effects of uav supervisory control on f-18 formation flight performance in a simulator environment
DESCRIPTION
EFFECTS OF UAV SUPERVISORY CONTROL ON F-18 FORMATION FLIGHT PERFORMANCE IN A SIMULATOR ENVIRONMENT. LCDR Eric McMullen MAJ Shane Grass Thesis Advisor: Dr. Ji -Hyun Yang Co-Advisor: Dr. Quinn Kennedy Second Reader: Dr. Joseph Sullivan. Outline. Background Pilot Study Hypotheses - PowerPoint PPT PresentationTRANSCRIPT
EFFECTS OF UAV SUPERVISORY CONTROL ON F-18 FORMATION FLIGHT PERFORMANCE IN A
SIMULATOR ENVIRONMENTLCDR Eric McMullen
MAJ Shane Grass
Thesis Advisor: Dr. Ji-Hyun Yang Co-Advisor: Dr. Quinn Kennedy
Second Reader: Dr. Joseph Sullivan
Outline
• Background • Pilot Study• Hypotheses• Experiment
– Participants– Equipment– Design
• Results– Data Formatting– Data Filtering– Statistics
• Future Work• Q&A 2
Background
• Distractions degrading task performance has been researched in numerous studies, but rarely concerning secondary tasks while flying military aircraft.
• Noted study by Strayer, Drews, & Couch (2006) investigated the effects of cell phone use while driving– Compared effects to intoxication– Frequently cited in Crew Resource
Management Instructors’ course for Naval Aviators
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Pilot Study
Conducted proof of concept in HF of System Design
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Inter-plane Following Distance
Hypotheses
The objective of this thesis is to investigate the following questions:
• What is the difference in performance of the primary flight task when performing a traditional secondary task versus a potential future UAV supervisory task?
• Does pilot experience and proficiency/currency indicate their primary task performance when performing a future secondary task?
• (EXPLORATORY) What is the difference in physiological measures such as heart rate, respiration rate, and posture when performing the traditional versus future secondary tasks?
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NAS Lemoore
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Participants
– Aviators from NAS Lemoore operational squadrons– CAT II-IV qualified (moderate to high experience)
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26 27 28 29 30 31 32 33 34 35 36 37 38 3901234567
Age of Subjects
Years
Subj
ects
400800
12001600
20002400
28003200
0
2
4
6
8
10
Total F-18 Time
Up to (hours)
Subj
ects
400800
12001600
20002400
28003200
0
2
4
6
8
10
Total Flight Time
Up to (hours)
Subj
ects
Median Mean SD
Equipment
• Primary Task Simulators : F-18 Tactical Operational Flight Trainers (TOFTs)
• Semi-Autonomous Wingman Supervisory Interface (SAWSI)
• BioHarness
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F-18 Tactical Operational Flight Trainer (TOFT)
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Semi-Autonomous Wingman Supervisory Interface (SAWSI)
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Cockpit Configuration
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BioHarness
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Records Heartrate, Respiratory Rate, Posture, and Skin Conductance
Design
• Planned for 40 participants• 3 Scripted Tasks with a practice session
– Baseline (no secondary task)– Traditional (w/Air-Ground task)– Futuristic (w/UAV task using SAWSI)
• Length– Each session 5 minutes long (~20 min sim period)– ~ 1 hr/participant total
• Simplified Randomization – Group A: B, T, F– Group B: B, F, T
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Primary Task - Parade Position
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Parade Position Inter-plane Following Distance
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Scenario Brief & Traditional Task
1650nm
Semi-Autonomous Wingman Supervisory Interface (SAWSI)
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SAWSI
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SAWSI
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SAWSI
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SAWSI
21
SAWSI
22
SAWSI
23
SAWSI
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Battle Hit Assessment (BHA)
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Future Task
2650nm
Script
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Data Formatting
28
Raw Data
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Data Filtering
if (filtering distance == 0) then use the original following distance value
else, (if original following distance>the filtering distance) then (if the previous cell following distance >
filtering distance) then use min(the next previous cell’s value,
filtering distance)else use the original following distance.
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Data Filtering
Smoothing Function=IF(AC$3=0,AB9,(IF (AB9> AC$3,IF(AB8>AC$3,MIN(AB7,AC$3),AB8),AB9)))
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FilteringDistance
Raw Data
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Filtered Data
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t-test Results on Filtered Data
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C/D vs E/F Comparison
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C/D
E/F
Filtered Averages by Session
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Perceived Cockpit Workload
Future Work
• Continue analysis of biodata• Factor in performance of secondary task• Study performance in multi-crew aircraft
compared to single pilot• Vary intensity of secondary task
– Increased UAVs– Vary frequency of interaction
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Questions and Answers
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