Unmanned aircraft are relied on now more than ever to save lives and support the troops in the recent Operation Enduring Freedom and Operation Iraqi Freedom. The demands for UAS capabilities are rapidly increasing in the civilian sector. However, UAS operations will not be carried out in the NAS until safety concerns are alleviated. Among these concerns is determining the appropriate level of automation in conjunction with a suitable pilot who exhibits the necessary knowledge, skills, and abilities to safely operate these systems.
This research examined two levels of automation: Management by Consent (MBC) and Management by Exception (MBE). User experiences were also analyzed in conjunction with both levels of automation while operating an unmanned aircraft simulator. The user experiences encompass three individual groups: Pilots, ATC, and Human Factors. Performance, workload, and situation awareness data were examined, but did not show any significant differences among the groups. Shortfalls and constraints are heavily examined to help pave the wave for future research.
","abstract_html":"<p>Unmanned aircraft are relied on now more than ever to save lives and support the troops in the recent Operation Enduring Freedom and Operation Iraqi Freedom. The demands for UAS capabilities are rapidly increasing in the civilian sector. However, UAS operations will not be carried out in the NAS until safety concerns are alleviated. Among these concerns is determining the appropriate level of automation in conjunction with a suitable pilot who exhibits the necessary knowledge, skills, and abilities to safely operate these systems.</p> <p>This research examined two levels of automation: Management by Consent (MBC) and Management by Exception (MBE). User experiences were also analyzed in conjunction with both levels of automation while operating an unmanned aircraft simulator. The user experiences encompass three individual groups: Pilots, ATC, and Human Factors. Performance, workload, and situation awareness data were examined, but did not show any significant differences among the groups. Shortfalls and constraints are heavily examined to help pave the wave for future research.</p>","abstract_has_math":false,"creators":["Reynolds, Christopher J."],"institution":null,"degree_name":"Master of Science in Human Factors & Systems","degree_level":"Thesis - Open Access","degree_discipline":"Human Factors and Systems","degree_department":null,"school":null,"contributors":["Dahai Liu","Shawn Michael Doherty","Nickolas D. Macchiarella"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009-10-01T07:00:00Z","date_published":"2009-10-01T07:00:00Z","updated_at":"2026-07-27T19:26:08Z","subjects":["pilots","air traffic control","automation","UAS","task performance","Aviation","Multi-Vehicle Systems and Air Traffic Control"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/db-theses/173","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dahai Liu","Shawn Michael Doherty","Nickolas D. Macchiarella"]},{"key":"dc:creator","label":"Author","values":["Reynolds, Christopher J."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Human Factors and Systems"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Human Factors & Systems"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["pilots","air traffic control","automation","UAS","task performance","Aviation","Multi-Vehicle Systems and Air Traffic Control"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/db-theses/173"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Unmanned aircraft are relied on now more than ever to save lives and support the troops in the recent Operation Enduring Freedom and Operation Iraqi Freedom. The demands for UAS capabilities are rapidly increasing in the civilian sector. However, UAS operations will not be carried out in the NAS until safety concerns are alleviated. Among these concerns is determining the appropriate level of automation in conjunction with a suitable pilot who exhibits the necessary knowledge, skills, and abilities to safely operate these systems.
This research examined two levels of automation: Management by Consent (MBC) and Management by Exception (MBE). User experiences were also analyzed in conjunction with both levels of automation while operating an unmanned aircraft simulator. The user experiences encompass three individual groups: Pilots, ATC, and Human Factors. Performance, workload, and situation awareness data were examined, but did not show any significant differences among the groups. Shortfalls and constraints are heavily examined to help pave the wave for future research.
"]},{"key":"dc:title","label":"Title","values":["The Effect of Pilot and Air Traffic Control Experiences & Automation Management Strategies on UAS Mission Task Performance"]}]}],"canonical_facts":{"dc:contributor":["Dahai Liu","Shawn Michael Doherty","Nickolas D. Macchiarella"],"dc:creator":["Reynolds, Christopher J."],"dc:description.abstract":["Unmanned aircraft are relied on now more than ever to save lives and support the troops in the recent Operation Enduring Freedom and Operation Iraqi Freedom. The demands for UAS capabilities are rapidly increasing in the civilian sector. However, UAS operations will not be carried out in the NAS until safety concerns are alleviated. Among these concerns is determining the appropriate level of automation in conjunction with a suitable pilot who exhibits the necessary knowledge, skills, and abilities to safely operate these systems.
This research examined two levels of automation: Management by Consent (MBC) and Management by Exception (MBE). User experiences were also analyzed in conjunction with both levels of automation while operating an unmanned aircraft simulator. The user experiences encompass three individual groups: Pilots, ATC, and Human Factors. Performance, workload, and situation awareness data were examined, but did not show any significant differences among the groups. Shortfalls and constraints are heavily examined to help pave the wave for future research.
"],"dc:identifier":["https://commons.erau.edu/db-theses/173"],"dc:subject":["pilots","air traffic control","automation","UAS","task performance","Aviation","Multi-Vehicle Systems and Air Traffic Control"],"dc:title":["The Effect of Pilot and Air Traffic Control Experiences & Automation Management Strategies on UAS Mission Task Performance"],"thesis:degree_discipline":["Human Factors and Systems"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Human Factors & Systems"]},"updated_at":"2026-07-27T19:26:08Z"}