? Paper presented at the international conference on HCI-Aerro, Cambridge, MA

  • Strauss AL (1987) Qualitative analysis for social scientists. Cambridge University Press, New York

    Book  Google Scholar 

  • Suchman LA (1987) Plans and situated actions: the problem of human-machine communication. Cambridge University Press, New York

    Google Scholar 

  • Tarnowski CE, Speyer JJ (1997) Integrating human factors and automation with progress in aircraft design and flight management. In: Soekkha HM (ed) Aviation safety: human factors, systems engineering, flight operations, economics, strategies, management. CRC Press, Boca Raton, pp 169–187

    Google Scholar 

  • Thelen E (1996) A dynamic systems approach to the development of cognition and action. MIT Press, Cambridge

    Google Scholar 

  • Travieso D (2007) Functional systems of perception-action and re-mediation. In: Rosa A, Vaalsiner J (eds) Handbook of socio-cultural psychology. Cambridge University Press, Cambridge, pp 124–139

    Google Scholar 

  • Wiener E (1988) Cockpit automation. In: Wiener E, Nagel D (eds) Human factors in aviation. Academic Press, San Diego, pp 433–462

    Google Scholar 

  • Woods D (1996) Decomposing automation: apparent simplicity, real complexity. In: Parasuraman R, Mouloua M (eds) Automation and human performance: Theory and applications. Mahwah, Lawrence Erlbaum Associates, NJ

    Google Scholar 

  • Woods D, Hollnagel E (2006) Joint cognitive systems: patterns in cognitive systems engineering. CRC Press, Florida

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kassandra Soo.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Soo, K., Mavin, T.J. & Roth, WM. Mixed-fleet flying in commercial aviation: a joint cognitive systems perspective. Cogn Tech Work 18, 449–463 (2016). https://doi.org/10.1007/s10111-016-0381-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10111-016-0381-3

Keywords

Navigation