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The Loss of Manual Flying Skills in Pilots of Highly Automated Airliners PDF

160 Pages·2009·10.16 MB·English
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Cranfield University Matthew Ebbatson The Loss of Manual Flying Skills in Pilots of Highly Automated Airliners School of Engineering PhD Cranfield University School of Engineering PhD Thesis 2009 Matthew Ebbatson The Loss of Manual Flying Skills in Pilots of Highly Automated Airliners Supervisors: Dr. J. Huddlestone and Dr. D. Harris Academic Years 2005 to 2009 © Cranfield University, 2009. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder. “What is chiefly needed is skill rather than machinery” Wilbur Wright 13 May 1900 Acknowledgements I would like to thank all of those people at Cranfield and the contributing organisations who made this work possible. Also, thank you to my friends and family for their kind support and encouragement throughout. Most importantly, thank you to Nathalie, for always having confidence in me. 2 Abstract Anecdotal and subjective evidence suggests that the manual flying ability of pilots operating highly automated aircraft is declining owing to a lack of opportunity to exercise such skills in the modern air transport environment. However, there is a paucity of objective evidence to support this safety concern. Consequently, the work presented in this thesis aims to provide empirically derived data to evaluate the extent and causes of the speculated manual skills decline and guide possible intervention strategies. Initially a cognitive task analysis is undertaken to determine the cognitive demands of performing manual flight in a large jet transport aircraft. Expert pilots report employing highly refined mental models structures which enable them to predict the aircrafts performance whilst causing minimal burden to their mental capacity. The study concludes that when measuring manual flying performance careful consideration must be given to designing a task which challenges both the cognitive and physical aspects of manual flying skill. Secondly, relatively novel pilot performance measures based upon the frequency analysis of control input data are evaluated. An empirical study finds that these techniques are both reliable and sensitive to manual flying performance. Furthermore, when studying large transport aircraft, such measures of the pilots control strategy are found to contribute valuable information about performance which is missing when just traditional ‘outer-loop’ performance measures are applied. The study concludes that these measures of control strategy are valuable in evaluating manual flying performance. Finally, the manual flying skills of a sample of pilots of highly automated aircraft are evaluated on a challenging manual flying task. A significant proportion exhibit poor manual flying performance as judged by a type rating examiner. Further analysis reveals that the performance of the pilots is significantly influenced by the amount of recent manual handling experience they have accumulated, rather than their longer-term manual flying experience. Significantly, airspeed tracking ability is influenced which is cited elsewhere as a causal factor in many manual flying skill related accidents. The results support the previous anecdotal and subjective concerns relating to the loss of manual flying skills. 3 Publications Resulting from this Work Journal Articles: Ebbatson, M. (2006). Practice makes imperfect: common factors in recent manual approach incidents. Human Factors and Aerospace Safety 6(3), 275- 278. Ebbatson, M., Huddlestone, J., Harris, D. and Sears, R. (2007). The Application of Frequency Analysis Based Performance Measures as an Adjunct to Flight Path Derived Measures of Pilot Performance. Human Factors and Aerospace Safety 6(4), 383-394. Ebbatson, M., Harris, D., Huddlestone, J. and Sears, R. (2008). Combining Control Input with Flight Path Data to Evaluate Pilot Performance in Transport Aircraft. Aviation, Space and Environmental Medicine 79(10), 1061-1064. Ebbatson, M., Harris, D., Huddlestone, J. and Sears, R. (2008). The Relationship Between Manual Handling Performance and Recent Flying Experience in Air Transport Pilots. Ergonomics. In review. Conference Proceedings: Ebbatson, M., Huddlestone, J., Sears, R. and Harris, D. (2006). Loss of manual flying skills: Evaluating objective performance measures. 27th Conference of the European Association for Aviation Psychology; September 24th – 28th; Potsdam, Germany. Industry Presentations: FORCE Safety Research for Flight Operations, Gatwick, March 2007 GAPAN Technical & Safety Committee, April 2008 RAeS Flight Crew Training Conference, September 2008 4 Table of Contents 1.1 Background..................................................................................................................11 1.2 Rationale for Research...............................................................................................13 1.2.1 Automated Flight................................................................................................13 1.2.2 Evidence for the Loss of Manual Flying Skills from Pilot Attitude Surveys....15 1.2.3 Evidence for the Loss of Manual Flying Skills from Accident Data................17 1.2.4 Evidence of Manual Flying Skill Loss from Experimental Work......................24 1.2.5 Adapting Training...............................................................................................26 1.3 Scope of Research......................................................................................................27 1.4 Research Objectives...................................................................................................28 1.5 Structure of the Thesis................................................................................................29 2.1 Introduction..................................................................................................................30 2.1.1 Models of Human-Aircraft Control.....................................................................33 2.1.2 Mental Models....................................................................................................34 2.2 Methodology................................................................................................................37 2.2.1 Cognitive Task Analysis.....................................................................................37 2.2.2 Participants.........................................................................................................38 2.2.3 Phase One – Introductions and Task Diagram................................................39 2.2.4 Phase Two – Knowledge Audit.........................................................................40 2.2.5 Phase Three – Simulation Interview.................................................................40 2.2.6 Treatment of Data..............................................................................................41 2.3 Results and Discussion..............................................................................................42 2.3.1 Task Diagram.....................................................................................................42 2.3.2 Cognitive Process..............................................................................................43 2.4 Chapter Conclusions...................................................................................................49 3.1 Introduction..................................................................................................................50 3.2 Performance Measurement in Flight Operations......................................................51 3.2.1 Flight Data Monitoring & Discreet Event Measures.........................................52 3.3 Performance Measurement in Research...................................................................54 3.3.1 General Properties of a Performance Metric...................................................55 3.3.2 Scalar Measures of Tracking Performance......................................................56 3.3.3 Advantages of Measuring Control Strategy...................................................57 3.3.4 Approaches to Measuring Control Strategy.....................................................59 3.3.5 Power Spectral Analysis....................................................................................62 3.3.6 An Alternative Characterisation of Control Strategy........................................64 3.4 Performance Measurement Literature Summary......................................................67 3.5 Study Aims & Objectives............................................................................................68 3.6 Method.........................................................................................................................69 3.6.1 Participants.........................................................................................................69 3.6.2 Equipment...........................................................................................................69 3.6.3 Task.....................................................................................................................70 3.6.4 Performance Measures.....................................................................................70 3.7 Results.........................................................................................................................73 3.7.1 Flight path tracking accuracy and smoothness (outer loop parameters).......73 3.7.2 Summary Frequency Measures of Control Strategy.......................................75 3.7.3 Frequency Band-Pass Measures of Control Strategy.....................................75 3.7.4 Descriptive Power of the Metrics......................................................................77 3.8 Discussion....................................................................................................................79 3.8.1 Measures of outer-loop parameter pursuit tracking.........................................79 3.8.2 Measures of control input strategy....................................................................80 3.8.3 Overview.............................................................................................................82 3.9 Chapter Conclusions...................................................................................................84 4.1 Introduction..................................................................................................................86 4.2 Study Aims and Objectives.........................................................................................86 4.3 Methodology................................................................................................................87 4.3.1 Research Setting................................................................................................87 4.3.2 Participants.........................................................................................................88 4.3.3 Ethical Considerations.......................................................................................89 5 4.3.4 Expert Observation............................................................................................89 4.3.5 Equipment...........................................................................................................90 4.3.6 Manual Handling Experience Measures (Independent Variables).................91 4.3.7 Manual Flying Task............................................................................................92 4.3.8 Experimental Procedure....................................................................................95 4.3.9 Flight Data Derived Performance Measures (Dependant Variables).............98 4.4 Analysis & Results......................................................................................................99 4.4.1 Demographic Data.............................................................................................99 4.4.2 Flight Data Performance Measures................................................................100 4.4.3 TRE Performance Assessment.......................................................................101 4.4.4 Validating the Objective Performance Measures against TRE Scores........106 4.4.5 Relationships between Manual Handling Experience and Performance.....111 4.5 Discussion..................................................................................................................115 4.5.1 Validation and Assessment of Sensitivity of Performance Measures..........116 4.5.2 Relationships between Manual Handling Experience and Performance.....119 5.1 General Discussion...................................................................................................123 5.2 Conclusions...............................................................................................................125 5.3 Suggested Future Research....................................................................................127 Appendix A...………………....................................................................................................134 Appendix B...………………....................................................................................................136 Appendix C...………………....................................................................................................141 Appendix D...………………....................................................................................................142 Appendix E...………………....................................................................................................143 Appendix F...………………....................................................................................................147 Appendix G...………………....................................................................................................149 Appendix H...………………....................................................................................................150 Appendix I...……………….....................................................................................................151 Appendix J...………………....................................................................................................153 Appendix K...………………....................................................................................................156 6 Table of Figures Figure 1 - The HFACS model .................................................................................................................20 Figure 2 - Distribution of accidents by flight phase………………………………………………..22 Figure 3 - Structure of thesis....................................................................................................29 Figure 4 - Aircraft state transitions...........................................................................................31 Figure 5 - The series model of pilot control..........................................................................................34 Figure 6 - SME cognitive task diagrams...............................................................................................44 Figure 7 - Cognitive demands categories ............................................................................................45 Figure 8 - Example time series of control inceptor displacement....................................................60 Figure 9 - Transposition of time series data into the frequency domain........................................61 Figure 10 - Example Plot of Power Spectral Density distribution ...................................................63 Figure 11 - Illustration of frequency banding technique…………………………………………..64 Figure 12 - Illustration of Rantanen et al technique……………………………………………….65 Figure 13 - Averaged periodograms of Control Wheel Inputs..........................................................74 Figure 14 - Averaged periodograms of Control Column inputs.......................................................74 Figure 15 - Plot of partial Eta squared……………………………………………………………...78 Figure 16 - Front and profile views of Boeing 737-300…………………………………………...91 Figure 17 - Diagrammatic representation of the task scenario........................................................94 Figure 18 - FlightScape Insight Animation............................................................................................96 Figure 19 - FlightScape Insight Analysis...............................................................................................97 Figure 20 - TRE scoring distribution.....................................................................................................101 Table of Tables Table 1 - Attributes of a performance metric........................................................................................55 Table 2 – ME and SDE for ILS outer control loop parameters........................................................73 Table 3 – Band-pass metrics for primary flight control Inputs during ILS .....................................76 Table 4 – Summery frequency metrics for Primary Flight Control Inputs during the ILS..........77 Table 5 - Selected battery of performance metrics.............................................................................84 Table 6 - Sample Demographic & Career Background.....................................................................99 Table 7 - Inter-Rater Reliability Assessment of TRE grading using Cohen's Kappa................102 Table 8 - Correlations between metrics and TRE score on the straight and level segment...103 Table 9 - Correlations between metrics and TRE score on the ILS segment ...........................104 Table 10 - Correlations between metrics and TRE score on the missed approach..................105 Table 11 - t-test results for performance metrics between TRE assigned groups....................108 Table 12 - Logistic Regression Model Parameters...........................................................................110 Table 13 - Logistic Regression Model Classification Rate..............................................................110 Table 14 - Correlations between number of manual flying hours and performance.................112 Table 15 - Correlations between recent manual flying exposure and performance ................113 Table 16 - Performance metrics summarised.........................................................................114 7 Glossary ACTA Applied Cognitive Task Analysis AAIB Air Accident Investigation Branch ALAR Approach and Landing Accident Reduction (tool kit) ATC Air Traffic Control ATPL Air Transport Pilot Licence ATQP Alternative Training and Qualification Programme ATSB Australian Transport Safety Bureau CAA Civil Aviation Authority (United Kingdom) CATII Category Three Approach CPL Commercial Pilots Licence CSV Comma Separated Variable (file format) CTA Cognitive Task Analysis DFT Discreet Fourier Transform DME Distance Measuring Equipment EADI Electronic Attitude Directional Indicator EFIS Electronic Flight Instrument System EHSI Electronic Horizontal Situation Indicator FAR Federal Aviation Regulations FDM Flight Data Monitoring FDR Flight Data Recorder FMGS Flight Management and Guidance System FMS Flight Management System FODCOM Flight Operations Department Communication FOQA Flight Operations Quality Assurance FSF Flight Safety Foundation FTD Flight Training Device HFACS Human Factors Analysis and Classification System HTA Hierarchical Task Analysis Hz Hertz ILS Instrument Landing System IMC Instrument Meteorological Conditions IOS Instructors Operating Station IPC Instrument Proficiency Check IR Instrument Rating JAA Joint Aviation Authorities JOT Jet Orientation Training LOFT Line Orientated Flight Training LPC Licence Proficiency Check LR Logistic Regression ME Mean Error MSC Mean Power Spectral Density NG Next Generation NTSB National Transportation Safety Board OPC Operational Proficiency Check PF Pilot Flying 8

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performing manual flight in a large jet transport aircraft. Expert pilots report Secondly, relatively novel pilot performance measures based upon the frequency analysis of An empirical study finds that these techniques are both automated control room has been driven by the concurrent desires for
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