The document discusses the Federal Aviation Administration's use of human factors analysis in air traffic management systems. It addresses how human factors research focuses on human performance, safety analysis, and system optimization. The FAA integrates human factors throughout the system development life cycle from research and requirements definition to post-implementation monitoring to improve safety and performance. Challenges include fully integrating human factors programs, but the FAA addresses this through standards, education, and communication across lines of business.
Case-Based Reasoning for the Evaluation of Safety Critical Software. Applicat...IJERDJOURNAL
ABSTRACT: The purpose of the work described in this paper is to improve the assessment of the safety analyses for railway transport systems in France. The modes of reasoning which are used in the context of safety analysis and the very nature of knowledge about safety mean that a conventional computing solution is unsuitable and the utilization of artificial intelligence techniques would seem to be more appropriate. The approach which was adopted in order to design and implement an assistance tool for safety analysis involved the following two main activities: – Extracting, formalizing and storing hazardous situations to produce a library of standard cases which covers the entire problem. This process entailed the use of knowledge acquisition techniques; – Exploiting the stored historical knowledge in order to develop safety analysis know-how which can assist experts to judge the thoroughness of the manufacturer’s suggested safety analysis. This second activity involves the use of machine learning techniques in particular the use of Case-Based Reasoning. This paper presents a mock-up of a tool for storing and assessing Software Error Effect Analysis (SEEA) for the safety of automatic devices of terrestrial guided transport system. The purpose of our work is to exploit historical SEEA, which have already been carried out on approved safety-critical software, in order to assess SEEA of new software.
STUDY ON TECHNICAL FOCUSES AND SAMPLING COVERAGE STRATEGY OF AIRBORNE SOFTWAR...ijseajournal
Airborne software is invisible and intangible, it can have a significant impact on the safety of the aircraft.
However, it cannot be exhaustively tested, and can only be assured through a structured, process, activity,
and objective-based approach. This paper studied the similarities and differences of software review
policies of the four selected National Airworthiness Authorities (NAAs) by using a comparative approach
and analysed the general certification basis of specific regulation clauses from the International Civil
Aviation Organization Conventions to each contracting States’ regulations by a traceability method. Then
analyzed the development processes and objectives applicable to different software levels based on
RTCA/DO-178C. Identified 82 technical focus points based on each airborne software development subprocess, then created a Process Technology Coverage matrix to demonstrate the technical focuses of each
process. Developed an objective-oriented top-down and bottom-up sampling strategy for the 4 software
Stage of Involvement reviews by taking into account the frequency and depth of involvement. Finally,
created the Technology Objective Coverage matrix, which can support the reviewers to perform the
efficient risk-based SOI reviews by considering the identified technical points, thus to ensure the safety of
the aircraft from the software assurance perspective.
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Flight delay has been the fiendish problem to the world's aviation industry, so there is very important
significance to research for computer system predicting flight delay propagation. Extraction of hidden
information from large datasets of raw data could be one of the ways for building predictive model. This
paper describes the application of classification techniques for analysing the Flight delay pattern in Egypt
Airline’s Flight dataset. In this work, four decision tree classifiers were evaluated and results show that the
REPTree have the best accuracy 80.3% with respect to Forest, Stump and J48. However, four rules based
classifiers were compared and results show that PART provides best accuracy among studied rule-based
classifiers with accuracy of 83.1%. By analysing running time for all classifiers, the current work
concluded that REPtree is the most efficient classifier with respect to accuracy and running time. Also, the
current work is extended to apply of Apriori association technique to extract some important information
about flight delay. Association rules are presented and association technique is evaluated.
Case-Based Reasoning for the Evaluation of Safety Critical Software. Applicat...IJERDJOURNAL
ABSTRACT: The purpose of the work described in this paper is to improve the assessment of the safety analyses for railway transport systems in France. The modes of reasoning which are used in the context of safety analysis and the very nature of knowledge about safety mean that a conventional computing solution is unsuitable and the utilization of artificial intelligence techniques would seem to be more appropriate. The approach which was adopted in order to design and implement an assistance tool for safety analysis involved the following two main activities: – Extracting, formalizing and storing hazardous situations to produce a library of standard cases which covers the entire problem. This process entailed the use of knowledge acquisition techniques; – Exploiting the stored historical knowledge in order to develop safety analysis know-how which can assist experts to judge the thoroughness of the manufacturer’s suggested safety analysis. This second activity involves the use of machine learning techniques in particular the use of Case-Based Reasoning. This paper presents a mock-up of a tool for storing and assessing Software Error Effect Analysis (SEEA) for the safety of automatic devices of terrestrial guided transport system. The purpose of our work is to exploit historical SEEA, which have already been carried out on approved safety-critical software, in order to assess SEEA of new software.
STUDY ON TECHNICAL FOCUSES AND SAMPLING COVERAGE STRATEGY OF AIRBORNE SOFTWAR...ijseajournal
Airborne software is invisible and intangible, it can have a significant impact on the safety of the aircraft.
However, it cannot be exhaustively tested, and can only be assured through a structured, process, activity,
and objective-based approach. This paper studied the similarities and differences of software review
policies of the four selected National Airworthiness Authorities (NAAs) by using a comparative approach
and analysed the general certification basis of specific regulation clauses from the International Civil
Aviation Organization Conventions to each contracting States’ regulations by a traceability method. Then
analyzed the development processes and objectives applicable to different software levels based on
RTCA/DO-178C. Identified 82 technical focus points based on each airborne software development subprocess, then created a Process Technology Coverage matrix to demonstrate the technical focuses of each
process. Developed an objective-oriented top-down and bottom-up sampling strategy for the 4 software
Stage of Involvement reviews by taking into account the frequency and depth of involvement. Finally,
created the Technology Objective Coverage matrix, which can support the reviewers to perform the
efficient risk-based SOI reviews by considering the identified technical points, thus to ensure the safety of
the aircraft from the software assurance perspective.
MACHINE LEARNING TECHNIQUES FOR ANALYSIS OF EGYPTIAN FLIGHT DELAYIJDKP
Flight delay has been the fiendish problem to the world's aviation industry, so there is very important
significance to research for computer system predicting flight delay propagation. Extraction of hidden
information from large datasets of raw data could be one of the ways for building predictive model. This
paper describes the application of classification techniques for analysing the Flight delay pattern in Egypt
Airline’s Flight dataset. In this work, four decision tree classifiers were evaluated and results show that the
REPTree have the best accuracy 80.3% with respect to Forest, Stump and J48. However, four rules based
classifiers were compared and results show that PART provides best accuracy among studied rule-based
classifiers with accuracy of 83.1%. By analysing running time for all classifiers, the current work
concluded that REPtree is the most efficient classifier with respect to accuracy and running time. Also, the
current work is extended to apply of Apriori association technique to extract some important information
about flight delay. Association rules are presented and association technique is evaluated.
Full paper presented at the NPRA National Safety Conference, 1999 in Dallas "Human Performance Engineering: A Practical Approach to Application of Human Factors. [Relevant to safe operation of "high hazard" facilities, for example in process and energy industries.]
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ABSTRACT: This article describes a contribution to improving the usual safety analysis methods used in the certification of railway transport systems. The methodology is based on the complementary and simultaneous use of knowledge acquisition and machine learning. To demonstrate the feasibility and soundness of the proposed approach to assist in the analysis and evaluation of railway safety, we have developed a software tool. This tool is composed of two main modules: A module for the classification and capitalization of historical accident scenarios and a module for evaluating the completeness and consistency of the new scenarios proposed by the manufacturer of the transport system. The first classification module is an inductive, incremental and interactive learning system. The second evaluation module, which is based on the use of a rule-learning system, aims to provide experts with suggestions of potential failures which have not been considered by the manufacturer and which are capable of jeopardizing the safety of a new rail transport system. In contrast to traditional failure Diagnosis Systems, the developed software tool can be seen as an aid which reveals potential risk during the design stage of rail system
Human safety in the Middle East is a crucial aspect especially when working on critical mission systems. Any trivial error may result in inevitable dangerous causalities that lead to loss of innocent souls. The main objective of this paper is to introduce a complete study of a system that automates the currently adopted manual process of having dedicated men to control the barriers at the railway crossings when trains pass, the main objective is to reduce the possible human errors resulting from manual control. This study aims to provide a robust solution that adheres to a formal, systematic and new procedure to enhance the overall quality of requirements gathered for critical systems. In addition, it reflects how effective is the usage of goal oriented modelling in requirements elicitation stage for critical systems to define a clear scope and validate requirements against any missing, inconsistent or vague requirements at early stage.
INVESTIGATING HUMAN-MACHINE INTERFACES’ EFFICIENCY IN INDUSTRIAL MACHINERY AN...IJITCA Journal
The twenty-first century has seen a vast technological revolution characterized by the development of
cyber-physical systems, integration of things, and new and computationally improved machines and
systems. However, there have been seemingly little strides in the development of user interfaces,
specifically for industrial machines and equipment. The aim of this study was to assess the efficiency of the
human-machine interfaces in the Kenyan context in providing a consistent and reliable working
environment for industrial machine operators. The researcher employed a convenient purposive sampling
to select 15 participants who had at least two years of hands-on experience in machines operation, control,
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The International Journal of Information Technology, Control and Automation (...IJITCA Journal
The International Journal of Information Technology, Control and Automation (IJITCA) is a Quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Information Technology (IT), Control Systems and Automation Engineering. The journal focuses on all technical and practical aspects of IT, Control Systems and Automation with applications in real-world engineering and scientific problems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on information technology, control engineering, automation, modeling concepts and establishing new collaborations in these areas.
Authors are invited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Information Technology, Control Systems and Automation.
The International Journal of Information Technology, Control and Automation (...IJITCA Journal
The International Journal of Information Technology, Control and Automation (IJITCA) is a Quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Information Technology (IT), Control Systems and Automation Engineering. The journal focuses on all technical and practical aspects of IT, Control Systems and Automation with applications in real-world engineering and scientific problems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on information technology, control engineering, automation, modeling concepts and establishing new collaborations in these areas.
Authors are invited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Information Technology, Control Systems and Automation.
INVESTIGATING HUMAN-MACHINE INTERFACES’ EFFICIENCY IN INDUSTRIAL MACHINERY AN...IJITCA Journal
The twenty-first century has seen a vast technological revolution characterized by the development of
cyber-physical systems, integration of things, and new and computationally improved machines and
systems. However, there have been seemingly little strides in the development of user interfaces,
specifically for industrial machines and equipment. The aim of this study was to assess the efficiency of the
human-machine interfaces in the Kenyan context in providing a consistent and reliable working
environment for industrial machine operators. The researcher employed a convenient purposive sampling
to select 15 participants who had at least two years of hands-on experience in machines operation, control,
or instrumentation. The results of the study are herein presented, including the recommendations to
enhance workforce productivity and efficiency.
Full paper presented at the NPRA National Safety Conference, 1999 in Dallas "Human Performance Engineering: A Practical Approach to Application of Human Factors. [Relevant to safe operation of "high hazard" facilities, for example in process and energy industries.]
A hybrid reasoning system for the prevention of rail accidentsIJMERJOURNAL
ABSTRACT: This article describes a contribution to improving the usual safety analysis methods used in the certification of railway transport systems. The methodology is based on the complementary and simultaneous use of knowledge acquisition and machine learning. To demonstrate the feasibility and soundness of the proposed approach to assist in the analysis and evaluation of railway safety, we have developed a software tool. This tool is composed of two main modules: A module for the classification and capitalization of historical accident scenarios and a module for evaluating the completeness and consistency of the new scenarios proposed by the manufacturer of the transport system. The first classification module is an inductive, incremental and interactive learning system. The second evaluation module, which is based on the use of a rule-learning system, aims to provide experts with suggestions of potential failures which have not been considered by the manufacturer and which are capable of jeopardizing the safety of a new rail transport system. In contrast to traditional failure Diagnosis Systems, the developed software tool can be seen as an aid which reveals potential risk during the design stage of rail system
Human safety in the Middle East is a crucial aspect especially when working on critical mission systems. Any trivial error may result in inevitable dangerous causalities that lead to loss of innocent souls. The main objective of this paper is to introduce a complete study of a system that automates the currently adopted manual process of having dedicated men to control the barriers at the railway crossings when trains pass, the main objective is to reduce the possible human errors resulting from manual control. This study aims to provide a robust solution that adheres to a formal, systematic and new procedure to enhance the overall quality of requirements gathered for critical systems. In addition, it reflects how effective is the usage of goal oriented modelling in requirements elicitation stage for critical systems to define a clear scope and validate requirements against any missing, inconsistent or vague requirements at early stage.
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The twenty-first century has seen a vast technological revolution characterized by the development of
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specifically for industrial machines and equipment. The aim of this study was to assess the efficiency of the
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specifically for industrial machines and equipment. The aim of this study was to assess the efficiency of the
human-machine interfaces in the Kenyan context in providing a consistent and reliable working
environment for industrial machine operators. The researcher employed a convenient purposive sampling
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or instrumentation. The results of the study are herein presented, including the recommendations to
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1. CNS SG/18 - IP/05
Agenda Item 11
09/07/14
Agenda Item 11: Any Other Business
THE INTEGRATION OF HUMAN FACTORS IN RESEARCH,
OPERATIONS AND ACQUISITIONS
(Presented by the United States of America)
SUMMARY
This paper presents the Federal Aviation Administration’s use of Human Factors analysis
in the development and operations of air traffic management (ATM) systems. It addresses
research on human performance, safety analysis, and system optimization through human
factors engineering. It identifies the importance of incorporating the human component
throughout system development life cycle.
1. INTRODUCTION
1.1 The FAA defines Human Factors is a multidisciplinary effort to generate and compile
information about human capabilities and limitations and apply that information to produce safe,
comfortable and effective human performance. In the field of Air Traffic Management (ATM), where
safety, efficiency, and continuity are critical elements of virtually every area of expertise, people are
often both the greatest assets and the greatest source of risk. Human Factors research has indicated
that the top 5 safety risks in ATM nearly always involve “Human Error.” As airspace air traffic and
ATM systems become more complex, the analysis and optimization of the human component
becomes essential.
2. DISCUSSION
2.1 Why Does “Human Factors” Matter?
2.1.1 The people involved in the ATM are the ultimate solution providers, whether in
ATM, systems development and integration, maintenance, or a whole series of other essential roles.
Human factors analysis of these roles can improve overall performance, reduce technical risk in
system acquisitions, lower lifecycle costs of systems and equipment, improve human interfaces with
the system and contribute to economic decisions on controller training, as well as providing other
benefits.
International Civil Aviation Organization
EIGHTEENTH MEETING OF THE COMMUNICATIONS/NAVIGATION
AND SURVEILLANCE SUG-GROUP (CNS SG/18) OF APANPIRG
Asia and Pacific Regional Sub-Office, Beijing, China
(21 – 25 July 2014)
2. CNS SG/18 –IP/05
Agenda Item 11
09/07/14
-2-
2.1.2 In addressing system performance HF analysis examines and optimizes human-
computer interaction and usability for both hardware and software. By researching the systems’ users,
researchers gain better understanding of required aptitudes and abilities, how to develop more
effective training, and address the risks associated with fatigue. HF also studies the work
environment, finding ways to optimize operating conditions, organizational structures, procedures,
equipment configurations and other environmental issues.
2.2 ATM Research - Human Performance and Safety
2.2.1 Two of the most fundamental objectives of HF in the FAA are to improve safety and
the performance of the people involved in the system. Researchers develop methodologies for
gathering data, performing analysis and making recommendations on a wide variety of procedures.
HF analysis provides guidance for the implementation of new technologies and improvements to
training techniques. Some examples include developing techniques to analyze controller voluntary
incident reports as part of Air Traffic Safety Analysis Program (ATSAP) and performing controller
impact studies on expanding the use of automated handoff and the use of RNAV/RNP procedures.
Some of the outcomes of the research are assessment of changes in controller performance from time
on task and guidance for top safety risk mitigations.
2.2.2 One of the most significant patterns identified in HF research is that the top 5 safety
risks nearly always involve “Human Error.” Historically, the FAA considered human error as a cause
of failure, but with HF analysis that view has evolved to see human error not as a cause but as a
symptom of system failure. This change in approach has provided impetus for better participation by
controllers and other system users, which in turn provides more accurate data resulting in more
accurate analyses. One of the significant challenges identified is that safety is not inherent in most
ATM systems. The systems themselves are contradictions between multiple goals (safety and
efficiency) that controllers must pursue simultaneously.
2.3 Human Factors Application in ATM Acquisition Programs
2.3.1 The FAA has integrated HF analysis and engineering into all six stages of its
acquisition life cycle; service analysis and strategic planning, concepts and requirements definition,
initial investment analysis, final investment analysis, solution implementation and in-service
management. HF performs unique monitoring and analysis during each stage and provides guidance
throughout the cycle.
2.4 Integration of Human Factors Programs into ATM Systems
2.4.1 While FAA has found significant benefits from the implementation of Human Factors
analysis in its operations and acquisitions systems, integration was and continues to be challenging.
The Human Factors Division uses three concepts to develop better understanding and cooperation
with its customers:
• Education; help program and operational managers to understand human factors costs
and benefits,
• Leveraging standards and best practices for consistent human factors integration and
avoid duplication, and
• Building communications across FAA lines of business on human factors in research,
acquisitions, and operations.
3. CNS SG/18 – IP/05
Agenda Item 11
09/07/14
-3-
2.4.2 The FAA’s Human Factors Division also works to normalize HF analysis and
protocols on an international level by coordinating activities with EUROCONTROL on safety and
human performance through cooperative work agreements. One example is a joint FAA - Eurocontrol
program to develop principles for integrating automation in controller workstations.
3. ACTION BY THE MEETING
3.1 The meeting is invited to:
a) note the information contained in this paper; and
b) discuss any relevant matters as appropriate.
_ _ _ _ _ _ _ _ _ _ _ _ _
4. 1
Human Factors Research and
Applications
Federal Aviation Administration
ICAO APAC CNS-SG/18
July 21-25, 2014
5. Overview
• Definition of Human Factors
• Human Factors Research
• Human Factors in Acquisitions
• Summary
2
6. What is Human Factors?
3
Human factors is a multidisciplinary effort to generate and
compile information about human capabilities and
limitations and apply that information to produce safe,
comfortable and effective human performance.
Systems, Equipment,
Software, Facilities
Procedures, Jobs,
Work Environments
Training, Staffing,
Personnel Management
“As a lifelong safety advocate, I clearly understand
the critical importance of designing systems to assign
to people what they do best, and to machines, what
is appropriate for them to do. I know from long
personal experience how vital a task this is in
aviation, particularly as newer aircraft incorporate
increasing levels of automation.”
–Captain Chesley “Sully” Sullenberger
7. Why Does Human Factors Matter?
4
System
Performance
• Operating conditions
• Organizational
structures
• Procedures
• Equipment
configurations
• Work scenarios
Hardware/
Software
User
Work
Environment
• Aptitudes
• Abilities
• Training
• Fatigue
• Human-
Computer
Interaction
• Usability
Human
Factors
• Improve overall
performance
• Reduce technical risk in
system acquisitions
• Lower lifecycle costs of
systems and equipment
• Improve human interfaces
with the system.
• Contribute to economical
decisions on controller
training
8. Research On Human Performance
5
Human
Performance
in Safety
Human
Performance
in
Engineering
Human
Performance
in Training
9. ATC Research Human Centered
Design
6
• Developing safety alert design guidance, e.g., Minimum
Safe Altitude Warning (MSAW)
• Assessing controller information requirements for data
blocks that are common across en route and terminal
radar displays
• Developing standards for Technical Operations on
symbols and markings, and use of abbreviations
10. ATC Research Human Centered
Design
7
• Developing safety alert design guidance, e.g.,
Minimum Safe Altitude Warning (MSAW)
• Assessing controller information requirements
for data blocks that are common across en route
and terminal radar displays
• Developing standards for Technical Operations
on symbols and markings, and use of
abbreviations
11. Challenge For Effective Tower System
Integration And Standardization
8
Mitigate use of
multiple pieces of
equipment having
different interfaces
Boston Tower
12. ATC Research Controller Training
9
• Assessing techniques to
improve visual scanning
methods during training
• Assessing controller on the
job training success
Screening for effective
facility placement
Reduce facility training
failure rate
• Developing guidance on
training techniques for Loss of
Separation
Head mounted eye tracking equipment
13. ATC Research
Human Performance and Safety
10
• Developing techniques to
analyze controller voluntary
incident reports as part of Air
Traffic Safety Analysis Program
(ATSAP)
Automated handoff
Use of RNAV/RNP procedures
• Assessing changes in controller
performance from time on task
• Developing guidance for top
safety risk mitigations
STARS equipment
14. Top Safety Risks
11
• Top 5 nearly always involve “Human Error”
“The old view" sees human error as a cause of failure
“The new view" sees human error not as a cause but
as a symptom of failure
Safety is not inherent in systems. The systems
themselves are contradictions between multiple goals
(safety and efficiency) that controllers must pursue
simultaneously.
15. From Research To Reality: Human
Performance Safety Assessment
12
Air Traffic
Organization
Identified Research
Need
Human Factors
Division Responded
to Research
Requirement
Air Traffic
Organization Uses
Research Results
Human Factors
Division Evaluated
Utility of Solution
2009 2009 - 2011 2012 2012 - Present
•FAA requires each new
system to undergo risk
assessment before
introduction into the
NAS
•Need proactive human
factors research in the
earliest stages of
system design to
reduce safety risks
•Incorporated human
performance taxonomy
in FAA’s voluntary
safety reporting system
– Air Traffic Safety
Action Program
(ATSAP)
•Completed human
performance safety
hazards studies on
RNAV/RNP and
automated handoff
•Detailed descriptions of
top potential human
performance safety
hazards in NextGen
•Mitigation strategies
that incorporate design
and training
requirements
•Incorporation into the ATO
Office of Safety and
Training's mining of safety
data
•Human performance
hazards mitigated through
design requirements fed to
system designers
16. Human Factors Engineering
13
• Human Systems Integration
Roadmap shows
implementation schedule of
new technologies that affect
operations
• Human Factors Acquisition
Working Group responsible
for guidance and technical
support for stakeholders and
programs
17. Human Factors Standards
14
• Recently published HF-STD-004,
Requirements for a Human
Factors Program
• Updating HF-STD-001, Human
Factors Design Standard
• Developing standards for
Technical Operations on symbols
and markings, and abbreviations
Standards & Guidance available at:
https://www.hf.faa.gov/hfportalnew/SAE.aspx
18. Human Factors Application in
ATC Acquisition Programs
Fundamental Research
and Development of
Guidance Material
Develop
User-Centered Concepts
(Research Requirements
Definition and
Development)
Application of HF Design
Standards and Guidance into
Contracts/ Specifications Vendor Design
Preliminary (PDR, CDR)
Integration of HF
into System
Designs
Operational Test for Human
System Performance
(DT, OT, IOT&E)
Monitor Trends in
Human Performance
(e.g., ATSAP, Training)
Post Implementation
Review
19. Our Approach
16
• Helping programs to understand human factors costs
and benefits
• Leveraging standards and best practices for consistent
human factors integration and avoid duplication
• Building communications across FAA lines of business
on human factors in research, acquisitions, and
operations
• Coordinating activities with EUROCONTROL on safety
and human performance through Action Plan 15
Principles for integrating automation in controller workstations
20. Summary
17
• FAA supports an systems-level integration of human factors in
research, acquisitions, and operations
• In-depth perspective on interconnected changes in capabilities for ATC
and flight deck avionics
• Research is focused to resolve shortfalls and gaps
• Research stands up well from external reviews
• Research shown to be effective in transitioning to implementation
• We drive guidance into acquisitions across the acquisition life
cycle by leading the Human Factors Acquisition Working
Group