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The Resource A summary of unmanned aircraft accident/incident data : human factors implications, Kevin Williams, (electronic resource)

A summary of unmanned aircraft accident/incident data : human factors implications, Kevin Williams, (electronic resource)

Creator
Contributor
Summary
A review and analysis of unmanned aircraft (UA) accident data was conducted to identify important human factors issues related to their use. UA accident data were collected from the U.S. Army, Navy, and Air Force. Classification of the accident data was a two-step process. In the first step, accidents were classified into the categories of human factors, maintenance, aircraft, and unknown. Accidents could be classified into more than one category. In the second step, those accidents classified as human factors-related were classified according to specific human factors issues of alerts/alarms, display design, procedural error, skill-based error, or other. Classification was based on the stated causal factors in the reports, the opinion of safety center personnel, and personal judgment of the author. The percentage of involvement of human factors issues varied across aircraft from 21% to 68%. For most of the aircraft systems, electromechanical failure was more of a causal factor than human error. One critical finding from an analysis of the data is that each of the fielded systems is very different, leading to different kinds of accidents and different human factors issues. A second finding is that many of the accidents that have occurred could have been anticipated through an analysis of the user interfaces employed and procedures implemented for their use. This paper summarizes the various human factors issues related to the accidents
Language
eng
Work
Publication
Extent
1 online resource (i, 14 pages)
Note
  • Title from title screen (viewed Oct. 29, 2010)
  • "December 2004."
Instance
Label
A summary of unmanned aircraft accident/incident data : human factors implications
Title
A summary of unmanned aircraft accident/incident data
Title remainder
human factors implications
Statement of responsibility
Kevin Williams
Creator
Contributor
Subject
Genre
Language
eng
Summary
A review and analysis of unmanned aircraft (UA) accident data was conducted to identify important human factors issues related to their use. UA accident data were collected from the U.S. Army, Navy, and Air Force. Classification of the accident data was a two-step process. In the first step, accidents were classified into the categories of human factors, maintenance, aircraft, and unknown. Accidents could be classified into more than one category. In the second step, those accidents classified as human factors-related were classified according to specific human factors issues of alerts/alarms, display design, procedural error, skill-based error, or other. Classification was based on the stated causal factors in the reports, the opinion of safety center personnel, and personal judgment of the author. The percentage of involvement of human factors issues varied across aircraft from 21% to 68%. For most of the aircraft systems, electromechanical failure was more of a causal factor than human error. One critical finding from an analysis of the data is that each of the fielded systems is very different, leading to different kinds of accidents and different human factors issues. A second finding is that many of the accidents that have occurred could have been anticipated through an analysis of the user interfaces employed and procedures implemented for their use. This paper summarizes the various human factors issues related to the accidents
Cataloging source
DTICE
http://library.link/vocab/creatorName
Williams, Kevin W
Funding information
Performed by FAA Civil Aerospace Medical Institute under task nos.
Government publication
federal national government publication
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • United States
  • Civil Aerospace Medical Institute
http://library.link/vocab/subjectName
  • Drone aircraft
  • Aircraft accidents
  • Aeronautics
  • Military Aircraft Operations
  • Pilotless Aircraft
  • Human Factors Engineering & Man Machine System
  • Aircraft maintenance
  • Performance(human)
  • Human factors engineering
  • Aviation accidents
  • Drones
  • Errors
  • Failure
  • Air force
  • Aircraft landings
  • Graphical user interface
  • Aircraft design
  • Army
  • Classification
  • Variations
  • Specifications
  • Takeoff
  • Display systems
  • Navy
Type of report
Final report.
Label
A summary of unmanned aircraft accident/incident data : human factors implications, Kevin Williams, (electronic resource)
Instantiates
Publication
Note
  • Title from title screen (viewed Oct. 29, 2010)
  • "December 2004."
Bibliography note
Includes bibliographical references (pages 13-14)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
227913320
Dimensions
unknown
Extent
1 online resource (i, 14 pages)
Form of item
online
Governing access note
APPROVED FOR PUBLIC RELEASE
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file.
Specific material designation
remote
System control number
(GPO)99323665
Label
A summary of unmanned aircraft accident/incident data : human factors implications, Kevin Williams, (electronic resource)
Publication
Note
  • Title from title screen (viewed Oct. 29, 2010)
  • "December 2004."
Bibliography note
Includes bibliographical references (pages 13-14)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
227913320
Dimensions
unknown
Extent
1 online resource (i, 14 pages)
Form of item
online
Governing access note
APPROVED FOR PUBLIC RELEASE
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file.
Specific material designation
remote
System control number
(GPO)99323665

Subject

Genre

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