References
- Arthur, J. J., Prinzel, L. J., Kramer, L. J., Parrish, R. V., & Bailey, R. E. (2004). Flight simulator evaluation of synthetic vision display concepts to prevent controlled flight into terrain (CFIT) (NASA TP-2004/213008). NASA.
- Avermaete, V. (1998). NOTECHS: Non-technical skill evaluation in JAR-FCL (NLP-TP–98518). Amsterdam: National Aerospace Laboratory NLR.
- Bailey, R. E., Ellis, K. E., & Stephens, C. L. (2013). Test and evaluation metrics of crew decision-making and aircraft attitude and energy state awareness. AIAA Infotech@Aerospace. https://ntrs.nasa.gov/citations/20140002410
- Beringer, D. A., & Ball, J. D. (2009). Unknown-attitude recoveries using conventional and terrain-depicting attitude indicators: Difference testing, equivalence testing, and equivalent level of safety. International Journal of Aviation Psychology, 19(1), 76–97. https://doi.org/https://doi.org/10.1080/10508410802597366
- Boeing. (2008). Airplane upset recovery. Industry solutions for large swept-wing turbofan airplanes typically seating more than 100 passengers.
- Boeing. (2016). Statistical summary of commercial jet airplane accidents worldwide operations, 1959–2015. Seattle, WA: Boeing Commercial Aircraft. http://www.boeing.com/resources/boeingdotcom/company/about_bca/pdf/statsum.pdf
- Burki-Cohen, J. (2010). Technical challenges of upset recovery training: Simulating the element of surprise. AIAA Modeling and Simulation Technologies Conference. Paper #AIAA–2010–8008.
- Byers, J. C., Bittner, A. C., Jr., & Hill, S. G. (1989). Traditional and raw Task Load Index (TLX) correlations: Are paired comparisons necessary? In A. Mital (Ed.), Advances in industrial ergonomics and safety I (pp. 481–485). Taylor & Francis.
- Casner, S. M., Geven, R. W., & Williams, K. T. (2013). The effectiveness of airline pilot training for abnormal events. Human factors. The Journal of the Human Factors and Ergonomics Society, 55(3), 477–485. https://doi.org/https://doi.org/10.1177/0018720812466893
- Ceschi, A., Costantini, A., Zagarese, V., Avi, E., & Sartori, R. (2019). The NOTECHS+: A short scale designed for assessing the non-technical skills (and more) in the aviation and the emergency personnel. Frontiers in Psychology, 10(10), 902. https://doi.org/https://doi.org/10.3389/fpsyg.2019.00902
- Chen, W. R., & Zhao, L. R. (2014). Review – Volcanic ash and its influence on aircraft engine components. Proceedia Engineering, 99, 795–803. https://doi.org/https://doi.org/10.1016/j.proeng.2014.12.604
- Chiles, P. (2007). What lies below: Plan to avoid rocks during an emergency descent. Aero Safety World, 12(July), 30–35. Alexandria, VA: Flight Safety Foundation. https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwif1J7t0IPvAhU1FVkFHVFyAdgQFjAAegQIARAD&url=http%3A%2F%2Fwww.flightsafety.org%2Fasw%2Fjuly07%2Fasw_july07.pdf&usg=AOvVaw3z8GyVHdsE9AhmYs7-YB6S
- Code of Federal Regulation. (2020, November 10). Flight simulation training device initial and continuing qualification and use. Electronic Code of Federal Regulation. (14 CFR Part 60. Docket No. FAA-2002-12461). www.ecfr.gov
- Commercial Aviation Safety Team. (2014a). Airplane state awareness joint safety analysis team final report. CAST.
- Commercial Aviation Safety Team. (2014b). Airplane state awareness joint safety implementation team final report. CAST.
- Commercial Aviation Safety Team. (2014c). Detailed implementation plan – Safety enhancement 200. CAST.
- Comstock, J. R., Prinzel, L. J., Harrivel, A. R., Stephens, C. L., & Kennedy, K. D. (2020). Flight simulation scenarios for commercial pilot training and crew state monitoring. NASA-TM-2020-33616. Hampton, VA: NASA Langley Research Center.
- Daniels, T. S., Ferguson, C. M., Dangtran, E. T., Korovin, R. M., Kramer, L. J., Evans, E. T., Santiago-Espada, Y., Kiggins, D. E., Etherington, T. J., & Barnes, J. R. (2019, March). Regarding pilot usage of display technologies for improving awareness of aircraft system states. 2019 IEEE Aerospace Conference. Big Sky, MT. https://ntrs.nasa.gov/citations/20200002619
- Ellis, K. E. (2014). Flight deck crew coordination indices of workload and situation awareness in terminal operations [PhD thesis], University of Iowa. http://ir.uiowa.edu/etd/1313.
- Ellis, K. E., Prinzel, L. J., Arthur, J. J., Nicholas, S. N., Kiggins, D., Verstynen, H., Hubbs, C., & Wilkerson, J. (2017). Design considerations for attitude state awareness and prevention of entry into unusual attitudes. International Symposium on Aviation Psychology.
- Ellis, K. E., Prinzel, L. J., Ballard, K. M., Lake, R. C., Nicholas, S. N., Arthur, J. T., & Bailey, R. E. (2019). Virtual day-VMC displays for attitude state awareness. AIAA SciTech Forum (AIAA 2019–0720). San Diego, CA:AIAA. https://doi.org/10.2514/6.2019–0720
- Ewbank, C. E., Mumaw, R. J., & Snow, M. P. (2016). Development of the enhanced bank angle warning. Digital Avionics Systems Conference (DASC), 35, 1–9. 2016 IEEE/AIAA.
- Federal Aviation Administration. (2008). Airplane upset recovery training aid (Rev 2). FAA.
- Federal Aviation Administration. (2015a). Stall prevention and recovery training (Advisory Circular No. 120-109A). FAA.
- Federal Aviation Administration. (2015b). Flightcrew member line operational simulations: Line-oriented flight training, special purpose operational training, line operational evaluation (Advisory Circular 120-35D). FAA.
- Federal Aviation Administration. (2017). Upset prevention and recovery training (Advisory Circular 120-111 Change 1). FAA.
- Federal Aviation Administration. (2020, October 6). Enhanced flight vision systems. Briefing of Flight Technologies and Procedures Division. Flight Operations Group. https://www.faa.gov/about/office_org/headquarters_offices/avs/offices/afx/afs/afs400/afs410/efvs/media/EFVS_Overview.pdf
- Flin, R., & Martin, L. (2001). Behavioral markers for crew resource management: A review of current practice. The International Journal of Aviation Psychology, 11(1), 95–118. https://doi.org/https://doi.org/10.1207/S15327108IJAP1101_6
- Flin, R., Martin, L., Goeters, K.-M., Hörmann, H.-J., Amalberti, R., Valot, C., & Nijhuis, H. (2003). Development of the NOTECHS (non-technical skills) system for assessing pilots’ CRM skills. Human Factors and Aerospace Safety, 3(2), 97–119. https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiFsMOb0oPvAhUpF1kFHQuzCugQFjAAegQIAxAD&url=https%3A%2F%2Fwww.abdn.ac.uk%2Fiprc%2Fdocuments%2FNOTECHS%2520HFAS%2520proof%2520copy.pdf&usg=AOvVaw1Olw19XQc4zrCUcbxpbSZE
- Gawron, V., Bailey, R., & Randall, A. (2009). Differences in in-flight unusual attitude recovery performance and workload. Cited in LeVie, L.R. (2016), survey of quantitative research metrics to assess pilot performance in upset recovery (NASA-TM-2016-219191). NASA Langley Research Center.
- Hart, S. G., & Staveland, L. E. (1988). Development of a NASA-TLX (Task Load Index): Results of empirical and theoretical research. In P. A. Hancock & N. Meshkati (Eds.), Human mental workload (pp. 139–183). North-Holland.
- He, G., & Feyereisen, T. (2008). Synthetic vision primary flight displays for helicopters. SPIE proceedings. In J. Güell & M. Uijt De Haag (Eds.), Enhanced and synthetic vision 2008 proceeding of SPIE, 6957 (pp. 695708). Bellingham, Washington: Society for Optical Engineering (SPIE).
- International Air Transport Association. (2019). Loss of control in-flight accident analysis report 2019 edition. IATA.
- Kratchounova, D., & Newton, D. (2020). Combined vision systems literature review. DOT/FAA/AM-19/20. Washington, DC.: Federal Aviation Administration.
- Landman, A., Groen, E. L., Van Paassen, M. M., (René), Bronkhorst, A. W., & Mulder, M. (2017). The influence of surprise on upset recovery performance in airline pilots. The International Journal of Aerospace Psychology, 27(1–2), 2–14. https://doi.org/https://doi.org/10.1080/10508414.2017.1365610
- Ledegang, W. D., & Groen, E. L. (2015). Stall recovery in a centrifuge-based flight simulator with an extended aerodynamic model. The International Journal of Aviation Psychology, 25(2), 122–140. https://doi.org/https://doi.org/10.1080/10508414.2015.1131085
- Martin, W. L., Murray, P. S., & Bates, P. R. (2012). The effects of startle on pilots during critical events: A case study analysis. Proceedings of the 30th EAAP Conference: Aviation Psychology & Applied Human Factors. https://www.researchgate.net/publication/275833443_The_Effects_of_Startle_on_Pilots_During_Critical_Events_A_Case_Study_Analysis
- Martin, W. L., Murray, P. S., Bates, P. R., & Lee, P. S. (2016). A flight simulator study of the impairment effects of startle on pilots during unexpected critical events. Aviation Psychology and Applied Human Factors, 6(1), 24–32. https://doi.org/https://doi.org/10.1027/2192-0923/a000092
- Matthew, T. (2004). “Predictors of threat and error management: Identification of core nontechnical skills and implications for training systems design” (PDF). The International Journal of Aviation Psychology, 14(2), 207–231. https://doi.org/https://doi.org/10.1207/s15327108ijap1402_6
- Maurino, D. (2005, April 18–20). Threat and Error Management (TEM). Canadian Aviation Safety Seminar (CASS). https://www.skybrary.aero/bookshelf/books/515.pdf
- Nicholas, S. N. (2016). Evaluation of synthetic vision display concepts for improved awareness in unusual attitude recovery scenarios. Department of Defense Human Factors and Ergonomics Meeting 70 TAG Meeting. Presented May 10, 2016.
- Nicholas, S. N., Arthur, J. J., Ballard, K., Lake, R. C., Ellis, K. E., & Prinzel, L. J. (2019, May 1). Evaluation of a head-down display with ambient vision cues for unusual attitude recovery. Proceeding of the SPIE 11019 Situation Awareness in Degraded Environments 10190E. https://doi.org/https://doi.org/10.1117/12.2521125
- Prinzel, L. J., & Kramer, L. J. (2006). Synthetic visions systems. In W. Waldermar Karwosksi (Ed..), Encyclopedia of ergonomics and human factors. CRC Press. (Chapter 264). https://doi.org/https://doi.org/10.1201/9780849375477
- Prinzel, L. J., Ellis, K. E., Arthur, J. J., Nicholas, S. N., & Kiggins, D. (2017). Synthetic vision system commercial aircraft flight deck display technologies for unusual attitude recovery. International Symposium on Aviation Psychology. https://corescholar.libraries.wright.edu/cgi/viewcontent.cgi?article=1069&context=isap_2017
- Prinzel, L. J., & Wickens, C. D. (2009a). Synthetic vision systems, part I. The International Journal of Aviation Psychology, 19(1), 1–7. https://doi.org/https://doi.org/10.1080/10508410802597382
- Prinzel, L. J., & Wickens, C. D. (2009b). Synthetic vision systems, part II. The International Journal of Aviation Psychology, 19(2), 99–104. https://doi.org/https://doi.org/10.1080/10508410902766069
- Rivera, J., Jentsch, F., Talone, A. B., Boesser, C. T., & Jimenez, C. (2015). Defining startle, surprise, and distraction. University of Central Florida. Grant # FAA CRA 13-G-007.
- RTCA. (2018). Minimum Aviation System Performance Standards (MASPS) for aircraft state awareness synthetic vision systems (RTCA/DO-371).
- Schnell, T., Reuter, C. M., & Cover, M. B. (2018). Flight deck visual and auditory display counter-measures to spatial disorientation and loss of energy state awareness (NASA Final Report CR-NNX12AN02A). Hampton, VA: NASA Langley Research Center.
- Schroeder, J. A., Bürki-Cohen, J., Shikany, D. A., Gingras, D. R., & Desrochers, P. (2014, January). An evaluation of several stall models for commercial transport training. AIAA Modeling and Simulation Technologies Conference, Washington, DC: AIAA
- Taleb, N. T. (2007). The black swan: The impact of the highly improbable. Random House Publishing Group.
- Taylor, R. M. (1990). Situational Awareness Rating Technique (SART): The development of a toll for aircrew systems design. AGARD Conference Proceedings No 478: Situational Awareness in Aerospace Operations. Copenhagen: Aerospace Medical Panel Symposium. October 2-6, 1989.
- Ward, J. (2016, May 13). Present and future of vision systems technologies in commercial flight operations. Proceedings of the SPIE 9839, Degraded Visual Environments: Enhanced, Synthetic, and External Vision Solutions 2016 (pp. 98390B). https://doi.org/https://doi.org/10.1117/12.2228271
- Wickens, C. D., Hooey, B., Gore, B. F., Sebok, A., & Koenicke, C. S. (2009). Identifying black swans in NextGen: Predicting human performance in off-nominal conditions. Human Factors, 51(5), 638–651. https://doi.org/https://doi.org/10.1177/0018720809349709
- Young, S. D., Uijt De Haag, M., Daniels, T., Evans, E., Shish, K. H., Schuet, S., Etherington, T., & Kiggins, D. (2016). Evaluating technologies for improved airplane state awareness and prediction. AIAA Infotech @ Aerospace, AIAA SciTech Forum, (AIAA 2016-2043). https://doi.org/https://doi.org/10.2514/6.2016-2043.