Digest — A4: Automation's human costs

Companion to A4-automation-human-costs.md (11,300 words; roughly a third is verbatim primary-source quotation with string-match verification).


Findings

The warnings were early, specific, and structurally correct. Wiener & Curry’s NASA TM-81206 (June 1980) named every problem the industry spent forty years re-discovering: skill decay (“The use of automation will probably result in a decrease in the skill level for well-learned manual tasks”), monitoring failure (“man is a poor monitor”), alarm mistrust (“the boy who cried wolf”), and the allocation question itself — “It is highly questionable whether total system safety is always enhanced by allocating functions to automatic devices rather than human operators, and there is some reason to believe that flight-deck automation may have already passed the point of optimality.” All verified verbatim. Written before the glass-cockpit fleet existed.

The mechanism is workload redistribution, not reduction. Wiener’s 1989 field study (NASA CR-177528; two US carriers, B757, 201 volunteers, 166/133 responses across two phases) established the paradox verbatim: “workload seemed to be reduced when it was not heavy or critical, and may be increased by automation when it was already heavy or critical.” Its operational corollary — about half of pilots reported that when workload increased they turned the automatic features off — and Curry’s (1985) call for “turn it off training” are the earliest clean statement of the gap FAA SAFO 13002 addressed in 2013.

Two attribution corrections the report must make.

  1. The famous triad — “Why did it do that?” / “What is it doing now?” / “What will it do next?” — is verbatim from the FAA Human Factors Team report of 18 June 1996, not Wiener (1989). Full-text search of CR-177528 finds none of the three strings. Woods & Sarter (1998) present an extended version explicitly labelled “(extended from Wiener, 1989).”
  2. “Clumsy automation” is universally attributed to Wiener (1989) — Woods & Sarter cite it that way — but the phrase does not occur in CR-177528 (the only “clumsy” refers to slide-tape training devices). Earliest explicitly titled use located: Cook, Woods, McColligan & Howie (1991), NASA 19910011398. The concept is Wiener’s; the label is an Ohio State coinage back-attributed to him.

Complacency and bias are attentional and training-resistant. Parasuraman & Manzey (2010) is the integrative review and the source of the defensible numbers: complacency “is found in both naive and expert participants and cannot be overcome with simple practice”; automation bias “cannot be prevented by training or instructions.” Reviewed findings include Parasuraman et al. (1993) — 33% failure detection under constant reliability vs 82% under variable, near-ceiling in single-task; Mosier et al. (1998) — 55% omission, 100% commission, and 67% of pilots reporting a “phantom memory” of corroborating evidence that never existed. The two levers with evidence are variable automation reliability and accountability. Neither is knowledge transfer. This is awkward for a training-centric argument and the report is stronger for facing it.

Skill decay is real but the endangered skill is mostly cognitive. The most misreported finding in the field. Casner, Geven, Recker & Schooler (2014), 16 pilots in a 747-400 sim, found verbatim “pilots’ instrument scanning and manual control skills to be mostly intact, even when pilots reported that they were infrequently practiced,” while cognitive tasks — position tracking without a map, navigational sequencing, failure recognition — showed “more frequent and significant problems,” correlated with mind-wandering during automated flight. Haslbeck & Hoermann (2016), 126 pilots, raw-data ILS in Level D A320/A340 sims, found the opposite dimension degraded — but only where practice frequency was low: “recent flight practice is a significantly stronger predictor for fine-motor flying performance than the time period since flight school or even the total or type-specific flight experience.” The two reconcile on practice frequency, not on contradiction.

The industry reached the same conclusion independently. The PARC/CAST Flight Deck Automation Working Group (2013, 277 pp.) analysed 26 accidents, 20 major incidents, 734 ASRS reports (2001–07), LOSA data from 9,155 flights, 2,200+ narratives, and interviews with 11 operators and 6 manufacturers. Verified figures: manual handling error a factor in over 60% of accidents; SA reduction in over 50%; pilots out of the control loop in over 50%; mode selection errors in 27%; pilots overconfident in automation in roughly 25%. From LOSA: 87% of unstabilised approaches landed within parameters, only 3% went around, and 98% of those go-arounds exceeded some parameter. Its Recommendation 1 discussion is the report’s best anchor: manual flying skill “involves more than ‘stick and rudder’ skills. It also involves cognitive skills… Training is an important part of the solution, but training alone would not be sufficient to address this area.”

Monitoring became assessable only after 2009. NTSB SS-94/01 (1994) found ineffective monitoring and challenging in 31 of 37 accidents (84%) — as reported by Sumwalt, Cross & Lessard (2015), whose own 110-report ASRS analysis found 92% of monitoring-related deviations in climb, descent or approach, with FMS programming and radio work each implicated in 23% of cases. Their proposal — predictive FMA callouts, “mentally flying” the aircraft — is the most transferable technique in the stream and aligns exactly with Casner’s cognitive-engagement finding. CAA Paper 2013/02 built behavioural markers for monitoring from Line Oriented Evaluations at six UK carriers; the FAA’s 2013 rule mandated monitoring training with March 2019 compliance.

The accident chain converges on three demands. AF447 (BEA 2012) is the hinge: “Initial and recurrent training as delivered today do not promote and test the capacity to react to the unexpected. Indeed the exercises are repetitive, well known to crews” — producing FRAN-2012-039 through -044 on reconfiguration laws, flight mechanics, startle, CRM under surprise, and instructor standardisation. Asiana 214 (NTSB/AAR-14/01) is the most explicit official finding on automation complexity: contributing were “the complexities of the autothrottle and autopilot flight director systems that were inadequately described in Boeing’s documentation and Asiana’s pilot training, which increased the likelihood of mode error” — with the NTSB citing Sarter & Woods and FAA 1996/2013 inside its own analysis. Colgan 3407 produced A-10-10 on monitoring SOPs and the rule that followed. Across BEA, NTSB and FAA/industry: train the unexpected; train mode logic and simplify the design that requires it; treat monitoring as a competency.

The counter-story holds. Every document that catalogues the problems also says the fleet is safer. PARC/CAST: automated systems “have contributed significantly to improvements in safety.” EUROCONTROL gives the hardest number: “TCAS II is estimated to reduce the risk of midair collision by a factor of about 5 (i.e. a risk ratio of approximately 22%),” sourced to ACASA Project ACAS/02-022 (May 2002) — and the ratio deliberately includes TCAS-induced risk. Best synthesis: automation succeeded so thoroughly against the hazards it was engineered for that residual risk migrated into the human–automation seam, and Loss of Control–Inflight — precisely what the monitoring/manual-flying/startle agenda targets — became the dominant fatal category.


Strongest citations

  1. Wiener, E. L., & Curry, R. E. (1980). Flight-deck automation: Promises and problems. NASA TM-81206, NASA Ames, June 1980. Also Ergonomics 23(10), 995–1011. https://ntrs.nasa.gov/api/citations/19800017542/downloads/19800017542.pdf — [VERIFIED, quotes string-matched]
  2. Wiener, E. L. (1989). Human factors of advanced technology (“glass cockpit”) transport aircraft. NASA CR-177528, Contract NCC2-377, June 1989. https://ntrs.nasa.gov/api/citations/19890016609/downloads/19890016609.pdf — [VERIFIED, quotes string-matched]
  3. FAA Human Factors Team (1996). The Interfaces Between Flightcrews and Modern Flight Deck Systems. FAA, 18 June 1996, 208 pp. https://ocw.mit.edu/courses/16-422-human-supervisory-control-of-automated-systems-spring-2004/8d7eb9b46a49ebe566a52a623b4cf786_interfac.pdf — [VERIFIED; true source of the three questions; 51 recommendations across 8 coded series]
  4. Sarter, N. B., & Woods, D. D. (1995). How in the world did we ever get into that mode? Mode error and awareness in supervisory control. Human Factors 37(1), 5–19. DOI 10.1518/001872095779049516 — [VERIFIED via Crossref + publisher abstract]
  5. Woods, D. D., & Sarter, N. B. (1998). Learning from automation surprises and “going sour” accidents. NASA/CR-1998-207061, 19 Jan 1998. https://ntrs.nasa.gov/api/citations/19980016965/downloads/19980016965.pdf — [VERIFIED, quotes string-matched]
  6. Parasuraman, R., & Riley, V. (1997). Humans and automation: Use, misuse, disuse, abuse. Human Factors 39(2), 230–253. DOI 10.1518/001872097778543886 — [VERIFIED, full abstract]
  7. Parasuraman, R., & Manzey, D. H. (2010). Complacency and bias in human use of automation: An attentional integration. Human Factors 52(3), 381–410. DOI 10.1177/0018720810376055 — [VERIFIED, full text retrieved]
  8. Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000). A model for types and levels of human interaction with automation. IEEE Trans. SMC–Part A 30(3), 286–297. DOI 10.1109/3468.844354 — [VERIFIED metadata]
  9. Lee, J. D., & See, K. A. (2004). Trust in automation: Designing for appropriate reliance. Human Factors 46(1), 50–80. DOI 10.1518/hfes.46.1.50_30392 — [VERIFIED, full abstract]
  10. Endsley, M. R., & Kiris, E. O. (1995). The out-of-the-loop performance problem and level of control in automation. Human Factors 37(2), 381–394. DOI 10.1518/001872095779064555 — [VERIFIED, full abstract]
  11. Casner, S. M., Geven, R. W., Recker, M. P., & Schooler, J. W. (2014). The retention of manual flying skills in the automated cockpit. Human Factors 56(8), 1506–1516. DOI 10.1177/0018720814535628 — [VERIFIED, structured abstract verbatim]
  12. Haslbeck, A., & Hoermann, H.-J. (2016). Flying the needles: Flight deck automation erodes fine-motor flying skills among airline pilots. Human Factors 58(4), 533–545. DOI 10.1177/0018720816640394 — [VERIFIED, Crossref abstract + DLR preprint]
  13. Ebbatson, M., Harris, D., Huddlestone, J., & Sears, R. (2010). The relationship between manual handling performance and recent flying experience in air transport pilots. Ergonomics 53(2), 268–277. DOI 10.1080/00140130903342349 — [Citation VERIFIED; CONTENT UNRETRIEVED — do not characterise its results]
  14. PARC/CAST Flight Deck Automation Working Group (2013). Operational Use of Flight Path Management Systems: Final Report. FAA, 277 pp. https://skybrary.aero/bookshelf/books/2501.pdf — [VERIFIED, all statistics string-matched]
  15. BEA (2012). Final Report on the accident on 1st June 2009 to the Airbus A330-203 registered F-GZCP, Air France flight AF 447. Paris: BEA, July 2012, 223 pp. https://bea.aero/fileadmin/documents/docspa/2009/f-cp090601.en/pdf/f-cp090601.en.pdf — [VERIFIED, quotes and recommendation numbers string-matched]
  16. NTSB (2014). Asiana Airlines Flight 214, Boeing 777-200ER, San Francisco, July 6, 2013. NTSB/AAR-14/01, 207 pp. https://www.ntsb.gov/investigations/AccidentReports/Reports/AAR1401.pdf — [VERIFIED, probable cause and A-14-37/38/39/40 string-matched]
  17. NTSB (2010). Colgan Air Flight 3407, Bombardier DHC-8-400, Clarence Center, New York, February 12, 2009. NTSB/AAR-10/01, 299 pp. https://www.ntsb.gov/investigations/AccidentReports/Reports/AAR1001.pdf — [VERIFIED, A-10-10/11/12 string-matched]
  18. Sumwalt, R., Cross, D., & Lessard, D. (2015). Examining how breakdowns in pilot monitoring of the aircraft flight path. IJAAA 2(3), Art. 8. DOI 10.15394/ijaaa.2015.1063 — [VERIFIED, full text; carries the NTSB 1994 84% figure]
  19. CAA (2013). Monitoring Matters: Guidance on the Development of Pilot Monitoring Skills. CAA Paper 2013/02, 2nd ed., April 2013, 94 pp. https://skybrary.aero/sites/default/files/bookshelf/2299.pdf — [VERIFIED, full text]
  20. FAA (2013). Manual Flight Operations. SAFO 13002, 4 Jan 2013 — [VERIFIED]
  21. EUROCONTROL (2017). ACAS Guide: Airborne Collision Avoidance Systems, Dec 2017 — [VERIFIED, "factor of about 5 / risk ratio ~22%" string-matched, sourced to ACASA ACAS/02-022, May 2002]
  22. EASA Together4Safety (2021). Safety Issue Report — Skills and Knowledge Degradation due to Lack of Recent Practice, V2.0, 4 Aug 2021, ref. SI-5003 — [VERIFIED; states the aviation research base is "limited"]

Gaps, contested findings, unverified

Could not retrieve — highest priority

  • Ebbatson et al. (2010) full text. Citation solid; findings entirely unretrieved. Do not characterise this study’s results.
  • Dutch Safety Board, Turkish Airlines 1951 — two mirrors failed.
  • KNKT final report, AirAsia 8501 — no primary link surfaced.
  • BASI (1998) Advanced Technology Aircraft Safety Survey Report — catalogue description only. Survey N, aircraft types and all percentages unverified. The main non-US/non-European survey on the brief.
  • NTSB SS-94/01 (1994) itself. The 84% (31 of 37) figure is held only through Sumwalt et al. (2015). The PDF yielded 106 bytes of text.
  • NTSB/AAR-86/03 (China Airlines 006) — scanned image, 49 characters extracted. Needs OCR.
  • Official reports for Habsheim (1988), Bangalore (1990), Strasbourg (1992), Birgenair (1996), Nagoya (1994). For Nagoya and Cali only the FAA 1996 report’s framing is verified — enough to establish why the HF Team was convened, not enough to write mechanism or recommendation sentences. None were written.
  • Endsley’s SAGAT papers — not retrieved; SA measurement is [SECONDARY].
  • Sarter, Woods & Billings (1997) chapter — page range contested (NTSB cites 553–569; circulating citation gives 1926–1943; likely different Handbook editions). Unresolved.

Contested or frequently misreported — all resolved with verified negative searches

  • The three questions are FAA (1996), not Wiener (1989).
  • “Clumsy automation” does not appear in CR-177528.
  • Casner et al. (2014) is routinely cited as proving stick-and-rudder decay. It found the opposite on that dimension.
  • The evidence base for skill decay is thin, on the record. Wiener (1989): “has not been attacked experimentally, as it should be.” PARC/CAST (2013): “few were able to provide direct evidence because specific data on manual handling skills usually are not collected.” EASA (2021): “the research base for decay of complex skills, and in particular to aviation, is limited.”
  • No published null or contrary experimental result on manual flying skill decay was found. Reported as an absence — possibly publication bias — not as confirmation.

Numbers refused

  • Any “N of Wiener & Curry’s M predictions came true” tally — no source scores this.
  • Pre/post-GPWS CFIT rate percentages. IATA asserts the reduction qualitatively without before/after quantification. The weakest link in the counter-story.
  • Per-category figures from the Boeing 2025 Statistical Summary — chart text did not extract cleanly enough to trust the digits.
  • Effect sizes from Ebbatson et al. (2010); BASI (1998) survey percentages.

Tagging caveats. Where a quotation came through a summarising fetch rather than a string match (Wiener 1989 phase-comparison statistics, Haslbeck preprint F-values, SAFO 13002 wording, EASA and IATA quotes), the memo says so and downgrades the exact wording to [SECONDARY]. Lee & See’s “calibration / resolution / specificity” terminology is [UNVERIFIED].