Updated Collection Window: Now through March 27, 2026
This research is strictly focused on flight dynamics and safety behavior patterns.
It is not an evaluation of pilot skill, performance, or personal ability.
Run a provided Condor scenario/task file (Replay-based flight)
Fly normally in the simulator environment
Record and submit flight data files (.IGC and replay files)
Use XCSoar for standardized flight data logging
No competitive flying, scoring, or performance grading is involved.
Condor Replay Files
XCSoar Flight Logs (.IGC files)
Basic simulator flight dynamics data only
We do not collect:
Personal identity metrics
Biometric data
Real-world flight records
Pilot rankings or evaluations
Condor Flight Simulator (Not Free )
Recommend a Joystick and peddles for best data collection
XCSoar (Free – required for standardized .IGC log capture)
Install XCSoar (latest stable version)
Launch XCSoar before starting Condor
Go to: Config → Logger Settings
Ensure the following settings are enabled:
Logger: ON
Log Format: IGC
Auto Start Logging: Enabled
Set Pilot Name (optional – can be generic)
Confirm GPS/Simulator input is active (Condor connection)
Start the Condor scenario flight as provided
Fly normally (no special maneuvers required unless specified in the scenario)
End flight and allow XCSoar to save the .IGC file automatically or manually stop xcsoar
Please submit the following files after your flight:
.IGC file (primary flight log from XCSoar)
Condor Replay File (.rpy)
Recommended file naming format:
PilotAlias_Date_Task.igc
Example:
Pilot01_2026-03-10_Condor3.igc
A dedicated Google Drive folder will be provided for secure upload of:
XCSoar .IGC files
Condor replay files
Optional notes (if any anomalies occurred during flight)
Upload Instructions:
Open the provided Google Drive link
Upload both the .IGC and replay file
Do not rename files after upload
One flight per upload folder entry (if multiple flights, upload separately)
Original rollout: February 2026
Updated collection deadline: March 27, 2026
Rolling submissions accepted throughout the study window
This project supports ongoing simulator-based safety analytics research focused on:
Stall recognition
Spin and incipient spin pattern detection
Safety-oriented pattern classification
Human-in-the-loop simulator data analysis
This is a preparatory research effort with potential for future academic publication and safety modeling applications.
Volunteer participation only
Low workload (single scenario flight)
No grading or evaluation
Academic research use only
Scenario file, XCSoar configuration guide, and Google upload link will be provided upon request.
Contact:
Joseph Maroney
tjm24c@fsu.edu
FSU-Affiliated Graduate Research
/Blue Skies